Skip to content

73 results for “TPU”

ListGrid
What you seeeverything
RecentOldestAddedA–Z
All types367Articles114Papers102Repos73Write-ups39Threads17
Advisories7Tools6Other4Talks3Courses1Videos1
📦 Repos“TPU”Clear all
github.comrepo🧠 AI

Show HN: A language model that lives in a boot sector

bootgpt is a char-level language model that runs from a BIOS boot sector. A 512-byte hand-written asm MBR loads an 11.5 KB int8 model from 23 following sectors and runs it in 16-bit real mode on a 386, generating fake Linux dmesg boot logs. train.py quantises to int8 with power-of-two scales, and its integer simulation matches the asm output char for char.

x86 assemblyNASMQEMU+4
sectorllmsectorlisp-nnOscar Toledo+3

inference, models, training· Added 1 Nov 2026, published 31 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🧠 AI

Sadra Majidi (@SadraMajidi04) on X

Impeccable is an open-source skill for AI coding agents that steers them away from generic UI output such as purple gradients and nested cards. It provides 24 commands (critique, audit, polish, typeset) and 61 detector rules that run without an LLM. It works with Claude Code, Cursor and Codex, and the repo is pbakaus/impeccable on GitHub. The source is a short tweet and gives no further detail.

Claude CodeCursorCodex+1
Impeccable

coding-agents, prompting· Added 23 Oct 2026, published 22 Oct 2026

github.comrepo🧠 AI

OpenAI CLI

OpenAI CLI is OpenAI's official Go command-line client for the REST API. It lets users generate images, upload and download files, create and wait on batches, call the Responses API, and query admin usage endpoints from a terminal or shell script. It supports JSON, JSONL and YAML output, GJSON transforms, shell completion, and install via Homebrew, go install or release binaries.

OpenAI APIGoHomebrew+3
OpenAIGPT-5.5

ai-infra, llm-apps· Added 23 Oct 2026, published 22 Oct 2026

github.comrepo🧠 AI

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.

DeepInferFlashMLADeepGEMM+13
DeepSeekDeepSeek-V4.1-FlashNVIDIA

inference· 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🧠 AI

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.

SwiftmacOSClaude Code+6
bigarrowNameplatePeter Steinberger+2

coding-agents, prompting, agents· Published and added 9 Oct 2026

github.comrepo🧠 AI

microsoft/mxc

MXC is Microsoft's cross-platform sandboxed code execution system for running untrusted workloads — model output, plugins, and tool calls — 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.

Rust.NETNode.js+1
Microsoft

ai-infra· Added 8 Oct 2026

github.comrepo🛡️ Security

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.

WindowsLinuxmacOS+3

AI Security, Offensive Security· Added 8 Oct 2026

github.comrepo🛡️ Security

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.

DockerYARA
XMRig

Blue Team & Detection, DevSecOps, Malware & RE· Added 8 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🛡️ Security

NuvexNetwork/nuvex

Nuvex is a Solana-native verifiable compute and oracle protocol, still pre-mainnet, whose own README documents unresolved security gaps instead of hiding them: its VRF proof verification relies on solana-ecvrf 0.0.1 (RFC 9381 ECVRF-Edwards25519-SHA512-TAI) which has no known audit, max_fee is stored but never actually charged, and VRF fulfillment is first-come among any node meeting the configured stake/heartbeat threshold — meaning an operator who funds several keys at a low minimum stake can selectively pick which randomness output gets used. The deploy-mainnet script is stubbed to exit before any transaction, and unresolved design questions (fee shares, challenge/reject state transitions) are tracked as explicitly blocked ADRs rather than quietly shipped.

SolanaRust
solana-ecvrfRFC 9381ECVRF-EDWARDS25519-SHA512-TAI

Blockchain· Published and added 2 Oct 2026

x.comrepo🛡️ Security

Andrea (Drego) Draghetti 👨🏻‍💻 🎣 (@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.

TelegramTosint
Andrea Draghetti

OSINT· Added 2 Oct 2026, published 30 Sep 2026

github.comrepo🛡️ Security

Agent Threat Rules (ATR) — open detection-rule standard for AI agent threats

Agent Threat Rules (ATR) is an open, versioned YAML rule format (ATR-YYYY-NNNNN scheme) for detecting AI-agent runtime threats — prompt injection, tool-poisoning, malicious SKILL.md content, and MCP exchange abuse — evaluated by a reference TypeScript engine (with a Python wrapper) shipped as an npm/pip package, CLI, GitHub Action, and Docker scanner with SARIF output. The project positions itself as "Sigma for agent threats," maps rules to OWASP Agentic/LLM Top 10, MITRE ATLAS, and NIST AI RMF, and publishes an extensive (and unusually self-critical) benchmark suite against corpora like garak, PromptBench, and PromptInject, including documented harness bugs and withdrawn recall figures.

Model Context ProtocolnpmTypeScript+3
CVE-2026-26030CVE-2026-25592OWASP Top 10 for Agentic Applications+2

AI Security· Added 26 Sep 2026

github.comrepo🛡️ Security

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.

Model Context ProtocolClaude DesktopCursor+7
OWASP MCP Top 10

AI Security, DevSecOps· Published and added 26 Sep 2026

github.comrepo🛡️ Security

git-pkgs — dependency history & supply-chain analysis for git repos

git-pkgs is a Go rewrite of a Ruby tool that adds a git subcommand for tracking dependency changes across a repository's history, indexing manifests/lockfiles from 36+ package managers (npm, RubyGems, Cargo, PyPI, Maven, Composer, Go modules, etc.) into a local SQLite database. Beyond history/blame/diff, it offers supply-chain security commands: `vulns` (OSV-based CVE scanning with SARIF output for GitHub code scanning, plus blame/praise/exposure for remediation metrics), `licenses` (with drift detection and CI-friendly exit codes), `deprecated`, `provenance` (trusted-publishing/attestation checks), `integrity` (lockfile hash drift detection), `maintainers`/`health` (via ecosyste.ms metadata), and `sbom` export in CycloneDX/SPDX. It also supports a dependency-aware `bisect` to find when a vulnerability, license change, or capability (e.g. network access) was introduced, and ships GitHub Actions for CI integration.

npmSBOMOSV+3
CVE-2024-1234PURL

Supply Chain, DevSecOps· Added 25 Sep 2026

github.comrepo🛡️ Security

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.

npmPyPIComposer+3
Shai-Huludgh-token-monitorkitty-monitor

Supply Chain, DevSecOps· Added 23 Sep 2026

github.comrepo🛡️ Security

StellarFoundry/soroban-security-scanner

soroban-scan is an open-source, deterministic static analyzer for Stellar Soroban smart contracts and Rust projects. It ships 19 Soroban-aware detectors (SS-001 to SS-033) covering missing authorization, re-initialization, cross-contract call ordering, unchecked arithmetic and storage or resource misuse. Output includes JSON, SARIF 2.1.0 and GitHub annotations, with baselines and a PR-scanning Action. The project describes itself as early development.

SorobanStellarRust+2

AppSec· Added 28 Oct 2026, published 21 Sep 2026

github.comrepo🛡️ Security

Outrider Recon

Outrider Recon is an open-source, Claude-native multi-agent OSINT and external attack-surface recon platform for authorized engagements, covering web/API, identity/SSO, cloud, secrets, and people/breach intelligence. It deliberately stops short of exploitation: active enumeration is approval-gated and intrusive validation is a human hand-off, with deterministic Python controls enforcing scope, evidence integrity, workflow state, and finding promotion around Claude skills and optional MCP-based enrichment. Output is ranked, evidence-backed finding cards (confidence/severity/handoff recommendations) meant to feed proxy-assisted testing or pen-testing rather than raw scanner dumps.

ClaudeClaude CodeModel Context Protocol+2
elementalsouls/Claude-OSINTSnailSploit/offensive-checklist

OSINT, Offensive Security, AI Security· Added 22 Sep 2026, published 19 Sep 2026

github.comrepo🧠 AI

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.

Qwen-Planner-AgentTongyi MAI TeamAlibaba Group+2

agents, training· Added 26 Sep 2026, published 18 Sep 2026

github.comrepo🧠 AI

Oldcircle/geo-sleuth

geo-sleuth is an open-source Agent Skill that lets any tool-using agent (Claude Code, Codex, Cursor, Gemini CLI, OpenCode, GitHub Copilot) geolocate a photo without relying on text, license plates or landmarks, instead using OpenStreetMap geometry, elevation data, satellite tiles and street view. It structures the task as a scored candidate board with ~20 single-purpose Python scripts (sun/terrain/osm/pose analysis, CLIP-ranked satellite matching, DINOv2+SIFT street-view matching) that do the ranking, while the LLM only judges among top candidates and must cite the command/file behind every claim. Output includes coordinates with an error radius, camera heading, and an evidence image.

Claude CodeCodexCursor+4
OldcircleOpenStreetMapDINOv2+2

coding-agents, prompting· Added 26 Sep 2026, published 18 Sep 2026

github.comrepo🛡️ Security

Shai-Hulud-2.0-Detector — npm supply-chain compromise scanner

Shai-Hulud-2.0-Detector is a GitHub Action and CLI tool that scans package.json/lockfiles for packages compromised in the Shai-Hulud 2.0 (Nov 2025) and ChainDrop (Aug 2026) npm supply-chain worms. It uses semver-precise matching against a database of 1,241+ known-compromised package versions (auto-updated daily from Datadog and Wiz Research feeds) to flag malicious preinstall/postinstall droppers (setup_bun.js, Math_Symbol.js), rogue GitHub self-hosted runners named SHA1HULUD, and ChainDrop's new IDE-persistence hooks in .claude/settings.json and .vscode/tasks.json. It ships SARIF output for GitHub Security tab integration, an allowlist system, and a detailed incident-response guide covering credential rotation and forensic checks.

npmGitHub ActionsBun+3
Shai-Hulud 2.0ChainDropkeyv+6

Supply Chain, DevSecOps, Blue Team & Detection· Added 16 Sep 2026

github.comrepo🛡️ Security

y0usaf/pi-jev

pi-jev is an npm extension (@y0usaf/pi-jev) that adds a typed decision layer to the Pi coding agent: a gate scores pending bash/write/edit tool calls on destructiveness, exfiltration risk, scope, and impact before they run, while an output judge scans bash results for leaked secrets and classifies command failures (retry/environment/code_bug/permission/user_error). Answers come back as probabilities or choice distributions rather than prose, are batched into one API round trip to api.typesafe.ai, cached per input, and fail open on any error so a dead endpoint never blocks the agent. The README documents calibration work behind the thresholds (e.g. destructive=0.90, leak=0.90) derived from repeated fixture runs, and details argument/output truncation and key redaction to limit what leaves the machine.

npmTypeScriptNode.js
TypeSafe

AI Security· Added 26 Sep 2026, published 16 Sep 2026

github.comrepo🧠 AI

y0usaf/pi-jev

pi-jev is a decision-layer extension for the Pi coding agent that asks a separate model (Jev/TypeSafe) typed yes/no, choice, or score questions about pending tool calls and their outputs, returning probabilities and confidence scores instead of prose. It gates bash/write/edit calls for destructive, exfiltration, and out-of-scope risk, judges bash output for leaked secrets and failure classification, and exposes a jev_ask tool for the model to request the same structured judgements itself. The README documents empirically calibrated thresholds (e.g. destructive=0.90, leak=0.90) derived from repeated test runs rather than arbitrary defaults.

Node.jsTypeScript
PiTypeSafeJev

coding-agents· Added 26 Sep 2026, published 16 Sep 2026

github.comrepo🛡️ Security

Cloudflare security-audit-skill

security-audit-skill is a Cloudflare open-source coding-agent skill that turns an AI coding agent into a structured vulnerability hunter, running six phases: reconnaissance into architecture.md/coverage-ledger.json, coverage-led hunting by isolated sub-agent "hunters," adversarial candidate validation, structured findings.json output validated against a report-schema.json, independent re-verification of claims, and target-neutral report generation (REPORT.md, FINDINGS-DETAIL.md, NEEDS-VALIDATION.md). It is installed via the Skills CLI (`npx skills add`), uses Node.js validators (validate-coverage-ledger.cjs, validate-findings.cjs), requires a sandboxed environment for safely executing target code/tests/fuzzers, and is the single-repo seed for Cloudflare's larger fleet-wide vulnerability discovery harness described in a companion blog post.

Claude CodeNode.jsCloudflare

AppSec, AI Security· Added 22 Sep 2026, published 15 Sep 2026

github.comrepo🛡️ Security

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 — missing nonce checks, broken authorization, missing output escaping, unprepared SQL queries — 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.

WordPressPHPClaude Code+3
Agent Skills specification

AppSec· Added 22 Sep 2026, published 15 Sep 2026

github.comrepo🛡️ Security

AWSHound — AWS BloodHound OpenGraph Collector

AWSHound is a Go CLI/container tool that collects AWS IAM and authorization data across profiles, config-file opt-ins, or an entire AWS Organization (via cross-account role assumption), and outputs a BloodHound OpenGraph for attack-path analysis. It supports phased collection with on-disk artifacts, offline graph building from previously collected data, and safeguards like --max-api-requests and --max-api-requests-per-minute to bound AWS API traffic during collection.

AWSAWS IAMBloodHound+2

Cloud & Infra, Offensive Security· Added 8 Sep 2026

github.comrepo🧠 AI

headroomlabs-ai/headroom

Headroom is an open-source (Apache 2.0) local compression layer that sits between AI agents and LLM providers, compressing tool outputs, logs, RAG chunks, files and conversation history before they reach the model. It offers a Python/TypeScript library, a drop-in proxy, an `headroom wrap` mode for popular coding agents (Claude Code, Codex, Cursor, Copilot, Aider, etc.), an MCP server, cross-agent shared memory with dedup, and output-token reduction via verbosity steering and effort routing — all running locally with reversible compression (CCR) so originals stay retrievable.

Model Context ProtocolClaude CodeCodex+6
HeadroomKompress-v2-baseSerena+3

ai-infra, coding-agents, mcp· Added 23 Sep 2026, published 7 Sep 2026

github.comrepo🛡️ Security

ForgeGuardian

ForgeGuardian is an open-source (Apache 2.0) supply chain security scanner covering 9 package ecosystems (npm, PyPI, Go, Maven, RubyGems, Cargo, NuGet, Hugging Face, GitHub Actions) via 8 concurrent scan engines and 223+ built-in malicious-package detection signatures. It runs fully offline/local-first, offers a CLI (fgctl) and self-hosted SOC-style dashboard, generates CycloneDX/SPDX SBOMs, supports Sigstore keyless signing and provenance tracking, policy-as-code rules, dependency topology/attack-surface mapping, drift detection with auto-quarantine, and SARIF output for GitHub Actions CI integration, plus optional AI-powered advisory/patch-agent triage.

npmPyPIGo+3

Supply Chain, DevSecOps· Published and added 5 Sep 2026

github.comrepo🛡️ Security

OWASP OASIS

OWASP OASIS is a proposed community project that operationalizes turning automated vulnerability/fix-generation tool output into human-validated pull requests submitted upstream to open source projects. It defines a full lifecycle (intake, weighted validator review with accept/reject/modify/duplicate decisions, OWASP adoption, ephemeral working forks, upstream submission) plus roles (project owners, validators, maintainer liaisons, automation operators) and outcome metrics like upstream acceptance rate. The GitHub repo lays out governance via a validators.yml credibility file, CODEOWNERS-gated scoring, and GitHub Projects/issue templates to run the whole thing without custom tooling.

GitHubGitHub Actions
OWASP

AppSec· Published and added 5 Sep 2026

Showing 30 of 73

Show more