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github.comrepo🧠 AI

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.

ViZDoomZDoomACS+10
DoomformerDOOMFreedoom+6

research, inference· Added 30 Oct 2026, published 29 Oct 2026

github.comrepo🧠 AI

Show HN: Farol – A risk map of a pull request for the person who approves it

farol is a free, MIT-licensed CLI and GitHub Action that runs after an AI code review and gives the human approver a risk verdict (fast track, quick review, careful review) and a 0-100 score for a pull request. It uses the TypeScript type checker, go/types and Python ast to trace which pages, APIs and jobs a change reaches, and it adds diff coverage, security findings and contract breaks. It never executes or sends code.

GitHub ActionsTypeScriptGo+10
farolClaude CodeWinnin

coding-agents· Added 26 Oct 2026, published 25 Oct 2026

github.comrepo🧠 AI

alirezarezvani/claude-skills

claude-skills is an MIT-licensed library of about 398 Claude Code skills, agents, personas and plugins across 20 domains, including engineering, marketing, compliance and C-level advisory. Each skill is a SKILL.md with stdlib-only Python CLI tools and reference docs. Install scripts and convert.sh adapt it to Codex, Gemini CLI, Cursor, Aider, Windsurf and other coding agents, and it includes a skill-security-auditor scanner.

Claude CodeCodexGemini CLI+12
HermesMistralAnthropic+2

coding-agents, prompting, agents· Added 25 Oct 2026

github.comrepo🛡️ Security

alirezarezvani/claude-skills

claude-skills is an open-source MIT library of about 398 Claude Code skills, agents and plugins that also installs into Codex, Gemini CLI, Cursor and 9 other coding agents. The security-relevant parts are skill-security-auditor, a stdlib-only Python scanner that checks skills for command injection, data exfiltration, prompt injection and dependency supply-chain risks before install, plus a security-guidance PreToolUse hook, a security suite and compliance skills (ISO 27001, SOC 2, GDPR).

Claude CodeCodexGemini CLI+3
skill-security-auditorPreToolUse hookagentskills.io+3

AI Security, Supply Chain· Added 25 Oct 2026

github.comrepo🛡️ Security

Spectrmachina/Ztrust

ZTrust is a Python supply-chain scanner that checks manifests, lockfiles, source and GitHub workflows for vulnerable or malicious dependencies (via OSV.dev), typosquats, leaked secrets, unsafe lockfiles and risky CI patterns such as pwn requests and script injection. It outputs console, JSON and SARIF 2.1.0 and ships as a GitHub Action. It also includes a FastAPI bounty service using commit-reveal and shielded Zcash payouts for researchers.

PythonGitHub ActionsOSV+3
xz-utilstj-actions/changed-filesevent-stream+3

Supply Chain, DevSecOps· Added 27 Oct 2026, published 22 Oct 2026

x.comrepo🛡️ Security

Cyber Detective💙💛 (@cyb_detective) on X

Python Cybersecurity Libraries is a curated GitHub list by Yogsec, shared in a post by cyb_detective. It groups Python libraries by task: network analysis, penetration testing, threat intelligence, reverse engineering and malware analysis, forensics and investigation, web application security, CTF, and machine learning for security. The tweet shows only the category names, not the individual libraries.

PythonGitHub
Yogseccyb_detective

Offensive Security, Blue Team & Detection, Malware & RE· Added 24 Oct 2026, published 21 Oct 2026

x.comrepo🛡️ Security

☣ KitPloit - Hacker Tools (@KitPloit) on X

DidierStevensSuite is a collection of Python scripts for malware analysis, file format parsing, hashing and forensic triage. It includes utilities for analysing PDF and OLE documents and for XOR-obfuscated data. The post is a short KitPloit announcement that links to the repository and gives no usage detail.

Python
Didier Stevens

Malware & RE, Blue Team & Detection· Added 21 Oct 2026, published 20 Oct 2026

huggingface.corepo🧠 AI

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.

TransformersvLLMSGLang+5
DeepSeekDeepSeek-V4.1-FlashDeepSeek V4+3

models, inference· Added 18 Oct 2026, published 17 Oct 2026

github.comrepo🛡️ Security

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.

WordPressPython
CVE-2026-63030CVE-2026-60137SQL injection+1

AppSec, Offensive Security· Added 23 Oct 2026, published 15 Oct 2026

github.comrepo🧠 AI

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.

Pythonccxtuv+2
Bijective LabsBybitOKX+8

agents, ai-infra· Added 18 Oct 2026, published 13 Oct 2026

github.comrepo🧠 AI

BijectiveLabs/bitra

bitra (CLI name tra) is an MIT-licensed Python framework from Bijective Labs for autonomous trading agents. Language models only read system-computed figures and give opinions, while deterministic code prices the round trip, applies declared limits, sizes the trade and sends one order with stop attached. Every cycle's briefs, answers and refusals are stored on disk with hashes. It supports many model providers and ccxt venues, with sandbox, demo and mainnet tiers.

PythonPyPIuv+7
Bijective Labsgpt-oss-120bgpt-oss+7

agents, ai-infra· Added 25 Oct 2026, published 13 Oct 2026

github.comrepo🧠 AI

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.

PythonuvLangChain+17
Omar SantosPearsonO'Reilly+15

agents, llm-apps, mcp· Added 13 Oct 2026

github.comrepo🧠 AI

sepehr071/iran-mcp

iran-mcp is an open-source catalog of 39 MCP servers (488 tools) that let AI agents query Iranian websites such as Digikala, Torob, Divar, Snappfood, Jabama, Paziresh24, TSETMC and qavanin.ir, with prices normalised to Toman. Most servers are unofficial, read-only Python packages run with uvx; three are official hosted servers. It ships Claude Code plugins, Agent Skills, bundles, proxy lists and a machine-readable servers.json.

Model Context ProtocolPythonPyPI+11
DigikalaTorobDivar+10

mcp, coding-agents· Added 24 Oct 2026, published 11 Oct 2026

github.comrepo🛡️ Security

sakidekin/CVE-2026-41940-PoC

This repository hosts a proof-of-concept for CVE-2026-41940, described as a CVSS 10.0 unauthenticated authentication bypass in cPanel and WHM caused by CRLF injection into server-side session files via the Authorization header. The accompanying Python tool (cve.py) can detect vulnerable cPanel/WHM instances, retrieve system and account information, and perform post-exploitation actions such as running OS commands, changing the root password, and opening an interactive WHM shell. It also supports bulk scanning workflows piped from subfinder, httpx, and Shodan.

PythonShodan
CVE-2026-41940CRLF injectionauthentication bypass

Offensive Security· Added 23 Oct 2026, published 11 Oct 2026

github.comrepo🛡️ Security

target/strelka

Strelka is Target's open-source, container-based real-time file scanning system for threat hunting, threat detection, and incident response, built in Go and Python. It runs 50+ scanners (YARA, PE parsing, encrypted ZIP cracking, entropy analysis, etc.) to extract metadata and content from files at enterprise scale, which can feed a SIEM for alerting on suspicious artifacts like an Emotet-laden encrypted ZIP payload.

DockerGoPython+1
Laika BOSSEmotet

Blue Team & Detection· Added 8 Oct 2026

github.comrepo🧠 AI

Tracer-Cloud/opensre

OpenSRE is an open-source framework for building AI SRE agents that resolve production incidents by correlating logs, metrics, traces, deploys and runbooks across 60+ connected tools (observability, cloud infra, incident management, MCP). Beyond the agent runtime (CLI, Python API, Slack/PagerDuty/Telegram integrations), the project's stated mission is to build an RL training and evaluation environment — explicitly modeled on SWE-bench's role for coding agents — to scale realistic infrastructure-failure scenarios as a benchmark for AI SRE.

DockerPythonPostgreSQL+3
OpenSRETracer-CloudSWE-bench

agents, evals, ai-infra· Added 8 Oct 2026

github.comrepo🧠 AI

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.

Model Context ProtocolPythonDeepSeek+2
nanoMuseMetaDeepSeek Harness+13

agents· Published and added 7 Oct 2026

vulnerablemcp.inforepo🛡️ Security

The Vulnerable MCP Project — MCP vulnerability database

The Vulnerable MCP Project is a curated, continuously growing database of security vulnerabilities and attack techniques specific to the Model Context Protocol ecosystem. Entries cover concrete CVEs (e.g. CVE-2025-68143/68144/68145 in Anthropic's mcp-server-git), transport-layer SDK flaws (cross-client response leakage, missing DNS rebinding protection in the official TypeScript/Python SDKs), unauthenticated/0.0.0.0-bound servers enabling RCE (MCPJam inspector, MCP Inspector, Grafana MCP), command/path injection in dozens of third-party servers (gemini-mcp-tool, mcp-server-kubernetes, Framelink Figma MCP, Zen MCP, filesystem-mcp), SSRF chains reaching cloud metadata (MarkItDown MCP, mcp-fetch-server), and a large set of AI-specific attacks: tool poisoning, trigger-phrase data exfiltration, prompt injection via GitHub issues, Jira and Google Docs, rug-pull tool mutation, and cross-server tool-name collisions. It functions as the de facto vulnerability registry for the MCP ecosystem, useful for tracking disclosed issues before patching or adopting third-party MCP servers.

Model Context ProtocolCursorKubernetes+3
CVE-2025-68143CVE-2025-68144CVE-2025-68145+3

AI Security, AppSec· Added 6 Oct 2026

github.comrepo🧠 AI

Microsoft Agent Framework python-1.20.0 release

Release notes for python-1.20.0 of Microsoft's Agent Framework, an open-source agent/workflow orchestration library. This release adds native vector-store connectors for DuckDB, SQL Server and MongoDB plus a TypeSafe AI connector, redesigns Foundry hosting around request-scoped agent factories and sandbox-isolated sessions, adds computer-use support to Responses clients, and ships Magentic manager and handoff-routing improvements for multi-agent orchestrations alongside a large batch of MCP, Bedrock, Gemini, Anthropic and Ollama provider fixes.

Model Context ProtocolPythonDocker+7
MicrosoftMicrosoft Agent FrameworkDuckDB+4

agents· Added 6 Oct 2026

github.comrepo🛡️ Security

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.

GhidraSemgrepLiteLLM+2
BYOVDLOLDrivers

Offensive Security, Malware & RE, AI Security· Added 3 Oct 2026

github.comrepo🧠 AI

Jakeschincariol/replica-skill

replica-skill is an MIT-licensed set of eleven Claude skills that run an app-cloning pipeline: recon, architect, design, build, backend, test, diff, entrepreneur, brand, launch and deploy. Six standard-library Python tools handle image diffing, parity scoring, review ranking, contrast checks, rebrand sweeps and store-listing lint. It installs as a Claude Code plugin or by copying folders, and states clean-room and rebranding limits.

Claude CodeClaudePython+5
Jake SchincariolAnthropic

coding-agents, prompting· Added 29 Oct 2026, published 3 Oct 2026

github.comrepo🧠 AI

Show HN: Made an open-source Lego AI generator

ldraw-nova is an open-source agentic pipeline where an LLM agent (tested with models like Claude Opus 5.5 and GPT-6 Astra) takes a build prompt, reads LDraw-building instructions, and produces a plan.json describing a model's geometry. From that plan it writes a Python generator script that, when executed, outputs an LDraw (.mpd) 3D CAD source file, viewable in 3D/VR (Meta Quest 3) or exportable to Blender-editable glTF. The agent uses jev-rerank, a semantic search tool with reranking backed by TypeSafe's Jev System One model, to find suitable LEGO parts and example models, falling back to full-text search without an API key; it also uses headless rendering and collision/gap detection to self-inspect and iterate on designs.

DockerPythonBlender+2
TypeSafeJev System Onejev-rerank+13

agents, multimodal· Added 3 Oct 2026, published 2 Oct 2026

github.comrepo🧠 AI

Microsoft Agent Framework — 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.

PythonModel Context ProtocolMongoDB+10
MicrosoftTypeSafe AIMistral+1

agents, mcp· Added 2 Oct 2026

huggingface.corepo🧠 AI

Kyutai Pocket TTS

Pocket TTS is a 100M-parameter text-to-speech model from Kyutai designed to run efficiently on CPU, generating audio faster than real-time (~6x on a MacBook Air M4) with ~200ms latency to first audio chunk and voice cloning from short audio samples. It supports English, French, German, Portuguese, Italian, and Spanish, ships a Python library and CLI, and has spawned numerous community ports (WASM, ONNX, Rust/Candle, MLX, C++, C#) and fine-tuned language variants (Czech, Hindi, Korean, Persian, Indonesian, Estonian, Welsh, Polish).

PyTorchPythonHugging Face+6
KyutaiManu OrsiniSimon Rouard+4

models, multimodal· Added 2 Oct 2026

github.comrepo🧠 AI

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.

Qwen3-VLvision-language modelPython+3
QwenCharXivNSGA-II

research, multimodal, evals· Added 16 Oct 2026, published 2 Oct 2026

github.comrepo🧠 AI

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.

Model Context ProtocolPlaywrightPython+4
GitHub

mcp, agents· Added 7 Oct 2026, published 29 Sep 2026

github.comrepo🛡️ Security

garak v0.17.0 — LLM vulnerability scanner release

Release notes for garak v0.17.0, NVIDIA's open-source LLM vulnerability scanner used for red-teaming and probing models for jailbreaks, prompt injection, data leakage and other failure modes. The release adds an EU AI Act risk-category mapping to tag and group probe results, plus fixes to detectors (agent_breaker judge verdict validation, packagehallucination import parsing, MarkdownExfilContent divide-by-zero, TriggerListDetector alignment) and probes (badchars ASCII selection, Markdown exfiltration link templates), along with Ollama generator improvements and dropped Python 3.10 support in favor of 3.13.

OllamaPython
EU AI ActAgentBreakerIntentProbe+2

AI Security· Added 29 Sep 2026

github.comrepo🧠 AI

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.

Claude CodeCodexCursor+6
SquadraSentrymemoranda

agents, coding-agents· Added 27 Oct 2026, published 28 Sep 2026

github.comrepo🛡️ Security

SpecterOps/Blacklight — 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 — surfacing config, auth metadata, and high-value indicators — while explicitly leaving secret scanning to external tooling; paths are informed by SpecterOps' Endpoint AI Agent Abuse (EAA) technique catalog.

Claude CodeCodexCursor+3
Endpoint AI Agent Abuse (EAA) technique catalog

Blue Team & Detection, AI Security· Added 27 Sep 2026

github.comrepo🛡️ Security

garak v0.17.0 — adds EU AI Act risk-category mapping

garak is NVIDIA's open-source LLM vulnerability scanner that runs probes/detectors for jailbreaks, prompt injection, PII leakage, package hallucination, markdown exfiltration and more against LLM targets. This v0.17.0 release adds a new EU AI Act risk-category mapping to tag and group probe results by the Act's risk categories, alongside fixes to the agent_breaker judge, markdown-exfiltration detectors, Ollama auth/generation support, and dropped Python 3.10 in favor of 3.13 support.

garakOllamaAWS Bedrock+2
EU AI Act

AI Security· Added 26 Sep 2026

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