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  1. Show HN: I Turned DOOM into a Transformer

    Doomformer compiles integer neural networks into ZDoom maps that run in ViZDoom. Voodoo dolls do the arithmetic, and sector light levels and plane heights hold the values. Python reads every value back and compares it with a NumPy integer reference at tolerance 0. It runs MNIST (97.16 % on all 10,000 digits, every pass exact), small transformers, a learning perceptron and a SUBLEQ machine. It is about 23,000 times slower than NumPy on a small MLP.

    github.comrepoAdded 30 Oct 2026, published 29 Oct 2026🧠 AI

  2. Show HN: Auto Dismiss Mac OS "Allow <app> to find devices on local networks?"

    dontallow is a two-file Swift launchd agent for macOS 15 and later that clicks "Don't Allow" on the "find devices on local networks" prompt. It watches the UserNotificationCenter process through an Accessibility observer, supports pause and allowlist, and can decode the Local Network rule store to show orphaned rows. It explains why Chromium temp-bundle paths make the prompt recur, and gives a PPPC profile route for fleets.

    github.comrepoAdded 30 Oct 2026, published 29 Oct 2026πŸ›‘οΈ Security

  3. Show HN: Hob - Open-source, on device alternative to Claude Cowork and ChatGPT

    Hob is an MIT-licensed desktop app from Frigade that runs open-weight models such as Gemma and gpt-oss locally on Mac, Windows and Linux. It picks the best open-weight model that fits the user's computer and sets it up. It is positioned as a free, private, offline alternative to Claude and ChatGPT for tasks like filling out PDFs and working through documents. The page gives no technical detail on its runtime.

    github.comrepoAdded 27 Oct 2026, published 26 Oct 2026🧠 AI

  4. KhulekanisiyandaMchunu/llm-trading-arena

    wtfibought (llm-trading-arena) is an MIT-licensed live arena where LLM agents trade virtual capital on real market data with all reasoning public. Users bring their own model and key, set the wake candle interval, leverage range and margin budget, with at most three symbols and twelve model calls per wake. The stack is Spring Boot on Java 25 with Spring AI, PostgreSQL, Redis and a React 19 frontend.

    github.comrepoAdded 26 Oct 2026, published 23 Oct 2026🧠 AI

  5. devploit/php2shell

    PHP2Shell is a research toolkit by devploit that reproduces a pre-auth remote code execution issue in PHP, tracked as CVE-2026-109618 and CVE-2026-109619, affecting the Apache mod_php and PHP-FPM SAPIs. The repository includes version-matched profiles for many PHP 7.4 through 8.5 builds, reproducible Docker and nginx test labs, a technical write-up of the vulnerability, and mitigation and detection recommendations for defenders.

    github.comrepoAdded 2 Nov 2026, published 21 Oct 2026πŸ›‘οΈ Security

  6. eness/php2shell-CVE-2026-109618-CVE-2026-109619-PoC

    php2shell is the name given to two critical pre-auth remote code execution flaws, CVE-2026-109618 and CVE-2026-109619, in PHP core's session upload progress handler (php_session_rfc1867_callback), where zend_hash_update frees live zval pointers that are later reclaimed and redirected into zend_call_function to run zif_system. This repository ships poc_109618.py, a fully automated four-stage HTTP exploit that leaks ASLR offsets via Set-Cookie headers against php:8.4.26-apache on Debian Bookworm, along with a root-cause C source patch, mitigation scripts to disable session.upload_progress, and WAF/ModSecurity/Lighttpd/Apache rules plus detection guidance for anomalous PHP worker child processes. Confirmed PHP versions include 8.4.4 and 8.2.34, with EOL branches (5.x, 7.x, 8.0, 8.1) left without official vendor patches.

    github.comrepoAdded 23 Oct 2026, published 21 Oct 2026πŸ›‘οΈ Security

  7. ikow/php2shell-poc

    php2shell-poc is a proof-of-concept and detection toolkit for CVE-2026-109618 and CVE-2026-109619, two PHP vulnerabilities tied to session.upload_progress handling and a Zend engine out-of-memory bailout path affecting PHP 5.4.0 through 8.5.11. The repository includes three working exploit chains, a Docker-based lab (PHP-FPM, nginx, Apache mod_php) for reproduction, and pre-built Suricata, Sigma, ModSecurity, and Lua detection rules. The author recommends disabling session.upload_progress as an interim mitigation, noting the underlying memory corruption requires a full PHP patch to fix.

    github.comrepoAdded 23 Oct 2026, published 21 Oct 2026πŸ›‘οΈ Security

  8. DeepInfer: High-performance inference framework for DeepSeek models

    DeepInfer is DeepSeek's open-source inference framework for offline inference of DeepSeek-V4.1-Flash, released under Apache 2.0. It covers attention data parallelism, MoE expert parallelism with load balancing, draft-token decoding with confidence-scheduled verification, batch-invariant inference, deterministic sampling and structured outputs. It runs on NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs. The KV cache system, prefill/decode disaggregation and load balancing are not included.

    github.comrepoAdded 21 Oct 2026, published 20 Oct 2026🧠 AI

  9. Show HN: WhatsApp MCP running free on Cloudflare

    whatsapp-mcp is an MCP server that runs in the user's own Cloudflare account and lets MCP clients such as Claude Code and Claude Desktop search and read WhatsApp chats. It links as a WhatsApp Web-style device through Baileys, stores messages in SQLite with FTS5 inside a Durable Object, and is read-only. The README documents deployment, OAuth sign-in, contact naming through agents, and workerd shims for Baileys.

    github.comrepoAdded 20 Oct 2026, published 18 Oct 2026🧠 AI

  10. DietrichGebert/ponytail

    Ponytail is a single skill prompt (skills/ponytail/SKILL.md, with a compact AGENTS.md) that makes coding agents write only the code a task needs, reusing existing components while keeping validation, error handling, security and accessibility. The author benchmarked it in Claude Code with Opus 5.5 over 39 tasks, 5 runs each, including a real FastAPI + React repo. They report -53% code, -41% time, -26% cost and -45% tokens, and 98% of risky logic shipping with a test versus 68% without. It adds /ponytail-review and /ponytail-audit commands, a Claude Code cost/token band with a local board, and installs through Claude Code and Codex plugin marketplaces or as a rules file for Cursor, Copilot, Gemini, OpenCode and others.

    github.comrepoAdded 17 Oct 2026🧠 AI

  11. OWASP/MCP-Security-Testing-Guide

    OWASP MCP Security Testing Guide is a living, GPL-3.0 collection treating the Model Context Protocol as a security boundary from user through model, MCP client, MCP server and tool to the target system. It covers threats, secure development, host/client controls, supply chain, enterprise gateways, detection, incident response, taxonomy, public incidents, case studies and review checklists, with 79 tests in Chapter 3 (sections 3.1–3.19). It includes a finding template, and it links the MCP Goat lab for safe practice. It is useful to AppSec, red team and SOC people assessing MCP deployments.

    github.comrepoAdded 17 Oct 2026πŸ›‘οΈ Security

  12. DeepSeek-v4.1-Flash-1017

    Model card for DeepSeek-V4.1-Flash-1017, a minor update to DeepSeek-V4.1-Flash with MIT-licensed weights. It claims gains in reasoning, coding, agentic tasks and visual benchmarks, with shorter task time and output length that move the performance–cost Pareto frontier across agent harnesses (Claude Code for Terminal-Bench 4.0, Mini-SWE-V2 for DeepSWE v1.1). It ships no Jinja chat template. It provides a reference encoding.py for multi-turn chat, tool calling, thinking mode, numeric reasoning effort and interleaved images, plus deepseek-recipe, Rust libraries with Python bindings for prompt encoding and output parsing. Serving recipes are given for Transformers, vLLM, SGLang and Docker Model Runner.

    huggingface.corepoAdded 18 Oct 2026, published 17 Oct 2026🧠 AI

  13. Meta Muse Spark Open (816B-A42B) open-weights model card

    Model card for Meta Superintelligence Labs' Muse Spark Open, an open-weights, natively multimodal model with 816B total and 42B active parameters and a 1M-token context window. It targets coding and agentic work (tool use, long-horizon tasks, multimodal reasoning, synthetic data generation, LLM-as-judge). It ships in BF16 and NVFP4, needs about 700GB VRAM (NVFP4) or 2TB (BF16), runs on SGLang, vLLM, Transformers, TensorRT-LLM, Unsloth, llama.cpp and MLX, and supports a reasoning_effort setting. The Muse Model License requires "Built with Muse Spark Open" attribution and a separate agreement for Model-as-a-Service above $20M revenue. The card reports safety results against Kimi K3 on cyber, chem/bio and loss-of-control evals.

    huggingface.corepoAdded 17 Oct 2026🧠 AI

  14. Llama.cpp on a jailbroken PS5: run any GGUF model natively on the console

    PS5LM is a homebrew app for jailbroken PS5s (firmware 7.00–13.60). It runs llama.cpp with the ggml-vulkan backend on the console's RDNA 2 GPU, using 11.4 GB of shared memory, and loads any GGUF model. It serves OpenAI /v1/chat/completions, Anthropic /v1/messages (usable from Claude Code, Codex and opencode) and a browser chat page on port 8081. It also supports image-projector vision models and TypeSafe-style decision models through a /v1/systemone endpoint. A planner picks the longest context and best cache that fit the free memory, and the app downloads models from Hugging Face.

    github.comrepoAdded 17 Oct 2026, published 16 Oct 2026🧠 AI

  15. gichirimaku/wp2shell-PoC

    wp2shell-PoC is a Python proof-of-concept exploiting a pre-authentication RCE chain in WordPress core, combining CVE-2026-63030 (REST API batch route confusion) and CVE-2026-60137 (SQL injection in WP_Query). It demonstrates escalation from the route-desync bug through blind SQLi, customize_changeset forgery, and hook re-entry to administrator account creation and arbitrary command execution via a malicious plugin upload. The tool supports vulnerability checking, data extraction (union, error-based, blind techniques), and full shell access with or without existing admin credentials.

    github.comrepoAdded 23 Oct 2026, published 15 Oct 2026πŸ›‘οΈ Security

  16. morluto/rea

    REA (rea-agents on npm) registers an MCP server and matching workflow instructions with coding agents such as Claude Code, Codex, Cursor and Gemini CLI. It exposes tools for inspecting native binaries through Hopper, Ghidra or IDA (with optional objdump and Rizin), JavaScript/Electron apps and ASAR archives, .NET assemblies and websites. Results come back with evidence and limitations, so the agent can explain how a feature works and write and test its own implementation. Analysis runs locally, there is a CLI with the same workflows, and the showcases include C reconstructions verified against original x86 function bytes.

    github.comrepoAdded 14 Oct 2026🧠 AI

  17. morluto/rea

    REA (rea-agents) is an MIT-licensed toolkit that exposes native-binary, JavaScript/Electron, .NET assembly and website analysis to AI agents via MCP, and also as a local CLI. It drives Hopper, Ghidra, IDA, objdump or Rizin for disassembly and pseudocode, recovers modules and Electron IPC boundaries from ASAR/JS apps, and returns findings with evidence and limitations. Showcases include reconstructing a x86 audio helper into byte-matching C and tracing an Electron clipboard API through preload and IPC; the README also carries lawful-use and licensing guidance.

    github.comrepoAdded 14 Oct 2026πŸ›‘οΈ Security

  18. BijectiveLabs/trading-research-agents

    Open-source Python CLI (`tra`) for autonomous trading desks in which LLM analysts (technical, macro, on-chain, sentiment) and validators only give opinions on figures the system computed. Fixed rules do the arithmetic: pricing the round-trip cost, applying risk limits, sizing, cost gates, and sending a single order with stop attached via ccxt (Bybit and OKX demo accounts tested). It supports multiple model providers with per-role models, effort settings and fallbacks. Every answer is parsed against a closed schema, every refusal is logged with the figure behind it, and models can tighten but never loosen controls. This makes it a concrete reference for keeping LLM agents away from arithmetic and money.

    github.comrepoAdded 18 Oct 2026, published 13 Oct 2026🧠 AI

  19. santosomar/AI-agents-for-cybersecurity

    Companion repository for Omar Santos's Pearson and O'Reilly trainings and books. It has eight parts of runnable Python labs: chat models, embeddings, prompt templates, LCEL prompt chaining, Chroma-based RAG, ReAct/LangGraph/CrewAI/DeepAgents agents, and FastMCP servers (nmap, CISA KEV, Shodan). It also includes guides to six agentic frameworks (OpenClaw, Hermes, Agent Zero, OpenHands, Paperclip, Buzz), a tokenomics module on agent cost (context compounding, prompt caching, model routing, token budget guards, batch API, cost per accepted outcome), and a vendor-neutral design spec for a human-gated multi-agent assessment harness. It is a current, practical curriculum for building and operating agents. Some examples act on real systems and should only be run in an authorized lab.

    github.comrepoAdded 13 Oct 2026🧠 AI

  20. santosomar/AI-agents-for-cybersecurity

    Omar Santos's companion repo for his Pearson/O'Reilly trainings and books, organised in eight parts. They cover LangChain prompts, chains and RAG (Chroma), and agents (LangGraph, CrewAI, DeepAgents). They also cover FastMCP security servers (nmap, CISA KEV, Shodan) and attack-surface-management and SOC agent examples. Later parts have security guides to six agentic frameworks (OpenClaw, Hermes, Agent Zero, OpenHands, Paperclip, Buzz) with hardening notes and 2026 CVE mapping, agent cost/tokenomics scripts including denial-of-wallet budget guards, and a vendor-neutral spec for a human-gated multi-agent security-assessment harness (scope manifest, approval gates, kill switch). Useful as a hands-on path into AI-agent security tooling, with warnings that some examples act on real systems.

    github.comrepoAdded 13 Oct 2026πŸ›‘οΈ Security

  21. Show HN: SolidCraft – Open-Source Parametric CAD in Rust (With MCP Support)

    SolidCraft is an open-source parametric 3D CAD application written in pure Rust. It has constrained sketches with its own solver, a feature timeline, assemblies, sheet metal, and STEP/IGES/3MF/STL export. It runs on desktop (egui+wgpu), in the browser, and as a headless CLI. The built-in MCP server (`solidcraft-cli mcp`) gives agents tools such as execute, batch, inspect_design, measure, set_parameter, screenshot and export. They can model headless or drive the running app over a JSON-lines control channel. A rover with 3,323 timeline steps was built entirely through MCP, which shows agent-driven parametric modelling working at scale.

    github.comrepoPublished and added 13 Oct 2026🧠 AI

  22. Show HN: Atticus – Hold-to-talk voice assistant for macOS that runs on Claude -p

    Atticus is an MIT-licensed macOS 26+ hold-to-talk voice assistant that uses Apple's on-device speech transcription and runs AI requests through Claude Code on an existing Claude Pro/Max plan, so no API key is needed. Simple commands skip the model entirely (apps open in 0.08 s), actions it has seen once are learned as zero-cost shortcuts, and a "remember…" memory persists across asks. It also sets up no-AI background watchers (polling every 5 s) and holds itself to a budget of a median under $0.002 and 6 s per AI ask, with a system prompt under 10,000 characters.

    github.comrepoPublished and added 12 Oct 2026🧠 AI

  23. argoproj-labs/mcp-for-argocd

    TypeScript MCP server for Argo CD that lets MCP clients (Cursor, VS Code, Claude Desktop) list, inspect, create, update, delete and sync applications, read logs and events, and run resource actions through natural language. It supports stdio and HTTP stream transports, with a stateless mode for multi-replica Kubernetes deployments. The security design is detailed: API tokens are read only from env vars or headers and never from tool arguments, the default token is bound to the default base URL, a per-host token registry covers extra instances, a read-only mode disables write tools, and the HTTP listener binds loopback by default and requires an inbound auth token if exposed.

    github.comrepoAdded 10 Oct 2026🧠 AI

  24. Qwen3.8-27B (Apache-2.0, multimodal dense, 262k ctx)

    Model card for Qwen3.8-27B, a 27B dense vision-language model from the Qwen team with a hybrid Gated DeltaNet / Gated Attention layout (64 layers, 16Γ—(3 DeltaNet + 1 attention)), MTP training, and 262k native context extensible to 1M via YaRN. It targets coding, research and long-horizon agentic tasks, with thinking on by default, reasoning_effort levels (xhigh/medium/low) and preserve_thinking. The card gives deployment recipes for Transformers, vLLM, SGLang and TokenSpeed, recommended sampling parameters, video-token settings for hour-scale video, and benchmark notes (SWE-bench Pro, NL2Repo-Bench, DeepSWE, HLE, MathVision, WebArena-Verified, etc.).

    huggingface.corepoAdded 9 Oct 2026🧠 AI

  25. Show HN: Let your AI agents paint big arrows, boxes and text on your screen

    bigarrow is an MIT-licensed, single-binary Swift macOS CLI that draws a click-through arrow and sign over all windows so an AI agent can show a human where to click, paste or act (permission prompts, 2FA, OAuth consent). It ships an Agent Skills package (installed via `bigarrow install-skill`) for Claude Code and Codex, with JSON output and exit codes, and can target by Accessibility label, coordinates, window or Peekaboo snapshot. The README documents the skill's token cost (182 tokens for the description, 1,398 for the instructions) and 104 automated tests.

    github.comrepoPublished and added 9 Oct 2026🧠 AI

  26. Show HN: Apogee: Rebuilding Mozilla's Orbit, fully local and private

    Apogee is a privacy-first browser extension (Chrome/Firefox) that summarizes articles, YouTube/Bilibili videos, PDFs, DOCX and pasted text entirely on-device, inspired by Mozilla's discontinued Orbit. It runs models via WebGPU or WebAssembly in the browser, or connects over loopback to a local Ollama or llama.cpp server, with local passage retrieval for Q&A, grounded sentence highlighting, and Opus-MT translation. It shows a practical no-backend, no-API-key architecture for local LLM apps, with a Node.js extractor test harness for contributors.

    github.comrepoPublished and added 9 Oct 2026🧠 AI

  27. Aleph Alpha Kolibri-1 (78B MoE, Apache 2.0)

    Kolibri-1 is Aleph Alpha's 78B-parameter mixture-of-experts reasoning model focused specifically on German and English, released under Apache 2.0 with weights, a vLLM plugin, and an extensive model card. It supports explicit reasoning-effort levels, Hermes-style tool calling, and a native 262144-token context validated to over 1M via sliding-window attention; the card details its UniBPE German-aware tokenizer, pre-training mid-training and long-context training recipe, MergeMix-based data-mix search, Merlin-Arthur hallucination-mitigation RL protocol, and benchmark results against Qwen3.5, Gemma 4, Nemotron 3 Nano, and Apertus on MMLU-Pro, GPQA, AIME, SWE-bench Verified, Terminal-Bench 2.1, and HLE.

    huggingface.corepoAdded 8 Oct 2026🧠 AI

  28. Dark Web Informer (@DarkWebInformer) on X

    Infoooze is an open-source command-line OSINT reconnaissance toolkit (github.com/devxprite/infoooze) that consolidates common footprinting tasks into one CLI: username enumeration across platforms, email discovery, subdomain enumeration, port scanning, WHOIS/DNS lookups, IP/HTTP header analysis, EXIF metadata extraction, GitHub recon, and URL scanning/expansion. It automatically saves results, making it a lightweight all-in-one alternative to running several separate recon tools.

    x.comrepoPublished and added 8 Oct 2026πŸ›‘οΈ Security

  29. microsoft/mxc

    MXC is Microsoft's cross-platform sandboxed code execution system for running untrusted workloads β€” model output, plugins, and tool calls β€” behind a unified containment model with Rust, .NET, and Node SDKs. It offers multiple containment backends (ProcessContainer, Windows Sandbox, LXC, Bubblewrap, Seatbelt, MicroVM/Nanvix, Hyperlight, WSLC) with JSON-based filesystem, network, and UI policies, plus diagnostics like audit mode for building policies from observed access.

    github.comrepoAdded 8 Oct 2026🧠 AI

  30. microsoft/mxc

    MXC is Microsoft's cross-platform sandboxed code execution system for running untrusted code such as LLM/agent output, plugins, and tools, offering containment backends ranging from OS-native process sandboxes (Windows Sandbox, LXC, Bubblewrap, Seatbelt) to full VMs (Nanvix MicroVM, Hyperlight). It exposes a unified JSON-based policy model for filesystem, network, and UI access controls, with Rust, .NET, and Node SDKs plus diagnostic tooling (audit mode, access-denied logging) to help developers tune containment rules for agentic workloads.

    github.comrepoAdded 8 Oct 2026πŸ›‘οΈ Security

  31. chainguard-dev/malcontent

    malcontent is Chainguard's open-source malware/supply-chain discovery tool that analyzes binaries (ELF, Mach-O, PE, a.out) and scripting-language source across Linux, macOS and Windows using 14,500+ YARA rules (including third-party rules from Avast, Elastic, FireEye, Mandiant, Nextron and ReversingLabs). Its standout feature is differential analysis ("mal diff"), which compares two versions of a build artifact or OCI image against a known-good baseline to surface newly introduced risky behaviors β€” the technique the project demonstrates on the 3CX supply-chain compromise by flagging unexpected high-risk changes to libffmpeg. It also supports threshold-based scanning ("mal scan") and unfiltered capability enumeration ("mal analyze"), and is designed to run inside CI/CD pipelines, including air-gapped environments via embedded rules.

    github.comrepoAdded 8 Oct 2026πŸ›‘οΈ Security

  32. deepfence/YaraHunter

    YaraHunter is Deepfence's open-source scanner that applies YARA rulesets against container images, running Docker containers, and filesystems to detect indicators of compromise such as malware and cryptominers. It supports CI/CD build-time scanning, at-rest image scanning, and runtime container scanning, with JSON output for automation, and is designed to eventually integrate into the Deepfence ThreatMapper platform. The README walks through detecting the XMRig cryptominer inside a container image as a worked example.

    github.comrepoAdded 8 Oct 2026πŸ›‘οΈ Security

  33. Port of the TypeScript compiler, checker and lsp to Rust, by LLM

    ts-rust (npm package tsc-rs) is a from-scratch Rust port of Microsoft's TypeScript compiler/checker/language server (typescript-go), produced almost entirely by LLM coding agents rather than hand-written. The author first spent over $400,000 in API tokens running GPT-5.6 Sol and GPT-6 Astra in long agentic '/goal' loops, which wrote 1.3M lines of Rust but plateaued at ~84% compatibility; switching to Claude Opus 5.5 produced a working version in 10 hours and, after ~$24,000 of further API spend over two weeks, reached 100% compatibility on tested real-world projects while passing all 181,711 ported Go baseline tests. Benchmarks show the Rust port running about 1.6x faster than the Go tsc 7 compiler (though slower than Bun's native `bun check`) across dozens of open-source codebases including VS Code, TanStack Query, Sentry and T3 Code.

    github.comrepoPublished and added 8 Oct 2026🧠 AI

  34. Show HN: NanoMuse – An open-source AI agent for your phone and computer

    nanoMuse is an open-source personal AI agent that runs across phone, desktop, and web, built on an on-device sandbox (OpenMinis with proot/Alpine Linux on mobile) and the DeepSeek Harness on desktop with a Python runtime for tool use. Devices share one account and sync conversations through a relay (self-hostable), while the agent proactively acts, retains memory, and pauses before irreversible actions; it is released GPL-3.0-or-later with documentation on install, self-hosting, connectors, and memory.

    github.comrepoPublished and added 7 Oct 2026🧠 AI

  35. browser-use/jev-ultrafast

    jev-ultrafast is an open-source browser automation agent (from Browser Use) that represents each page as an indexed element table and uses a 'TypeSafe' policy to speculatively predict both the next operation (CLICK, TYPE_TEXT, SELECT, SCROLL, WAIT, DONE, BLOCKED) and its target in a single network round trip, only invoking a small LLM (e.g. inception/mercury-2.5 via OpenRouter) to generate text when the operation is TYPE_TEXT. The repo includes a local inspector UI, Chrome automation via a 'Browser Harness' tool, offline tests, and published before/after benchmarks showing a Google Flights search dropping from a median 9.45s to 7.09s and browser protocol calls from 1,092 to 101 across repeated runs.

    github.comrepoAdded 6 Oct 2026🧠 AI

  36. overmind-core/overmind

    Overmind is an open-source platform (MIT SDK/CLI, AGPL-3.0 platform, self-hostable) that instruments an agent's code via OpenTelemetry tracing, turns the resulting production traces (or any dataset) into a fine-tuned model benchmarked against user-defined eval metrics, and serves it through one unified API with downloadable/retrainable weights. It ships an SDK, CLI, REST API, Console, and an MCP server exposing project tools and workflows (investigate-capability, finetune-capability, ship-model) for Cursor, Claude Code, OpenCode and Codex, and can sync traces from Langfuse, LangSmith, Braintrust or Galileo; self-hosting runs via Docker Compose with Postgres, Redis, Celery workers and Modal-based GPU workers for fine-tuning/serving (vLLM).

    github.comrepoAdded 6 Oct 2026🧠 AI

  37. claude-mem β€” persistent memory system for Claude Code and other coding agents

    Claude-Mem is an open-source persistent memory plugin for Claude Code and other coding agents (Codex, OpenCode, Grok Bot, T3 Code, OpenClaw) that captures tool-usage observations during sessions, compresses them into semantic summaries, and reinjects relevant context into future sessions. It uses five lifecycle hooks (SessionStart, UserPromptSubmit, PostToolUse, Stop, SessionEnd), a local SQLite database, a Chroma vector store for hybrid semantic+keyword search, and exposes three MCP tools (search, timeline, get_observations) that follow a token-efficient layered retrieval pattern to cut context costs roughly 10x. It is Apache-2.0 licensed, built with the Claude Agent SDK and TypeScript, and ships an optional hosted "observer" memory service alongside self-hosted options via OpenRouter/Gemini keys or an Anthropic plan.

    github.comrepoAdded 5 Oct 2026🧠 AI

  38. M-med/Active-Directory-Simulation-Attack-

    Active-Directory-Simulation-Attack- is a purple team lab for the lab.local domain (192.168.100.0/24). It walks through an attack chain: BloodHound/SharpHound recon, Kerberoasting, hash cracking with John the Ripper or Hashcat, and lateral movement with Impacket. It then applies hardening (gMSA, tiering, LLMNR/NetBIOS disabling) and adds Sysmon, Wazuh SIEM and custom Kerberoasting rules (Event ID 4769, RC4).

    github.comrepoAdded 23 Oct 2026, published 4 Oct 2026πŸ›‘οΈ Security

  39. DeepZero

    DeepZero is an open-source orchestration engine that lets researchers define vulnerability-research pipelines declaratively in YAML, handling parallel execution (ThreadPoolExecutor), resumable/fault-tolerant state, and LLM-assessment stages via LiteLLM/Jinja2 prompts. It ships example processors for Ghidra headless decompilation, LOLDrivers.io hash exclusion filtering, PE header/driver metadata extraction, and batch Semgrep scanning, with a dedicated pipeline for BYOVD kernel driver vulnerability research. An extensibility model lets users plug in custom Python processors referenced by path in the YAML config.

    github.comrepoAdded 3 Oct 2026πŸ›‘οΈ Security

  40. Microsoft Agent Framework β€” python-1.20.0 release

    Release notes for Microsoft's Agent Framework (Python and .NET SDKs), covering versions python-1.16 through python-1.20 and dotnet-1.19 through dotnet-1.23. Changes span native vector-store connectors (MongoDB, Qdrant, PostgreSQL/pgvector, DuckDB, SQL Server, Azure Cosmos DB, Azure AI Search), Foundry hosting redesigns around request-scoped agent factories and durable Invocations, MCP skill/session security hardening (approval binding, security labels, ZIP-only skill archives), Magentic multi-agent orchestration and handoff routing, and checkpoint/replay correctness fixes across workflows.

    github.comrepoAdded 2 Oct 2026🧠 AI

  41. Tencent Hy4 preview (open-weight MoE + Sherry quantization)

    Hy4 preview is Tencent's new flagship Mixture-of-Experts language model: 770B total parameters with 49B activated per token across 78 layers (256 routed experts + 1 shared expert, top-8 routing), plus a native 10B multi-token-prediction layer for speculative decoding. It introduces Gated DeepSeek Sparse Attention with IndexCache for cross-layer index reuse and identity Hyper-Connections (iHC) on the residual path, and in blind internal evaluations on engineering tasks it edges out GLM-5.3 and Kimi K3. Weights (including an FP8 variant) are released under Apache 2.0 on Hugging Face with vLLM/SGLang deployment recipes and AngelSlim-based quantization/compression tooling.

    huggingface.corepoAdded 2 Oct 2026🧠 AI

  42. Bifrost (Maxim AI) β€” open-source LLM gateway

    Bifrost is an open-source, high-performance LLM gateway (by Maxim AI) that exposes a single OpenAI-compatible API across 23+ providers including OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Cohere, Mistral, and Ollama. It provides automatic failover, load balancing, semantic caching, Model Context Protocol (MCP) tool integration, budget and governance controls, OIDC user provisioning, and Prometheus-based observability, deployable via npx or Docker with claimed sub-15 microsecond overhead at 5,000 RPS. It is positioned as a drop-in replacement requiring only a base-URL change for existing OpenAI, Anthropic, or GenAI SDK code.

    github.comrepoAdded 2 Oct 2026🧠 AI

  43. zzzz7788990213-ops/EvoVLM

    EvoVLM searches over prompts, image preprocessing, generation budgets and answer extraction for frozen Qwen3-VL-2B-Instruct and Qwen3-VL-2B-Thinking, without fine-tuning weights. A local Qwen model ranks a catalog of typed mutations, a trusted renderer produces Python programs, and Pareto selection on accuracy and latency drives two small generations on scientific chart understanding (CharXiv subset). Recorded results on Dev128: Evolved Instruct keeps accuracy with 8.9% lower median latency, and Evolved Thinking gains 16.41 points of accuracy with 10.6% lower median latency. CPU-only replay and fail-closed evidence verification are included. The authors state the limits: small sample, overlap with the evolution set, and results tied to the recorded hardware.

    github.comrepoAdded 16 Oct 2026, published 2 Oct 2026🧠 AI

  44. https://github.com/Panniantong/Agent-Reach

    Agent-Reach is a CLI and agent-"skill" layer that equips coding agents (Claude Code, Cursor, OpenClaw) with ready-made web-reading tool use: fetching arbitrary pages via Jina Reader, YouTube transcripts via yt-dlp, GitHub repos via gh CLI, Bilibili search, RSS via feedparser, and semantic web search via Exa through mcporter, with login-gated platforms (Twitter/X, Reddit, Xiaohongshu, Facebook, Instagram) added on request via cookies or OpenCLI browser sessions. Each platform module probes an ordered list of candidate backends and falls back automatically when one breaks (e.g. yt-dlp being blocked by Bilibili's anti-scraping), and an `agent-reach doctor` command reports which backend each channel is currently using. It positions itself as a "capability layer" that selects, installs and health-checks the right upstream tool for an agent rather than wrapping the reads itself.

    github.comrepoAdded 2 Oct 2026, published 1 Oct 2026🧠 AI

  45. Andrea (Drego) Draghetti πŸ‘¨πŸ»β€πŸ’» 🎣 (@AndreaDraghetti) on X

    Tosint v1.0.0 is an open-source Telegram OSINT tool for analyzing bots and chats, exporting message history and media. The new release adds richer JSONL metadata output, optional SHA-256 hashing of exported media, bot/user authentication support, and an automatic fallback from MTProto-based history retrieval to ID-scan mode when dealing with restricted chats.

    x.comrepoAdded 2 Oct 2026, published 30 Sep 2026πŸ›‘οΈ Security

  46. rehan-remade/universal-modder

    universal-modder is a set of Agent Skills, a CLI (um) and a shared knowledge base (field notes in knowledge/) that let AI coding agents such as Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot and OpenCode find a PC game's engine, reverse-engineer its code, build a working mod, generate art/3D/sound assets via the fal MCP server (or a local ComfyUI server), test the mod in the running game, and write a field note for the next agent. It ships worked examples β€” a weapon/boss pack for Terraria via tModLoader, a new civilization for Age of Empires II DE, and a real-time Minecraft-inside-GTA-V passthrough mod β€” each documented with a field note of exact versions, routes and gotchas, and agents can open pull requests to grow the shared knowledge base.

    github.comrepoAdded 6 Oct 2026, published 30 Sep 2026🧠 AI

  47. feder-cr/invisible_playwright_mcp

    invisible_playwright_mcp is an MCP server (and companion Python library, invisible_playwright) that wraps Playwright so an LLM agent can operate a real browser like a human: clicking, typing, scrolling and reading page content, useful for tasks like checking flight fares across a date range where no API exists. It ships a standalone chat+live-browser UI driven by any OpenRouter model, installs as a plugin for Claude Code, Codex and Gemini CLI, and exposes stealth/identity controls (seed-based browser fingerprint, proxy-derived timezone/locale/geolocation, persistent profile directories) via its invisible_core component.

    github.comrepoAdded 7 Oct 2026, published 29 Sep 2026🧠 AI

  48. NVIDIA OpenShell β€” secure runtime for autonomous AI agent fleets

    OpenShell is NVIDIA's open-source runtime for running fleets of autonomous AI agents in isolated sandboxes, enforcing per-agent policies on filesystem, syscall, and network access at the kernel level and injecting credentials only for approved endpoints. Policy changes go through a formal-verification step (an 'advisor'/'prover') that flags newly granted risky access, such as a new host reachable with credentials, before it's applied, and it deploys via Docker/Podman/host virtualization or Kubernetes with Helm.

    github.comrepoAdded 29 Sep 2026πŸ›‘οΈ Security

  49. Ternary-Bonsai-2-27B: 27B model compressed to ~1.75 bits/weight, 98.2% of FP16 quality retained

    Ternary-Bonsai-2-27B is a 27B-parameter reasoning model (built on Qwen3.8-27B) quantized to true ternary weights ({-1,0,+1}) at ~1.72 bits/weight, shrinking it from ~54GB FP16 to ~5.95GB while retaining 98.2% of FP16 benchmark quality (84.78 vs the conventional sub-4-bit IQ2_XXS build's 72.59). It uses a Hadamard-rotated weight basis and ships two GGUF packing formats (PTQ1_0 dense trits, PQ2_0 2-bit slots) that require a custom llama.cpp/MLX kernel fork since stock llama.cpp cannot decode them correctly. The card includes per-category benchmark breakdowns (math, coding, agentic tool calling), cross-platform throughput/power measurements (Apple M5 Pro/Max, RTX 5090, L4, H100/A100/Blackwell), and an "intelligence density" metric comparing capability retained per GB against FP16 and other quantizations.

    huggingface.corepoAdded 29 Sep 2026🧠 AI

  50. MiMo-V2.6 (Xiaomi): Pro/Flash/9B-distill open-weight release, MIT license, 1M context

    Hugging Face collection for Xiaomi's MiMo-V2.6 model family, comprising five open-weight checkpoints: MiMo-V2.6-Pro-RL (1T params), MiMo-V2.6-Flash-RL (311B params), a MiMo-V2.6-Distill-Qwen-9B distillation (vision-language capable), and Pro/Flash MOPD variants. The title claims MIT licensing and a 1M-token context window, positioning this as a large open-weight release spanning full-scale RL-trained models down to a 9B distilled variant usable on consumer hardware.

    huggingface.corepoAdded 29 Sep 2026🧠 AI

  51. https://github.com/dmdhrumilmistry/security-harness

    security-harness is an open-source Claude Code plugin (also packaged for Gemini CLI, Codex and opencode) that orchestrates subagents β€” sh-recon, sh-hunter, sh-chainer, sh-verifier, sh-reporter β€” through a static-analysis pipeline covering 15 vulnerability classes (IDOR/BOLA, SQLi, XSS, SSRF, injection, auth, deserialization, path traversal, secrets, CSRF, XXE, open redirect, crypto, race conditions, file upload), producing README/JSON/SARIF/HTML/PDF reports with PoCs, CVSS and CWE/OWASP mappings. It also ships sh-pr-review, a per-PR merge-gate skill that posts inline findings and a commit status scoped only to code the PR itself introduced or aggravated, with caching, dedup via fingerprints, and a scheduled GitHub Action that keeps its per-class knowledge bases fresh by having one AI agent draft updates from allowlisted sources (OWASP, PortSwigger Research, CWE/CAPEC, HackerOne) while a separate adversarial reviewer agent fails-closed against prompt injection before auto-merge.

    github.comrepoAdded 2 Oct 2026, published 29 Sep 2026πŸ›‘οΈ Security

  52. StartLuxLabs/StartLux-Decision

    StartLux-Decision is a family of open decision models (0.8B to 27B, plus a 35B-A3B mixture of experts) that return probabilities for every option of typed choice, yes/no and score questions. The repository holds the inference engine and HTTP server (vLLM plugin, /v1/systemone API), with Instant one-pass and AutoThink gated-reasoning variants. Reports first place of 174 entries on Decision Index 0.3.2 (69.12). Code is Apache 2.0; weights are CC BY-NC 4.0.

    github.comrepoAdded 23 Oct 2026, published 29 Sep 2026🧠 AI

  53. Uncensored and Offensive Security AI Models Benchmark

    A curated GitHub list of open-weight "uncensored" and security-fine-tuned LLMs intended for authorized red teaming, pentesting, and security research, covering models like WhiteRabbitNeo's DeepHat V2, BugTraceAI-CORE, CYBER-FROST, and several abliterated Qwen/GLM/DeepSeek variants. It explains the underlying techniques (abliteration per Arditi et al. 2024, QLoRA/DPO fine-tuning, GGUF/FP8 quantization) and links to Hugging Face model cards, benchmark suites (CyberBench, TrustedSec's LLM Attack Benchmark vs OWASP Juice Shop), and deployment platforms for running these models locally or via API.

    github.comrepoAdded 2 Oct 2026, published 29 Sep 2026πŸ›‘οΈ Security

  54. Uncensored and Offensive Security AI Models Benchmark

    A GitHub README curating open-weight "uncensored" and security-fine-tuned LLMs (e.g. WhiteRabbitNeo's DeepHat V2, BugTraceAI-CORE, CYBER-FROST, CyberPal2.0, Lily-Cybersecurity-7B, Dolphin-Llama3-8B, Wizard-Vicuna-13B-Uncensored, huihui-ai's abliterated Qwen variants) with HuggingFace download links, quantization formats (GGUF, FP8, Q4_K_M, Q6_K), and training techniques used (SFT, QLoRA, DPO, abliteration, MoE/MTP architectures). It also includes a glossary explaining abliteration (orthogonalizing the refusal direction out of the residual stream, per Arditi et al. 2024) and references benchmarks like CyberBench and TrustedSec's LLM Attack Benchmark, making it a practical reference for anyone sourcing or deploying refusal-removed models.

    github.comrepoAdded 2 Oct 2026, published 29 Sep 2026🧠 AI

  55. vLLM v0.30.0

    Release notes for vLLM v0.30.0, a major update to the open-source LLM inference/serving engine spanning 762 commits. Highlights include new model support (DeepSeek-V4.1-Flash, GLM-5.3-Flash, Kimi K3, Qwen3.8-Flash-Next, K2-Horizon, Cohere Compass and others), a "Fast Start" GPU weight-cache daemon for near-instant engine restarts via CUDA IPC, Gumbel-max watermarking for generated text, a HiSparse host-memory tier for sparse-MLA KV offload, Model Runner V2 improvements (dual-batch overlap, speculative decoding under pipeline parallelism), expanded quantization support (NVFP4, W4A16 DSA, AutoRound), and hardware-specific tuning across NVIDIA, AMD ROCm, Intel XPU and CPU backends.

    github.comrepoAdded 28 Sep 2026🧠 AI

  56. dagoSte/squadra

    Squadra (version 3.11.0) is an MIT-licensed Python 3.12+ tool that coordinates several Claude Code, Codex and interactive Cursor windows on one project through a shared local registry. It records tasks, acknowledgements, source-bound proofs and independent reviews by a window that did not write the code. A local dashboard shows progress, per-window token usage and model-balance suggestions, and community plugins extend it. The page was truncated, so later sections are not covered.

    github.comrepoAdded 27 Oct 2026, published 28 Sep 2026🧠 AI

  57. SpecterOps/Blacklight β€” local AI agent attack surface mapping toolkit

    Blacklight is a SpecterOps toolkit for endpoint forensics on AI coding agents, split into Scout (bounded metadata/filesystem triage across Codex, Claude Code, Cursor, Antigravity CLI, and Grok that finds candidate session artifacts without reading their contents) and Session Analysis (a Python CLI that parses selected JSONL/SQLite session downloads from Codex, Claude Code, Cursor, and Antigravity CLI into ranked, redacted local reports). It's built for investigators who need to identify and review AI agent session history on a host β€” surfacing config, auth metadata, and high-value indicators β€” while explicitly leaving secret scanning to external tooling; paths are informed by SpecterOps' Endpoint AI Agent Abuse (EAA) technique catalog.

    github.comrepoAdded 27 Sep 2026πŸ›‘οΈ Security

  58. 0xtbug/Recat

    Recat is a local, Bun-based web workspace for reviewing security findings, including ones produced by AI agents such as Hermes, Codex and Claude Code. It reads a folder of finding.json, README and PoC evidence per project, and offers a dashboard by severity, status and asset coverage (web, smart contract, mobile, desktop, network, hardware). It also has filters by vulnerability class, an evidence viewer, JSON and ZIP exports, password-protected access with a censored view, and a SKILL.md reporting skill that lets agents write findings straight to the source folder.

    github.comrepoAdded 16 Oct 2026, published 27 Sep 2026πŸ›‘οΈ Security

  59. awslabs/mcp release 2026.09.20260922000649

    This is a release changelog for awslabs/mcp, AWS Labs' collection of Model Context Protocol servers covering services like HealthOmics, Aurora DSQL, Bedrock Knowledge Base retrieval, ECS, CloudWatch, billing/cost management, and dataprocessing. This release adds vended metrics tools, SQL parser-based policy guards for Aurora DSQL, agentic retrieval support for Bedrock KB, and fixes several security issues including region validation to prevent SSRF credential disclosure in the CloudWatch server and read-only mode bypass in the MySQL server. It reflects an actively maintained, high-velocity multi-server MCP monorepo used for AWS tool integration with LLM agents.

    github.comrepoAdded 26 Sep 2026🧠 AI

  60. graygnatconsole/mcp-audit-tool

    mcp-audit-tool is a dependency-light Python CLI that statically scans Claude Desktop, Cursor, Windsurf, Cline, Zed, and VS Code MCP configuration files for security issues, including hardcoded secrets, unpinned/rug-pull packages, pipe-to-shell installers, tool-poisoning via hidden instructions in tool descriptions, filesystem servers rooted at '/', and unauthenticated plaintext HTTP MCP endpoints. It auto-discovers configs across macOS/Linux/Windows, produces a security score/grade plus SARIF 2.1.0 output for GitHub Code Scanning, and is built around the OWASP MCP Top 10 categories with a CI/CD example that fails builds on severity thresholds. The roadmap adds live server probing over stdio/SSE for runtime rug-pull detection and an ML-based prompt-injection classifier for tool descriptions.

    github.comrepoPublished and added 26 Sep 2026πŸ›‘οΈ Security

  61. Sandyaa β€” open-source autonomous code auditor that proves bugs with working exploit PoCs

    Sandyaa is an open-source autonomous code-audit tool that points at a local directory or git URL and runs end-to-end, driven by the Claude Code CLI (optionally Gemini) with no separate API key required. It uses a Recursive Language Model approach β€” the model drives a Python REPL to chunk code, spawn sub-LLM queries, and aggregate results β€” running eight recursive passes (call-chain tracing, data-flow expansion, vulnerability chaining, exploitability proof, etc.) and an attacker-control-reachability analyzer to filter unreachable findings, then writes each finding with a working exploit PoC and an evidence.json linking claims to file/line. Maintained by SecureLayer7, who report using it to surface zero-days; it's alpha-stage, macOS-tested, Linux/WSL2-expected-to-work, and unsupported on native Windows.

    github.comrepoAdded 26 Sep 2026πŸ›‘οΈ Security

  62. Hindsight β€” Agent Memory That Learns

    Hindsight is an open-source agent memory system (MIT-licensed, self-hostable via Docker/Helm or usable as Hindsight Cloud) that goes beyond RAG-style recall by having agents learn through consolidated observations and mental models built from retained facts and experiences. It exposes retain/recall/reflect operations, a built-in MCP server per memory bank, Python/Node/Go/CLI clients, an LLM-wrapper for drop-in memory on OpenAI/Anthropic calls, and reports state-of-the-art results on the LongMemEval long-term memory benchmark, independently reproduced by Virginia Tech's Sanghani Center and The Washington Post.

    github.comrepoAdded 26 Sep 2026🧠 AI

  63. rewanthtammana/Who-Let-The-Agents-Act

    who-let-the-agents-act is a self-hostable lab suite (Docker/Python, Groq-backed LLM agent) with nine isolated scenarios β€” overpowered data tools, IDOR-style cross-account access, unsafe agent handoffs, refund-limit bypass, indirect prompt injection via poisoned invoices, multi-tenant RAG leakage, secret leakage through debugging, fail-open approval outages, and a multi-hop confused-deputy agent chain. Each scenario runs in multiple modes (vulnerable vs. application-enforced) against the same prompt, recording model plan, policy decision, tool calls, and DB access as JSON so a reader can directly compare what changes when authorization is enforced outside the system prompt.

    github.comrepoAdded 26 Sep 2026πŸ›‘οΈ Security

  64. Show HN: Whiteboard (YC W26) – An open-source IDE for thoughtful software design

    Whiteboard is an open-source (MIT) desktop IDE that gives coding agents like Claude Code and Codex an SDK to draw diagrams, sequence charts, and traces on a shared canvas linked directly to underlying code. It vendors Code OSS for VSCode-grade navigation/LSP support and adds a custom Rust-built AST-aware semantic diff viewer (with a WASM plugin system) that summarizes large generated functions as pseudocode and collapses noise like tests/docs, aiming to make reviewing autonomous agent decisions and code changes tractable.

    github.comrepoAdded 26 Sep 2026, published 24 Sep 2026🧠 AI

  65. shai-hulud-detect: multi-ecosystem npm/PyPI/Composer/Crates/Go/Hex/RubyGems supply-chain worm scanner

    shai-hulud-detect is a dependency-free Bash scanner that checks projects against a 5,782-entry list of compromised npm, PyPI, Composer, Crates, Go, Hex, and RubyGems package versions, plus content-pattern indicators of compromise (malicious file hashes, C2 domains, dead-man's-switch artifacts, forged commits, suspicious lifecycle hooks) tied to the Shai-Hulud supply-chain attack waves. It supports single-project and bulk scanning, CI-friendly exit codes, JSON/log output for pipeline gating, and a --check-host mode to detect the May 2026 gh-token-monitor/kitty-monitor persistence daemons that wipe hosts if their monitored GitHub token is revoked (with a documented safe remediation order). Detection is read-only; new package entries are sourced from named threat-research firms (Socket, StepSecurity, Aikido, Snyk, JFrog, Wiz, Semgrep, SafeDep, GitGuardian, OX Security) and cited in PRs.

    github.comrepoAdded 23 Sep 2026πŸ›‘οΈ Security

  66. DVLAA

    DVLAA (Damn Vulnerable LLM and Agent Application) is a self-hosted, Docker-deployable security training range for LLM and agent applications, modeled on the DVWA concept but for AI. It covers OWASP LLM Top 10 and Agent Security Top 10 risks (prompt injection, RAG poisoning, tool abuse, memory poisoning, excessive resource consumption, etc.) through 81 hands-on challenges, including an "AWDP" attack/defense track where 10 challenges reproduce real disclosed vulnerabilities in Dify, RAGFlow, Langflow, Flowise, Open WebUI and n8n (with optional real upstream container reproduction), 20 challenges adapted from a China–ASEAN AI security CTF, and 6 challenges adapted from a real model-poisoning CTF. It provides real model interaction, state-machine flag verification, source/prompt viewers, model management (local, Ollama, SiliconFlow, OpenAI-compatible), and bilingual UI.

    github.comrepoAdded 22 Sep 2026πŸ›‘οΈ Security

  67. yibie/jev-engineering-zh

    A Chinese translation (with original source notes) of a design essay synthesizing TypeSafe founder Diogo Almeida's notes on 'Jev,' a typed decision model that drives a coding-agent harness. It argues coding agents are simple loops whose real leverage lies in how context is assembled each turn, and works through six problems inherited from KV-cache-driven, append-only context design: costly model routing, tool-schema bloat, lossy compaction, rare sub-agents, destructive session restarts, and the built-in-capabilities tradeoff. It proposes fixes including query-aware context scoring/visibility tiers, cost-aware routing that accounts for cache reprocessing, tiered tool disclosure, conditional AGENTS.md loading, and shared read-only background retrieval.

    github.comrepoAdded 26 Sep 2026, published 22 Sep 2026🧠 AI

  68. Supply Chain Firewall (Datadog)

    Supply Chain Firewall (SCFW) is a Datadog-built CLI that wraps npm, pip, and poetry commands to inspect every package target against known-malicious/compromised package datasets (the open-source malicious-software-packages-dataset and OSV.dev) before installation proceeds, blocking or warning on hits. It ships as a single Go binary, can be aliased transparently into a developer's shell, and optionally reports run outcomes and enforces centralized allow/block policies through Datadog Code Security across a fleet, sending only package metadata (never source code) to Datadog.

    github.comrepoAdded 22 Sep 2026πŸ›‘οΈ Security

  69. merijjeyn/jive

    Jive is an open-source agent framework that replaces the standard LLM-call/tool-call loop with 'Graph Calls' β€” DAG-based workflows combining traditional tool calls with fast 'Jev' (System One) model calls for repetitive or intuitive steps. It aims to reduce token cost and latency versus agents like Claude Code and Codex by only invoking expensive reasoning LLM calls when needed, letting cheaper System One models follow through on planned execution graphs.

    github.comrepoAdded 26 Sep 2026, published 21 Sep 2026🧠 AI

  70. CVE-2026-26980 β€” Ghost CMS Content API unauthenticated blind SQLi lab

    A Docker-based exploitation lab for CVE-2026-26980, an unauthenticated blind SQL injection in Ghost CMS's Content API (versions before 6.19.1). The bug lives in slug-filter-order.js, where slug values from the array-notation filter syntax (filter=slug:['value']) are interpolated unsanitized into an ORDER BY CASE statement, letting NQL's single-quote-wrapped literals smuggle raw SQL past input validation; since MySQL treats || as OR and empty strings as falsy, attackers get a clean boolean oracle to extract data (e.g. admin email/password hash) from any Ghost site using only the publicly embedded Content API key. The repo includes exploit.py for full setup/verify/extract, a docker-compose lab spinning up both vulnerable (6.18.0) and patched (6.19.1) Ghost instances, and also mentions a second patched bug (jsonpath/static-eval prototype pollution in the {{#get}} Handlebars helper leading to RCE via themes).

    github.comrepoAdded 21 Sep 2026πŸ›‘οΈ Security

  71. awarexone/Agentic-Bug-Hunter

    Agentic-Bug-Hunter is an open-source CLI (bughunter) and Claude Code plugin that automates the bug bounty pipeline end-to-end: recon, vulnerability hunting across 26 web2 and 10 web3/smart-contract bug classes, a "7-Question Gate" validation step to kill weak findings, and submission-ready report generation for HackerOne, Bugcrowd, Intigriti, and Immunefi. It orchestrates existing scanners (subfinder, httpx, nuclei, katana, ffuf, dalfox) behind a multi-provider LLM layer (Ollama, Groq, DeepSeek, Claude, OpenAI) and cross-session "hunt memory," and also ships an MCP server for use from Cursor, Codex, or OpenCode.

    github.comrepoAdded 21 Sep 2026πŸ›‘οΈ Security

  72. ossf/criticality_score

    criticality_score is an OpenSSF tool that computes a 0-1 criticality score for open source projects (based on an algorithm by Rob Pike), using signals like contributor count, commit frequency, dependents count, and org diversity to identify projects the ecosystem critically depends on. It ships a CLI, config files for tuning scoring weights, and companion tools (enumerate_github, collect_signals, scorer) for large-scale data collection; the project's GCP-hosted BigQuery/GCS datasets will be discontinued after 2026-08-29, with data moving to a static data directory.

    github.comrepoAdded 21 Sep 2026πŸ›‘οΈ Security

  73. sno-ai/sno-station

    Sno Station is an open-source (Apache-2.0) local workstation that coordinates multiple AI agents (Claude Code, Codex, OpenClaw) as a 'Duo': they share an encrypted on-disk memory store, hand off tasks when one hits a rate limit, peer-review each other's work, and run a nightly self-improvement loop that proposes edits to their own skill files based on session history. It reports results on the Memora benchmark (FAMA/FAA metrics for forgetting-aware long-term memory) and cites Karpathy's 'LLM Wiki' and Google's WikiSkill as design inspirations.

    github.comrepoAdded 26 Sep 2026, published 19 Sep 2026🧠 AI

  74. coldteadotai/abide

    Abide is a CLI (npx @coldtea/abide) that hooks into Claude Code, Codex and OpenCode to check every agent edit or turn against project rules written in AGENTS.md/CLAUDE.md that a linter can't enforce (e.g. 'never let a raw error reach a user', 'no premature abstractions'). It uses Jev, TypeSafe's calibrated decision model, to answer a typed yes/no probability per rule per diff instead of a full LLM call, making it cheap (~300ms, fractions of a cent per turn) enough to check every edit; violations above a threshold are fed back to the agent to repair in the same turn.

    github.comrepoAdded 26 Sep 2026, published 18 Sep 2026🧠 AI

  75. Tongyi-MAI/Qwen-Planner-Agent

    Qwen-Planner-Agent is Alibaba's Tongyi MAI Team framework pairing a trained Planner Model with a stateful Harness to execute mobile tasks end-to-end, coordinating tools, persistent memory, reusable Skills, and sub-agents. It introduces Competence-Adaptive Reward-and-Advantage Engineering (CARE), a hybrid supervised+RL training approach, and reports the 27B model reaching 77.05% Overall on MobilePA-Bench at an estimated $2.41 per 1,000 tasks in output-token cost. This repo hosts the technical report/blog and recorded interactive examples rather than model weights or code.

    github.comrepoAdded 26 Sep 2026, published 18 Sep 2026🧠 AI

  76. OmniJev/awesome-jev-gallery

    An extensive, actively maintained GitHub "awesome list" cataloging the ecosystem that has grown around TypeSafe's Jev and its "System One" typed decision models β€” a non-generative alternative to chat LLMs that returns calibrated probabilities per option (Choice/Score/Noul primitives) via RLCD training and single-pass constrained decoding. It indexes dozens of open-weight reproductions (OneJev, Rizzo Flow, Laya, Jebadiah, kev), benchmarks and leaderboards (JevBench, Jev Decision Index, JevAdvBench, DecisionBench), downstream tools (browser/robot/trading agents built on the typed API), and the research lineage the design draws on (zero-shot entailment classifiers, InstructGPT's reward model, GLiNER/GLiClass, monoBERT, LLaDA, vLLM, DSPy, RouteLLM, Constitutional Classifiers). It also links commentary auditing TypeSafe's claims (accuracy vs. frontier LLM baselines, security issues found in community tools).

    github.comrepoAdded 29 Sep 2026, published 17 Sep 2026🧠 AI

  77. AnotiaWang/awesome-decision-models

    A community-maintained GitHub list cataloging "decision models" (also called System One models): small/fast models that take a state plus caller-declared questions (Noul/true-false, Choice/multi-option, Score/rubric) and return a probability per answer in one forward pass, rather than generating text. It tracks the originating TypeSafe AI Jev model and its /v1/systemone API alongside competing hosted models (Upstage Solar Decide, Liquid AI's d1, OpenAI's Decisions API, Inception's Mercury Decide, Respan's Span-01), dozens of open-weight fine-tunes (Cloudflare's Clef, Perplexity's pplx-decider, AWS Strands Decider, Together AI's Tev1, and many Qwen3.5-based community models), zero-training logit-reading approaches, local runtimes (Ollama, Ollaya, llama.cpp-based servers), SDKs across a dozen languages, and a very long list of agent/coding-tool/MCP integrations (browser agents, code review, routing, game-playing demos) that use these models for fast, typed, in-the-loop decisions. The page is truncated at 40k of ~51k characters, so later sections (further toys, demos, and possibly benchmarks) are not reflected here.

    github.comrepoAdded 2 Oct 2026, published 17 Sep 2026🧠 AI

  78. Copy Fail (CVE-2026-31431): 9-year-old Linux kernel LPE found by Theori's Xint Code

    A GitHub repository from Theori's Xint Code team detailing CVE-2026-31431, a Linux kernel local privilege escalation bug ("Copy Fail") that had gone undetected for roughly nine years. The researchers confirmed exploitability across current production kernels including Ubuntu 24.04 LTS (6.17.0-1007-aws), Amazon Linux 2023 (6.18.8-9.213.amzn2023), RHEL 10.1 (6.12.0-124.45.1.el10_1), and SUSE 16 (6.12.0-160000.9-default).

    github.comrepoAdded 17 Sep 2026πŸ›‘οΈ Security

  79. Mapika/decider

    Decider is an open reproduction of TypeSafe AI's System One (Jev) model class: instead of generating text, it reads a state plus a set of typed questions (Choice, Score, or Noul/yes-probability) and returns a calibrated probability distribution for each in one forward pass, with no decoding or parsing. The repo ships 2B/4B/12B and a 35B mixture-of-experts checkpoint (built on Qwen3.5 and Gemma-4 base models), trained on roughly 95 public datasets plus teacher-labelled data, with per-type temperature calibration, GGUF/llama.cpp and vLLM serving paths, an MPS/Apple Silicon port, and a community Snapdragon X Elite NPU port. It benchmarks against TypeSafe's Jev on JevBench and the Decision Index, documenting where it closes the gap (language, tools, retrieval) and where it lags (knowledge-heavy MMLU/GSM8K/GPQA tasks and calibration on hard items).

    github.comrepoAdded 2 Oct 2026, published 16 Sep 2026🧠 AI

  80. ruc-datalab/EvoOntology

    EvoOntology is an open-source, self-evolving semantic ontology layer for data agents from Renmin University of China, exposed as MCP tools and installable as Claude Code and Codex plugins. It automatically builds a versioned ontology from tabular/file/database workloads, then continuously evolves it from agent execution trajectories using a build-use-evolve-evaluate-publish loop that validates candidate updates against a parent version before promotion. The accompanying paper reports gains over plain ReAct agents on DDR-Bench, InsightBench, and BIRD across GPT-5.5, GPT-5.6-sol, Claude-Sonnet-5, and Claude-Opus-4.8 backbones.

    github.comrepoAdded 26 Sep 2026, published 15 Sep 2026🧠 AI

  81. OpenHunterAI

    OpenHunterAI is a self-hosted, alpha-stage AI red-teaming workspace that applies attacker-style reasoning to web, API, and LLM application security testing against verified, in-scope public targets. It runs locally via Docker/Node.js, orchestrates bounded testing (scope lock β†’ surface mapping β†’ baseline β†’ hypothesis testing β†’ evidence gating β†’ report/retest) through Go workers over NATS, and ships adapters for browser inspection, OWASP ZAP, and Nuclei, with separate OpenHack and Strix runtime integrations and an agent skill for Claude Code/Codex/Gemini CLI/Grok.

    github.comrepoAdded 22 Sep 2026, published 15 Sep 2026πŸ›‘οΈ Security

  82. Maskit

    Maskit is a local privacy gateway that sits between AI coding tools (Cursor, Claude Code, Codex, ChatGPT, Claude, DeepSeek) and the model provider, automatically redacting sensitive data β€” API keys, database connection strings, private IPs, PEM keys, JWTs, PII like phone numbers/ID numbers β€” into placeholders before requests leave the machine, then streams responses back with the placeholders transparently restored. It works as a local reverse proxy (per-protocol ports for OpenAI/Anthropic/DeepSeek) plus a browser extension (Chrome/Edge MV3) that intercepts Fetch/XHR traffic on ChatGPT, Claude and DeepSeek web UIs, including redaction of uploaded Office documents. It also includes a lightweight local ONNX NER model for names/orgs/addresses, placeholder consistency across multi-turn conversations, and passive prompt-injection detection on model replies.

    github.comrepoAdded 22 Sep 2026, published 15 Sep 2026πŸ›‘οΈ Security

  83. WordPress Security Skills

    WordPress-Security-Skills is a GitHub repo of modular 'Agent Skills' (per the open Agent Skills spec) that install into AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Gemini CLI to guide secure-by-default WordPress plugin/theme development and security code review. Each skill targets a documented failure mode in AI-generated WordPress code β€” missing nonce checks, broken authorization, missing output escaping, unprepared SQL queries β€” with when-to-use guidance, common AI mistakes (wrong vs right), code examples, and checklists tied to official WordPress API references. It is explicitly instructional Markdown/PHP reference material, not a scanner or automatic protection, meant for developers and reviewers auditing AI-written or third-party WordPress code.

    github.comrepoAdded 22 Sep 2026, published 15 Sep 2026πŸ›‘οΈ Security

  84. MassPIIFinder v2

    MassPIIFinder v2 is a Python recon tool that automates crawling a target's in-scope JavaScript (multi-hop HTML crawl, dynamic imports, chunk manifests, sourcemaps, plus optional passive CT-log subdomain discovery) and mines it for API keys, tokens, credentials, internal endpoints, and PII using ~90 named patterns plus a high-entropy freeform heuristic. Findings are validated offline (Luhn checks, JWT decode, AWS key-shape) and via scope-checked, rate-limited reachability probes, then triaged by severity and exported as JSON/HTML/SARIF/Markdown/CSV. It enforces authorization with a required --confirm-authorized flag and a ScopeGuard that blocks any out-of-scope requests, and explicitly avoids testing leaked keys against third-party providers or exploiting findings.

    github.comrepoAdded 22 Sep 2026, published 15 Sep 2026πŸ›‘οΈ Security

  85. Pal-AI-Lab/Cortico

    Cortico is an open-source agent harness built around an event stream, designed for autonomous, continuously running agents that handle mixed real-time input across chat platforms, live games, and even physical environments. It provides modular LLM provider components (via an internal Responses protocol), unconstrained context/memory management, an isolated extension system called Cortico World, and a WebUI, with a companion AI-assisted extension creator (Cortina) that lets non-developers build extensions through conversation. A reference use case is cortico-world-vtuber, which drives a Live2D model via VTube Studio with streaming TTS and OBS overlay integration.

    github.comrepoAdded 26 Sep 2026, published 13 Sep 2026🧠 AI

  86. RepoGuardBench

    RepoGuardBench is a benchmark and accompanying paper that measures whether local open-weight coding agents (Qwen2.5-Coder 1.5B-14B via Ollama) stay on the bug-fix task when repository artifacts β€” README files, issue text, code comments, test logs, and agent-rule files β€” carry inert prompt-injection instructions. It evaluates five lightweight context- and action-level defenses (D0-D5, including a path-only action gate) across seven metrics in a sandboxed task workspace, finding no statistically clear utility winner among them. The project ships a deterministic no-GPU smoke test, paper-claim verification scripts, and reproducible tables/figures under MIT (code) and CC BY 4.0 (data) licenses.

    github.comrepoAdded 22 Sep 2026, published 13 Sep 2026πŸ›‘οΈ Security

  87. CassiopeiaCode/CosyRedactGateway

    Cosy (CosyRedactGateway) is a Node.js gateway that sits between programmers' LLM clients and OpenAI or Anthropic APIs. It replaces credentials found in JSON request text with reversible SHA-256-based placeholders, using high-entropy scoring, structured detectors and Gitleaks-compatible rules, and restores them in responses, SSE streams and tool arguments. It runs on Cloudflare Workers, Deno or locally, and documents its limits: auth headers are still forwarded, and misses are possible.

    github.comrepoAdded 19 Oct 2026, published 11 Sep 2026πŸ›‘οΈ Security

  88. CassiopeiaCode/CosyRedactGateway

    Cosy (CosyRedactGateway) is a local-first LLM credential redaction gateway. It replaces secrets in request JSON with reversible SHA-256 placeholders before forwarding to OpenAI or Anthropic upstreams, then restores them in responses, SSE streams and tool-call arguments. Detectors cover high-entropy strings, structured patterns and Gitleaks-compatible rules. It runs on Node.js, Cloudflare Workers or Deno, with an offline demo script and a documented list of limits.

    github.comrepoAdded 19 Oct 2026, published 11 Sep 2026🧠 AI

  89. sage β€” Agent Detection & Response (ADR) for AI coding agents

    Sage is an "Agent Detection & Response" (ADR) security layer that intercepts tool calls made by AI coding agents β€” shell commands, URL fetches, file writes β€” and screens them through multiple detection layers before execution. It combines cloud URL reputation, 300+ YAML local heuristics, a two-tier (heuristic + fine-tuned ML) prompt-injection detector for fetched content, npm/PyPI package supply-chain checks (registry existence, file reputation, age), installed-plugin scanning at session start, and Windows AMSI integration. It ships as a plugin for Claude Code, Cursor, VS Code, OpenClaw, and OpenCode, and is published by Gen Digital (also distributed under the Norton/Avast Sage branding).

    github.comrepoAdded 10 Sep 2026πŸ›‘οΈ Security

  90. GhostJS

    GhostJS is an open-source Burp Suite extension by TrinetLayer that passively scans JavaScript, HTML, and JSON responses flowing through Burp for hardcoded secrets (AWS/GCP/Azure keys, Stripe/PayPal/GitHub tokens, JWTs, private keys, etc.) and hidden API endpoints, surfacing findings in a dedicated tab with severity, confidence scoring, remediation guidance, and Markdown export. It also actively fetches referenced <script> bundles using the tester's live session cookies and applies a false-positive filter to suppress doc-sample and placeholder keys, making it a practical recon aid during authorized web app pentests and bug bounty work.

    github.comrepoPublished and added 7 Sep 2026πŸ›‘οΈ Security

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