awesome-ai-security

A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers.

If you find that some links are not working, you can simply replace the username with gmh5225.
Or you can send an issue for me.

Show respect to all the projects below, perfect works of art :saluting_face:

How to contribute?

• https://github.com/HyunCafe/contribute-practice
• https://docs.github.com/en/get-started/quickstart/contributing-to-projects

Skills for AI Agents

This repository provides skills that can be used with AI agents and coding assistants such as Cursor, OpenClaw, Claude Code, Codex CLI, and other compatible tools. Install skills to get specialized knowledge about game security topics.

• https://github.com/vercel-labs/skills [The open agent skills tool - npx skills]

View on learn-skills.dev

Installation:

npx skills add https://github.com/gmh5225/awesome-ai-security --skill <skill-name>

Available Skills:

Example:

# Install LLM attacks skill
npx skills add https://github.com/gmh5225/awesome-ai-security --skill llm-attacks-security

# Install multiple skills
npx skills add https://github.com/gmh5225/awesome-ai-security --skill adversarial-machine-learning
npx skills add https://github.com/gmh5225/awesome-ai-security --skill ai-powered-pentesting

AI Security Starter Pack

• CTFs / Practice

  • https://github.com/verialabs/ctf-agent [ctf-agent - autonomous CTFd solver: coordinator LLM + parallel model swarms in Docker; BSidesSF 2026 1st]
  • https://aivillage.org/ [AI Village @ DEF CON - LLM Jailbreak Challenges]
  • https://doublespeak.chat/#/handbook [Doublespeak - AI Security Challenges]
  • https://github.com/EasyJailbreak/EasyJailbreak [Framework for adversarial jailbreak prompts]
  • https://github.com/microsoft/AI-Red-Teaming-Playground-Labs [Microsoft AI Red Teaming Playground Labs]
  • https://github.com/schwartz1375/genai-security-training [GenAI Red Teaming Training]

• Blogs / Resources

  • https://genai.owasp.org/ [OWASP GenAI Security Project]
  • https://llm-stats.com [LLM Leaderboard]
  • https://www.aidaily.win [AI Daily News]
  • https://baoyu.io/blog/how-to-write-good-prompt [How to Write Good Prompts]
  • https://rootissh.in/ [LLM Pentesting Series Blog]

• Newsletters / Collections

  • https://mlsecops.com/podcast [MLSecOps Podcast]
  • https://podcasts.apple.com/ph/podcast/the-genai-security-podcast/id1782916580 [GenAI Security Podcast]
  • https://avidml.org/ [AI Vulnerability Database (AVID)]

• Certifications / Courses

  • https://cs229.stanford.edu/ [Stanford CS229: Machine Learning]
  • https://course.fast.ai/ [fast.ai Practical Deep Learning]
  • https://www.coursera.org/specializations/deep-learning [Deep Learning Specialization by Andrew Ng]
  • https://huggingface.co/reasoning-course [Build DeepSeek-R1 like Reasoning Model]

AI/LLM Guide

• Foundations

  • https://d2l.ai/ [Dive into Deep Learning - Interactive book with PyTorch/JAX/TensorFlow]
  • http://neuralnetworksanddeeplearning.com/ [Neural Networks and Deep Learning by Michael Nielsen]
  • https://www.deeplearningbook.org/ [Deep Learning by Goodfellow, Bengio, Courville]
  • https://github.com/karminski/one-small-step [AI/LLM Tutorial]
  • https://github.com/datawhalechina/happy-llm [LLM Principles and Practice Tutorial]
  • https://github.com/rasbt/LLMs-from-scratch [Build LLM from Scratch]
  • https://github.com/naklecha/llama3-from-scratch [LLaMA3 from Scratch]
  • https://github.com/ZJU-LLMs/Foundations-of-LLMs [Foundations of LLMs]

• Awesome Lists

  • https://github.com/WangRongsheng/awesome-LLM-resourses [Comprehensive LLM Resources]
  • https://github.com/mahseema/awesome-ai-tools [Awesome AI Tools]
  • https://github.com/Shubhamsaboo/awesome-llm-apps [Awesome LLM Apps]
  • https://github.com/punkpeye/awesome-mcp-servers [Awesome MCP Servers]
  • https://github.com/wong2/awesome-mcp-servers [Awesome MCP Servers]
  • https://github.com/deepseek-ai/awesome-deepseek-integration [Awesome DeepSeek Integration]
  • https://github.com/lmmlzn/Awesome-LLMs-Datasets [Awesome LLMs Datasets]

• From-scratch LLMs / Reasoning

  • https://github.com/rasbt/LLMs-from-scratch/tree/main/ch05/11_qwen3 [Qwen3 From Scratch - Chinese walkthrough]
  • https://github.com/rasbt/LLMs-from-scratch/blob/main/ch05/11_qwen3/standalone-qwen3-moe-plus-kvcache.ipynb [Implement Qwen3 MoE with KV cache from scratch]
  • https://github.com/rasbt/LLMs-from-scratch/tree/main/ch05/12_gemma3 [Build Gemma 3 270M from scratch]
  • https://github.com/rasbt/reasoning-from-scratch [Reasoning models from scratch]
  • https://github.com/mingyin0312/RLFromScratch [Reinforcement learning from scratch (Chinese tutorial)]
  • https://github.com/karpathy/nanochat [End-to-end nanochat training loop in ~8K lines]

AI Security & Attacks

Prompt Injection

• https://www.lakera.ai/blog/guide-to-prompt-injection [Prompt Injection Guide]
• https://genai.owasp.org/llmrisk/llm01-prompt-injection/ [OWASP LLM01:2025 Prompt Injection]
• https://redbotsecurity.com/prompt-injection-attacks-ai-security-2025/ [Prompt Injection Attacks 2025]
• https://github.com/protectai/rebuff [Self-hardening Prompt Injection Detector]
• https://github.com/NVIDIA/garak [NVIDIA LLM Vulnerability Scanner]
• https://github.com/deadbits/vigil-llm [Detects Prompt Injections and Risky Inputs]
• https://github.com/alphasecio/prompt-guard [Prompt Defense for LLM]
• https://github.com/tml-epfl/llm-adaptive-attacks [Adaptive Attacks on LLMs]
• https://github.com/RomiconEZ/llamator [LLM Vulnerability Testing Framework]

Adversarial Attacks

• https://gradientscience.org/intro_adversarial/ [Introduction to Adversarial Examples]
• https://cset.georgetown.edu/publication/key-concepts-in-ai-safety-robustness-and-adversarial-examples/ [AI Safety and Adversarial Examples]
• https://github.com/Trusted-AI/adversarial-robustness-toolbox [IBM Adversarial Robustness Toolbox]
• https://github.com/QData/TextAttack [Adversarial Attacks on NLP Models]
• https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-2e2025.pdf [NIST Adversarial ML Taxonomy]
• https://llm-vulnerability.github.io/ [ACL 2024 Tutorial: LLM Vulnerabilities]
• https://github.com/tensorflow/cleverhans [CleverHans - ML Vulnerability Benchmark]
• https://github.com/bethgelab/foolbox [Foolbox - Adversarial Examples Toolbox]
• https://github.com/cchio/deep-pwning [Deep-pwning]

Poisoning & Backdoors

• https://arxiv.org/abs/2009.02276 [Witches' Brew: Industrial Scale Data Poisoning]
• https://arxiv.org/abs/2402.09179 [Instruction Backdoor Attacks on Customized LLMs]
• https://arxiv.org/abs/2510.07192 [Poisoning Attacks Need Only a Few Points]
• https://arxiv.org/abs/1910.03137 [MNTD: Detecting AI Trojans]
• https://owasp.org/www-project-top-10-for-large-language-model-applications/ [OWASP Top 10 for LLM Applications 2025]
• https://github.com/git-disl/awesome_LLM-harmful-fine-tuning-papers [LLM Harmful Fine-tuning Papers]

Privacy & Extraction

• https://www.usenix.org/conference/usenixsecurity21/presentation/carlini-extracting [Extracting Training Data from LLMs]
• https://arxiv.org/abs/2309.10544 [Model Leeching: Extraction Attack on LLMs]
• https://arxiv.org/abs/2301.10226 [Watermark for Large Language Models]
• https://arxiv.org/abs/2103.07853 [Membership Inference Attacks Survey]
• https://arxiv.org/abs/2503.19338 [MIAs on Large-Scale Models Survey]
• https://trustllmbenchmark.github.io/TrustLLM-Website/ [TrustLLM Benchmark]
• https://github.com/stratosphereips/awesome-ml-privacy-attacks [Awesome ML Privacy Attacks]
• https://github.com/chawins/llm-sp [LLM Security Papers]
• https://github.com/journey-ad/gemini-watermark-remover [Client-side Gemini AI image watermark remover - Reverse Alpha Blending]

Model Security

• https://arxiv.org/html/2507.02737v1 [Steganography Capabilities in Frontier LLMs]
• https://jplhughes.github.io/bon-jailbreaking/ [AI Jailbreaking]
• https://github.com/Goochbeater/Spiritual-Spell-Red-Teaming [A repo for jailbreaking various LLMs, mainly Claude]
• https://huggingface.co/blog/mlabonne/abliteration [Model Abliteration]
• https://github.com/p-e-w/heretic [Heretic - fully automatic censorship removal for LLMs, abliteration + Optuna TPE optimizer, dense/MoE/multimodal]
• https://github.com/FailSpy/abliterator [abliterator - Python library to ablate refusal/features in LLMs, TransformerLens, cache activations, refusal direction]
• https://github.com/spkgyk/abliteration [Abliteration - uncensor LLMs via refusal-vector removal, PyTorch hooks, no TransformerLens]
• https://github.com/jim-plus/llm-abliteration [llm-abliteration - make abliterated models with Transformers, batch inference, dense/MoE, norm-preserving biprojected, low VRAM]
• https://github.com/Tsadoq/ErisForge [ErisForge - dead simple LLM abliteration, transform internal layers, AblationDecoderLayer/AdditionDecoderLayer, ExpressionRefusalScorer]
• https://github.com/protectai/llm-guard [LLM Guard - Security Tool]
• https://github.com/protectai/modelscan [ModelScan - Scan Models for Unsafe Code]
• https://github.com/fr0gger/nova-framework [Nova Framework - Jailbreak Detection]
• https://github.com/fr0gger/nova_mcp [Nova MCP Server]
• https://github.com/0xAIDR/AIDR-Bastion [GenAI Protection System]
• https://github.com/CAU-ISS-Lab/AIGT-Detection-Evade-Detection [AI-Generated Text Detection & Evasion]
• https://github.com/AUGMXNT/deccp [deccp - Evaluating and unaligning Chinese LLM censorship, abliteration PoC for Qwen2]
• https://github.com/gpiat/AIAE-AbliterationBench [AbliterationBench - benchmark model resilience to residual stream/abliteration attacks]

AI Pentesting & Red Teaming

AI-Powered Pentesting

• https://github.com/GreyDGL/PentestGPT [GPT-4 Powered Pentesting Agent]
• https://github.com/zakirkun/guardian-cli [AI-Powered Pentesting CLI with Gemini]
• https://github.com/usestrix/strix [AI Security Pentesting]
• https://github.com/aliasrobotics/cai [CAI - Cybersecurity AI Framework]
• https://github.com/promptfoo/promptfoo [AI Agent Pentesting Framework]
• https://github.com/antoninoLorenzo/AI-OPS [AI Assistant for Penetration Testing]
• https://github.com/yz9yt/BugTrace-AI [AI Automated Web Pentesting]
• https://github.com/six2dez/reconftw_ai [ReconFTW with AI Analysis]
• https://github.com/projectdiscovery/katana [Katana (ProjectDiscovery) - fast web crawler/spider for automation: standard & headless, JS endpoint parsing, scope/regex filters, JSONL; stacks with httpx/nuclei and AI pentest agent workflows]
• https://github.com/Ed1s0nZ/CyberStrikeAI [AI-Native Security Testing Platform with 100+ Tools]
• https://github.com/vxcontrol/pentagi [PentAGI - Fully autonomous AI agents for penetration testing]
• https://github.com/KeygraphHQ/shannon [Shannon - Autonomous AI pentester, finds and executes real exploits in web apps]

AI Red Teaming Tools

• https://github.com/Azure/counterfit [Microsoft ML Penetration Testing Tool]
• https://github.com/Azure/PyRIT [Microsoft Red-Teaming Framework for GenAI]
• https://github.com/meta-llama/PurpleLlama [Meta Open-Source LLM Safety Tools]
• https://github.com/NVIDIA/NeMo-Guardrails [NVIDIA Programmable Guardrails]
• https://github.com/NoDataFound/hackGPT [LLM Toolkit for Offensive Security]
• https://github.com/ipa-lab/hackingBuddyGPT [Autonomous Red-Teaming Agent]
• https://github.com/Yanlewen/TradeTrap [TradeTrap - test LLM-based trading agents: prompt injection, MCP hijacking, state tampering, memory poisoning; AI-Trader/Valuecell]

AI Security MCP Tools

• https://github.com/0x4m4/hexstrike-ai [HexStrike AI - 150+ Cybersecurity Tools MCP]
• https://github.com/cyproxio/mcp-for-security [Pentesting MCP]
• https://github.com/johnhalloran321/mcpSafetyScanner [MCP Safety Scanner]
• https://github.com/Karthikathangarasu/pentest-mcp [Pentest MCP]
• https://github.com/Sicks3c/hackerone-mcp-server [HackerOne MCP — unofficial Hacker API over stdio: reports, programs, scope, earnings, hacktivity; submit/comment/close; MIT]
• https://github.com/zhizhuodemao/android_proxy_mcp [Android Proxy MCP - MCP-based Android traffic capture, let AI analyze HTTP/HTTPS via natural language]
• https://github.com/MHaggis/Security-Detections-MCP [Security Detections MCP - unified Sigma/Splunk ESCU/Elastic/KQL, 71+ tools, 11 prompts, autonomous detection platform]
• https://github.com/rolandpg/zettelforge [ZettelForge — CTI agentic memory MCP server with entity extraction (CVEs, threat actors, IOCs, MITRE ATT&CK), knowledge graph with alias resolution, STIX 2.1, intent-classified retrieval, OCSF audit logging; offline; MIT]

AI-Powered C2

• https://github.com/Red-Hex-Consulting/Ankou [AI C2 Framework]

AI Password Cracking

• https://github.com/d-sec-net/VPK [AI Automated Password Cracking]

AI Security Tools & Frameworks

AI SOC & SecOps

• https://github.com/Vigil-SOC/vigil [Vigil - open-source AI-native SOC: 12 specialized agents, multi-agent workflows, MCP integrations (SIEM/EDR/TI/sandbox/ticketing), FastAPI + React]

AI Reverse Engineering

• https://github.com/ZeroDaysBroker/GhidraGPT [GPT Integration for Ghidra]
• https://github.com/jtang613/GhidrAssist [LLM Extension for Ghidra]
• https://github.com/0xeb/windbg-copilot [WinDbg Copilot - Agentic Debugging extension]
• https://github.com/agentrebench/AgentRE-Bench [AgentRE-Bench - Agentic benchmark for long-horizon binary RE: C2/encoding/anti-analysis, deterministic scoring, 13 ELF tasks]
• https://github.com/banteg/bn [bn - Agent-friendly Binary Ninja CLI: decompile, xrefs, types, mutations via Unix socket to GUI plugin]
• https://github.com/amruth-sn/kong [Kong - agentic reverse engineer, LLM-orchestrated binary RE via in-process Ghidra, call-graph analysis, agentic deobfuscation]
• https://github.com/CSIT-SG/AETHER [An AI-powered reverse-engineering copilot for assisting tedious malware analysis in IDA Pro]
• https://github.com/mrphrazer/ghidra-headless-mcp [ghidra-headless-mcp — headless Ghidra over MCP]

AI Vulnerability Detection

• https://github.com/Mayaaa311/LLMBugScanner [LLM BugScanner - GPTLens-style pipeline: pluggable HF code LLMs as auditor + critic, rank findings by correctness/severity; Solidity-oriented datasets]
• https://github.com/LLMAudit/LLMSmartAuditTool [LLM-SmartAudit - multi-agent Solidity auditing (BA/TA modes), task-oriented roles, 40+ detector prompts, batch notebooks + web visualizer, OpenAI API; arXiv:2410.09381]
• https://github.com/scabench-org/hound [AI Auditor with Adaptive Knowledge Graphs]
• https://semgrep.dev/ [AI-Assisted SAST]
• https://github.com/squirrelscan/squirrelscan [Website audit tool for agent/LLM workflows (security/performance/SEO)]
• https://github.com/rohansx/vgx [Git pre-commit security scanner with LLM integration (detect AI code + vulnerabilities)]
• https://github.com/HikaruEgashira/vulnhuntrs [AI Web Security Audit Tool]
• https://github.com/xvnpw/ai-security-analyzer [AI Security Doc Generator]
• https://github.com/aress31/burpgpt [BurpGPT - AI Vulnerability Scanning]
• https://github.com/haroonawanofficial/AISA-Scanner [AI Security Scanner]
• https://github.com/youpengl/OpenVul [OpenVul - Post-training framework for LLM-based vulnerability detection (SFT/DPO/ORPO/GRPO)]
• https://github.com/Pinperepette/snakebite [snakebite - PyPI supply-chain scanner: heuristics + optional LLM to cut false positives; local or RSS feed mode]
• https://github.com/rushter/hexora [hexora - Rust static analyzer for malicious Python (supply-chain, pasted scripts, IoCs); AST rules with confidence levels]
• https://github.com/sashiko-dev/sashiko [Sashiko - agentic Linux kernel patch review (Rust): lore.kernel.org + local git, multi-stage LLM protocol (implementation, concurrency, security, drivers), web UI/CLI; self-contained; patch/kernel context sent to LLM—authorize sharing & monitor API cost; Apache-2.0]

AI CVE Analysis

• https://github.com/arschlochnop/VulnWatchdog [CVE Monitoring with GPT Analysis]
• https://github.com/suhasgowtham-x/aegis-security-co-pilot [AI CVE Scanner]
• https://github.com/ucsb-mlsec/VulnLLM-R [Specialized Reasoning LLM for Vulnerability]
• https://github.com/RogoLabs/VulnRadar [VulnRadar - Vulnerability radar via GitHub Actions: CVE watchlist, KEV/EPSS/PatchThis, issues, Discord/Slack/Teams]

AI OSINT

• https://ai.cylect.io/ [AI OSINT]
• https://github.com/apurvsinghgautam/robin/ [AI-Powered Dark Web OSINT Tool]
• https://github.com/calesthio/Crucix [Crucix - self-hosted OSINT terminal: 27 open feeds (satellite, flights, conflict, markets), Jarvis dashboard, optional LLM alerts & Telegram/Discord bots]

AI Security Libraries

• https://secml.readthedocs.io/ [SecML - Secure and Explainable ML Library]
• https://github.com/google/oss-fuzz-gen [AI Code Audit Fuzzing Tool]
• https://github.com/Invicti-Security/brainstorm [AI Fuzzer for Web Applications]

TLS, fingerprint & bot signals (web / automation)

• https://github.com/rawandahmad698/noble-tls [noble-tls - Python HTTP client with TLS/JA3 impersonation (requests-like API, auto-updated fingerprints)]
• https://github.com/lexiforest/curl_cffi [curl_cffi - Python bindings to libcurl-impersonate: browser-aligned TLS/JA3 and HTTP/2 fingerprints without a full browser; strong default for scripted fetches]
• https://github.com/0x676e67/rnet [rnet - Rust HTTP client with TLS JA3/JA4 and HTTP/2 fingerprint control]
• https://github.com/fingerprintjs/BotD [BotD (FingerprintJS) - open-source client-side bot detection SDK you embed in your own pages (self-hosted / first-party integration)]
• https://github.com/botswin/BotBrowser [BotBrowser - cross-platform Chromium for automation/QA against anti-bot stacks (Cloudflare, Akamai, Kasada, Shape, DataDome, PerimeterX, hCaptcha, FunCaptcha, Imperva, reCAPTCHA, ThreatMetrix, Adscore, etc.); use only on systems you own]
• https://github.com/MiddleSchoolStudent/BotBrowser [BotBrowser (alt distribution) - headless-oriented Chromium builds for anti-bot automation; compare with botswin fork; authorized targets only]
• https://github.com/daijro/camoufox [Camoufox - stealth-oriented Firefox for scraping/automation; pairs well with Browser-Use-style stacks and Cloudflare-challenge helper tools (e.g. solver proxies); use only where you have authorization]
• https://github.com/AlloryDante/undetected-browser [undetected-browser - modified Puppeteer/Chromium stack for lower-detection automation testing]
• https://github.com/ultrafunkamsterdam/nodriver [nodriver - undetected-style Chrome control without classic WebDriver surface; Python driver for hardened automation research]
• https://github.com/Xewdy444/CF-Clearance-Scraper [CF-Clearance-Scraper - scriptable retrieval of Cloudflare cf_clearance / session artifacts for HTTP clients; for authorized testing and research only]
• https://github.com/FlareSolverr/FlareSolverr [FlareSolverr - self-hosted HTTP API/proxy that solves Cloudflare challenges and returns cookies/HTML for downstream clients; deploy only on networks and sites you are allowed to test]
• https://github.com/xKiian/awswaf [awswaf - AWS WAF browser-challenge / token handling for scripted clients; for authorized security research and targets you own or have explicit permission to test]
• https://github.com/fingerprintjs/fingerprintjs [FingerprintJS - browser fingerprinting library (open-source visitor identification)]
• https://github.com/abrahamjuliot/creepjs [CreepJS - browser fingerprinting + anti-spoofing / lie detection; modular parallel collection for privacy and bot research]
• https://github.com/juu17/browser-fingerprint-shuffler [browser-fingerprint-shuffler - browser extension to shuffle fingerprint-related signals (privacy / QA research)]
• https://pixelscan.net/fingerprint-check [Pixelscan - online browser fingerprint consistency / leak checker]
• https://github.com/Myronfr/RISC-Fingerprinting2025 [RISC-Fingerprinting2025 - browser fingerprinting research materials]
• https://github.com/Myronfr/AkamaiBmpGen2025 [AkamaiBmpGen2025 - Akamai BMP/sensor research tooling and notes (e.g. Akamai-ACF related artifacts)]
• https://nullpt.rs/compiling-browser-to-bypass-antibot-measures [nullpt.rs - building Chromium variants for anti-bot / automation research (write-up)]
• https://github.com/zmzimpl/chrome-power-app [Chrome Power App - companion app for customized Chromium / fingerprint-oriented workflows]
• https://github.com/zmzimpl/chrome-power-chromium [chrome-power-chromium - Chromium sources for Chrome Power–style builds]

AI Agent Security

• https://github.com/NVIDIA/NemoClaw [NVIDIA plugin for secure installation of OpenClaw - sandboxed agents with Landlock/seccomp/netns, policy-enforced egress and inference]
• https://github.com/peg/rampart [Firewall for AI agents - policy engine for OpenClaw, Claude Code, Cursor, Codex]
• https://github.com/openguardrails/openguardrails [OpenGuardrails - Runtime security for AI agents: prompt injection, credential leakage, exfiltration, behavioral threats]
• https://github.com/cisco-ai-defense/skill-scanner [Security scanner for agent skills - prompt injection, exfiltration, malicious code]
• https://github.com/huifer/skill-security-scan [CLI to scan Claude Skills for security risks before installing]
• https://github.com/avast/sage [Sage - Agent Detection & Response: guards commands, files, web requests for Claude Code, Cursor, OpenClaw]
• https://github.com/thewaltero/mythos-router [mythos-router - Node/TS CLI for Claude (Opus): Strict Write Discipline — pre/post filesystem snapshots verify claimed file ops, correction turns, MEMORY.md execution log, token/turn budgets, dry-run, mythos verify drift scan; MIT]
• https://github.com/ex-machina-co/opencode-anthropic-auth [OpenCode plugin: Anthropic OAuth auth (PKCE + refresh) for Claude Pro/Max subscription usage; injects required headers/beta flags + system-prompt sanitization; strongly recommend version pinning to reduce auto-update supply-chain risk]
• https://github.com/motiful/cc-gateway [cc-gateway - Claude Code ↔ Anthropic reverse proxy: canonical device/env fingerprint rewrite, telemetry sanitization, billing-header strip, centralized OAuth; alpha; MIT]
• https://github.com/ultrmgns/claude-private [claude-private — Claude Code CLI patched to strip telemetry/phone-home (binary + env); Messages API intact; ANTHROPIC_BASE_URL for claude-code-router / alt backends; Linux x86_64 + patch_binary.py]
• https://github.com/botiverse/agent-vault [Keep secrets hidden from AI agents - placeholder I/O layer, encrypted vault]
• https://github.com/alrinny/agent-chat [E2E encrypted agent-to-agent messaging, prompt injection guardrail]
• https://github.com/numbergroup/AgentGuard [AgentGuard - prompt/command injection, Unicode bypass, Clinejection-style, GitHub issue screening, OpenClaw + MCP]
• https://github.com/onecli/onecli [OneCLI - Open-source credential vault for AI agents. Rust HTTP gateway injects API credentials transparently so agents never hold raw keys. AES-256-GCM encryption, per-agent scoping, audit trail]

AI Slop / PR Quality

• https://github.com/peakoss/anti-slop [GitHub Action: detect and auto-close low-quality and AI slop PRs]

AI Agents & Frameworks

Agent Frameworks

• https://github.com/microsoft/ai-agents-for-beginners [AI Agents for Beginners]
• https://github.com/rasbt/mini-coding-agent [mini-coding-agent — minimal Python coding-agent harness (workspace snapshot, tools, approval modes, session/memory); Ollama backend; stdlib-only script; Apache-2.0]
• https://github.com/openai/openai-agents-js [OpenAI Agent JS]
• https://github.com/openai/openai-agents-python [OpenAI Agent Python]
• https://github.com/e2b-dev/awesome-ai-agents [Awesome AI Agents]
• https://github.com/elizaOS/eliza [Autonomous Agents Framework]
• https://github.com/kyegomez/swarms [Enterprise Multi-Agent Orchestration]
• https://github.com/crewAIInc/crewAI [CrewAI - Autonomous AI Agents]
• https://github.com/pydantic/pydantic-ai [Pydantic AI - Agent Framework]
• https://github.com/kortix-ai/suna [Suna - Open Source AI Agent]
• https://github.com/HKUDS/AutoAgent [AutoAgent - Zero-Code LLM Agent]
• https://github.com/VoltAgent/voltagent [VoltAgent - TypeScript AI Agent]
• https://github.com/langchain-ai/langgraph [LangGraph]
• https://github.com/langchain-ai/langchain [LangChain]
• https://github.com/openonion/connectonion [ConnectOnion - AI Agent Framework for Agent Collaboration]
• https://github.com/voltropy/volt [Volt - Coding agent with lossless context management]
• https://github.com/badlogic/pi-mono [Pi - AI agent toolkit: coding agent CLI, LLM API, TUI/web UI, Slack bot, vLLM pods]
• https://github.com/jshachm/pi-rs [pi-mono rust version]
• https://github.com/prateekmedia/claude-agent-sdk-pi [Claude Agent SDK as LLM provider for Pi]
• https://github.com/disler/pi-vs-claude-code [Pi vs Claude Code: comparison, Pi extensions, damage-control safety]
• https://github.com/nicobailon/pi-subagents [pi-subagents - Pi extension: async subagent delegation, chains/parallel, TUI, truncation, MCP, Agents Manager]
• https://github.com/denismrvoljak/pi-tutor [pi-tutor - Pi extension: personal coding tutor; adapts to learning style, markdown-first tracks under ~/.pi/agent/pi-tutor, hint-first flows (/hint, /reflect, /next_step, /start_tutoring), /tutor on guard]
• https://github.com/karpathy/autoresearch [autoresearch - AI agents running single-GPU nanochat training autonomously, program.md + train.py, 5-min val_bpb loop]
• https://github.com/davebcn87/pi-autoresearch [Pi Autoresearch - autonomous experiment loop for Pi: try/measure/keep/revert, test speed, bundle size, LLM training, Lighthouse]
• https://github.com/antinomyhq/forgecode [Forge - AI-enhanced terminal coding agent/pair programmer with multi-provider model support, workflows, MCP integration, and restricted shell mode]
• https://github.com/boshu2/agentops [AgentOps - DevOps layer for coding agents: flow, feedback, memory across sessions]
• https://github.com/Cranot/roam-code [Architectural intelligence layer for AI coding agents — structural graph, governance, multi-agent orchestration, vulnerability mapping, 100% local]
• https://github.com/hotjp/long-run-agent [LRA - long-running AI agent task manager: DAG dependencies, Constitution quality gates, 7-stage iteration guidance, multi-agent collaboration, context management]
• https://github.com/NousResearch/hermes-agent [Hermes Agent — Nous Research: TUI + messaging gateway (Telegram/Discord/Slack/WhatsApp/Signal), skills/memory loop, MCP, cron, subagents & tool RPC, multi-provider models, remote terminal backends; hermes claw migrate from OpenClaw; MIT]

Formal Methods & Lean (AI Agents)

• https://github.com/math-inc/OpenGauss [Open Gauss - project-scoped Lean workflow orchestrator: /prove /draft /autoprove /formalize via cameronfreer/lean4-skills; Claude Code or Codex backends, swarm tracking, MCP/LSP; forked from hermes-agent]

RAG Frameworks

• https://github.com/infiniflow/ragflow [Best RAG Solution]
• https://github.com/FareedKhan-dev/all-rag-techniques [All RAG Techniques]
• https://github.com/NirDiamant/RAG_Techniques [RAG Techniques Concepts]
• https://github.com/lobehub/lobe-chat [Local RAG System]
• https://github.com/HKUDS/MiniRAG [Mini RAG]
• https://github.com/microsoft/PIKE-RAG [PIKE-RAG]
• https://github.com/Olow304/memvid [Memvid - experimental RAG by encoding document corpora into video for retrieval]

AI Memory & Long Context

• https://github.com/mem0ai/mem0 [Mem0 - universal long-term memory layer for AI agents; user/session/agent state, Python & Node SDKs, self-host or Mem0 Platform]
• https://github.com/supermemoryai/supermemory [Supermemory - long-term memory API/SDK for AI apps and agents]
• https://github.com/mindverse/Second-Me [Second-Me - personal AI twin: learns your style, remembers context, can act on your behalf]
• https://github.com/langchain-ai/langmem [LangMem - LangChain toolkit for long-term agent memory]
• https://github.com/langchain-ai/memory-agent [Memory agent - LangGraph reference agent with persistent memory patterns]
• https://github.com/alexzhang13/rlm [Recursive Language Models (RLM) - unbounded context via recursive sub-LLM calls]
• https://github.com/EverMind-AI/MSA [MSA (Memory Sparse Attention) - end-to-end trainable sparse latent memory for extreme long context (paper; code/models TBD)]
• https://github.com/getzep/graphiti [Graphiti - dynamic temporal knowledge graph as agent memory (Zep)]
• https://github.com/amanhij/Zikkaron [Zikkaron - Claude Code long-term memory over MCP: local SQLite + sqlite-vec + FTS; 26 cognitive-style subsystems (predictive write gate, Hopfield energy, reconsolidation, causal discovery, successor representations), 23 tools, hooks for context compaction replay & session warm-start; MIT]
• https://github.com/qhjqhj00/MemoRAG [MemoRAG - long-memory RAG over large corpora]
• https://github.com/milla-jovovich/mempalace [MemPalace - local long-term memory system for AI agents with hierarchical "palace" structure, ChromaDB storage, AAAK compression dialect, and MCP tools]

AI Browser Automation

• https://github.com/steel-dev/steel-browser [Steel Browser - AI-controllable browser automation with fingerprint / stealth-oriented controls]
• https://github.com/Skyvern-AI/skyvern [Skyvern - LLM + computer-vision agents for web workflows; natural-language goals drive browser automation]
• https://github.com/runablehq/mini-browser [mini-browser (Runable) - lightweight embeddable browser runtime built for AI agents]
• https://github.com/millionco/expect [Expect - expect-cli: agents run browser tests from unstaged/branch changes; Claude or Codex]
• https://github.com/JCodesMore/ai-website-cloner-template [AI Website Cloner Template - one-command /clone-website workflow for agent-driven pixel-perfect site cloning (recon, asset extraction, component specs, parallel builders); MIT]
• https://github.com/browser-use/browser-use [Browser-Use - AI Browser Control]
• https://github.com/browser-use/macOS-use [Computer-Use for macOS]
• https://github.com/web-infra-dev/midscene [Browser-Use Alternative]
• https://github.com/browser-use/workflow-use [Browser-Use Workflow Recording]
• https://github.com/microsoft/magentic-ui [Microsoft Browser-Use Alternative]
• https://github.com/lightpanda-io/browser [Lightpanda - headless browser for AI workloads, implemented in Zig (small memory footprint)]
• https://github.com/jo-inc/camofox-browser [Camofox Browser - headless Camoufox/Firefox automation server for AI agents to reach sites that often block stock automation; anti-detection / realistic fingerprints]
• https://github.com/Kaliiiiiiiiii-Vinyzu/patchright [patchright - patched Playwright with stronger anti-automation-detection defaults]
• https://github.com/Kaliiiiiiiiii-Vinyzu/patchright-python [patchright-python - Python SDK for patchright]
• https://github.com/Kaliiiiiiiiii-Vinyzu/patchright-nodejs [patchright-nodejs - Node.js SDK for patchright]

MCP Servers

• https://mcp.so/ [MCP Collection Website]
• https://github.com/gmh5225/MCP-Chinese-Getting-Started-Guide [MCP Getting Started Guide]
• https://github.com/microsoft/DebugMCP [VSCode extension that exposes a local MCP server for AI-assisted debugging (multi-language)]
• https://github.com/mrphrazer/ghidra-headless-mcp [ghidra-headless-mcp — headless Ghidra over MCP]
• https://github.com/anthropics/knowledge-work-plugins [Claude plugins repo with skills/connectors/slash commands (MCP integration)]
• https://github.com/co-browser/browser-use-mcp-server [Browser-Use MCP]
• https://github.com/langchain-ai/langchain-mcp-adapters [MCP to LangChain Adapter]
• https://github.com/patruff/ollama-mcp-bridge [Ollama MCP Bridge]
• https://github.com/regenrek/deepwiki-mcp [DeepWiki MCP]
• https://github.com/upstash/context7 [Documentation MCP]

AI Sandbox & Isolation

• https://github.com/NVIDIA/OpenShell [OpenShell - safe private runtime for autonomous agents: Docker/K3s gateway, YAML policies (filesystem, L7 network egress, process, inference routing), credential providers without FS leakage; Claude, OpenCode, Codex, Copilot; Apache-2.0, alpha]
• https://github.com/microsandbox/microsandbox [AI Code Execution Sandbox, E2B Alternative]
• https://github.com/jamesmurdza/sandboxjs [All-in-One Sandbox for AI Agents]
• https://github.com/agent-infra/sandbox [Agent Infrastructure Sandbox]
• https://github.com/skanehira/mori [Rust-based Sandbox]
• https://github.com/always-further/nono [Rust-based Sandbox]
• https://github.com/penberg/agentfs [TypeScript Agent Sandbox with Controlled File System Access]
• https://github.com/zerocore-ai/microsandbox [Microsandbox - Hardware-level Isolation for Untrusted Code]
• https://github.com/vercel-labs/ai-sdk-tool-code-execution [Vercel AI SDK Code Execution Sandbox]
• https://github.com/moru-ai/moru [Run AI Agents in the Cloud]
• https://github.com/earendil-works/gondolin [Experimental Linux MicroVM Agent Sandbox]
• https://github.com/adammiribyan/zeroboot [Zeroboot - sub-millisecond KVM VM sandboxes for AI agents via Firecracker snapshot + CoW forking, Python/Node SDK]
• https://github.com/rcarmo/piclaw [PiClaw - Docker sandbox for Pi Coding Agent: isolated Debian, streaming web UI, SSE, persistent sessions, passkeys/TOTP, optional WhatsApp]

AI Development & Training

Training Frameworks

• https://github.com/trevin-creator/autoresearch-mlx [Apple Silicon (MLX) port of Karpathy's autoresearch — autonomous AI research loops on Mac, agent edits train.py, val_bpb keep/revert]
• https://github.com/openai/parameter-golf [OpenAI Parameter Golf / Model Craft Challenge - train LM in ≤16MB artifact; MLX on Apple Silicon locally, CUDA multi-GPU (e.g. 8×H100) for leaderboard; FineWeb val bits-per-byte]
• https://github.com/kvcache-ai/ktransformers [LLM Inference Optimization Framework]
• https://github.com/transformerlab/transformerlab-app [Training Studio]
• https://github.com/Lightning-AI/litgpt [Fine-tuning Framework]
• https://github.com/ml-explore/mlx-lm [MLX LLM Fine-tuning]
• https://github.com/arcee-ai/mergekit [Model Merge Tool]
• https://github.com/PrimeIntellect-ai/prime [Distributed AI Training]
• https://docs.unsloth.ai/basics/tutorials-how-to-fine-tune-and-run-llms [Unsloth Fine-tuning]
• https://x.com/UnslothAI/status/1953896997867729075 [Free fine-tuning tutorial for gpt-oss-20b]
• https://github.com/OpenPipe/ART [ART - Agent Reinforcement Trainer framework with GRPO integration]
• https://medium.com/@lucamassaron/fine-tuning-gemma-3-1b-it-for-financial-sentiment-analysis-a-step-by-step-guide-1a025d2fc75d [Step-by-step Gemma 3 1B-IT finetuning guide for financial sentiment]

Local Models

• https://github.com/mudler/LocalAI [Local Model Loading Tool]
• https://github.com/guinmoon/LLMFarm [LLM on iOS/macOS]
• https://github.com/huggingface/open-r1 [DeepSeek-R1 Open Source Reproduction]
• https://huggingface.co/kai-os/Carnice-9b [Carnice-9b — Qwen3.5-9B-based merged 9B checkpoint tuned for Hermes Agent (terminal, browser, structured tool use, harness-native message patterns); Apache-2.0]
• https://github.com/exo-explore/exo [AI Cluster Model Running]
• https://github.com/GradientHQ/parallax [Parallax - fully decentralized inference framework: distribute LLM serving across GPU nodes (SGLang/vLLM) + Macs (MLX) via Lattica P2P; OpenClaw integration; Apache-2.0]
• https://github.com/michaelneale/mesh-llm [mesh-llm - distributed LLM inference mesh: auto-splits dense models (pipeline parallelism) + MoE experts (expert sharding) across nodes via llama.cpp RPC; OpenAI-compatible API; gossip blackboard]
• https://github.com/CherryHQ/cherry-studio [Local LLM GUI]
• https://github.com/sauravpanda/BrowserAI [Run Local LLMs in Browser]
• https://github.com/signerlabs/Klee [Local Model Chat + RAG]
• https://github.com/AlexsJones/llmfit [llmfit - hardware-aware local model recommender (RAM/CPU/GPU fit scoring), TUI/CLI + provider/runtime support (Ollama, llama.cpp, MLX, LM Studio, vLLM)]
• https://github.com/dontizi/rlama [Local Ollama + RAG]
• https://github.com/dinoki-ai/osaurus [MLX-based local inference server, Ollama alternative]
• https://github.com/trymirai/uzu [High-performance Rust inference engine]
• https://github.com/jundot/omlx [LLM inference server for Apple Silicon]
• https://github.com/gamogestionweb/Turboquant-llama [TurboQuant + llama.cpp — roadmap/docs for Google TurboQuant (PolarQuant + QJL) KV-cache compression on mobile; MIT]
• https://github.com/TheTom/turboquant_plus [TurboQuant+ — KV-cache compression (PolarQuant + WHT); Python reference + llama.cpp fork with Metal turbo3/turbo4; Apache-2.0]
• https://github.com/spiritbuun/llama-cpp-turboquant-cuda [llama-cpp-turboquant-cuda — TurboQuant llama.cpp fork with CUDA support (NVIDIA GPU path)]
• https://github.com/mitkox/vllm-turboquant [vllm-turboquant — vLLM 0.18.1rc1 fork with TurboQuant integration]
• https://github.com/tonbistudio/turboquant-pytorch [TurboQuant — from-scratch PyTorch KV-cache compression (rotation + Lloyd-Max + QJL); synthetic + real-model validation; MIT]
• https://github.com/Anemll/flash-moe [flash-moe (fork) - C/Objective-C/Metal inference engine for Qwen3.5-397B-A17B MoE on Apple Silicon; experts streamed from SSD (pread + page cache), hybrid MLX 4-bit + Unsloth GGUF Q3 experts / Q6 LM head / Q8 embedding, llama.cpp-style IQ3/IQ4/Q5 dequant kernels, optional Metal 4 NAX matmul (M5+), --cache-io-split for SSD fanout; tool-calling chat TUI]
• https://github.com/0xSero/deepseek-v4-flash-sm120 [deepseek-v4-flash-sm120 - SM_120 (NVIDIA Blackwell RTX 50xx/Pro 6000) sparse-decode kernel + runtime monkey-patch for DeepSeek-V4-Flash FP8 on lmsysorg/sglang:deepseek-v4-blackwell]
• https://github.com/gmh5225/optiml [OptiML - accelerate local inference via hot/cold neuron partitioning across GPU/CPU]

Uncensored Models

• https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard [Uncensored Model Leaderboard]
• https://erichartford.com/uncensored-models [Uncensored Models Training Guide]
• https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8B [Dolphin Uncensored Model]
• https://huggingface.co/LuffyTheFox/OmniCoder-Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2-GGUF [Qwen3.5-9B-Claude-4.6-Opus-Uncensored-v2]

Prompts & Rules

• https://github.com/NeoVertex1/SuperPrompt [Super Prompt]
• https://github.com/richards199999/Thinking-Claude [Claude Enhancement Prompt]
• https://github.com/LouisShark/chatgpt_system_prompt [ChatGPT System Prompts Collection]
• https://github.com/PatrickJS/awesome-cursorrules [Awesome Cursor Rules]
• https://github.com/anthropics/prompt-eng-interactive-tutorial [Anthropic Prompt Engineering Tutorial]
• https://github.com/langgptai/wonderful-prompts [Wonderful Prompts Collection]
• https://github.com/Leonxlnx/claude-code-system-prompts [Claude Code System Prompts - independent research catalog of Claude Code prompt architecture, agent directives, and security classifier prompts]
• https://github.com/mshumer/gpt-oss-pro-mode [Shared "pro mode" prompts to upgrade many open models]

Routing & Model Selection

• https://github.com/CommonstackAI/UncommonRoute [UncommonRoute - local LLM router that dispatches requests by complexity tier; Codex/Claude Code/Cursor/OpenClaw compatible, ~0.5ms latency, 86% cost savings]
• https://github.com/microsoft/best-route-llm [Train routing models to pick the best LLM per query]
• https://openrouter.ai/switchpoint/router [Hosted router to automatically select optimal models]

Claude Code Skills / Plugins

• https://github.com/VoltAgent/awesome-claude-code-subagents [100+ Specialized Claude Code Subagents Collection]
• https://github.com/shuvonsec/claude-bug-bounty [claude-bug-bounty - Claude Code plugin for authorized bug bounty (Web2 + Web3): 7 skills, 8 slash commands (/recon, /hunt, /validate, /report, /chain, /scope, /triage, /web3-audit), 5 agents, recon stack (subfinder, httpx, katana, nuclei, …), vuln scanners + LLM-app probes (hai_*), report templates; companion repos for Web3 skills & writeup→skill builder in README]
• https://github.com/affaan-m/everything-claude-code [Everything Claude Code - production plugin: agents, skills, hooks, commands, rules, MCP; Cursor/Codex/OpenCode; AgentShield /security-scan]
• https://github.com/openai/codex-plugin-cc [codex-plugin-cc — OpenAI Claude Code plugin: drive local Codex from CC (/codex:review, /codex:adversarial-review, /codex:rescue + status/result/cancel); optional Stop-hook review gate; Apache-2.0]
• https://github.com/uditgoenka/autoresearch [Claude Autoresearch - Claude Code plugin (Karpathy autoresearch-inspired): goal + mechanical metric + verify loop with git keep/revert and TSV logs; /autoresearch:plan, :security (STRIDE/OWASP read-only audit), :ship, :debug, :fix, :scenario, :predict, :learn; optional Guard regression gate; marketplace + manual install]
• https://github.com/xu-xiang/everything-claude-code-zh [everything-claude-code 中文翻译 - full zh-CN agents/skills/hooks/commands/rules/MCP，便于中文开发者使用 ECC 生态]
• https://github.com/popup-studio-ai/bkit-claude-code [bkit - PDCA methodology + context engineering for Claude Code, AI-native development]
• https://github.com/Dammyjay93/interface-design [Design Engineering for Claude Code - Consistent UI]
• https://github.com/BehiSecc/VibeSec-Skill [Claude skill for secure code and common vulnerability prevention]
• https://github.com/mukul975/Anthropic-Cybersecurity-Skills [754 structured cybersecurity skills for AI agents; mapped to MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, and NIST AI RMF; agentskills.io standard; works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI, and 20+ platforms]
• https://github.com/SnailSploit/Claude-Red [Claude-Red - curated offensive-security skill library for Claude Skills (SKILL.md): SQLi, shellcode, EDR evasion, exploit development, and other attack-surface playbooks]
• https://github.com/hamelsmu/claude-review-loop [Claude Code plugin: automated code review loop with Codex]
• https://github.com/blader/humanizer [Remove AI Writing Signs from Text]
• https://github.com/hardikpandya/stop-slop [Stop Slop - Claude skill to strip AI writing tells from prose: banned phrases, structural clichés, sentence rules]
• https://github.com/op7418/Humanizer-zh [Humanizer Chinese Version]

AI Applications

Chat & Assistant

• https://github.com/open-webui/open-webui [ChatGPT Clone]
• https://github.com/ChatGPTNextWeb/NextChat [NextJS Chat]
• https://github.com/vercel/chat [Chat SDK - TypeScript SDK for chat bots on Slack, Teams, Google Chat, Discord]
• https://github.com/vercel/ai-chatbot [Vercel AI Chatbot]
• https://github.com/block/goose [MCP Desktop Agent]
• https://github.com/openclaw/openclaw [Personal AI assistant across platforms and channels]
• https://github.com/TinyAGI/tinyclaw [TinyClaw - multi-agent, multi-team, multi-channel 24/7 assistant; Discord/Telegram/WhatsApp, TinyOffice web portal, SQLite queue, Claude Code/Codex]
• https://github.com/zhixianio/clawpal [ClawPal - Desktop companion for OpenClaw: manage agents, models, configs with visual UI]
• https://github.com/HKUDS/nanobot [Ultra-lightweight personal AI assistant (Clawdbot-inspired)]
• https://github.com/zeroclaw-labs/zeroclaw [ZeroClaw - Rust AI assistant, under 5MB RAM, $10 hardware]
• https://github.com/louisho5/picobot [Picobot - Lightweight self-hosted AI bot, single Go binary]

AI Deep Research

• https://github.com/assafelovic/gpt-researcher [GPT Researcher]
• https://github.com/bytedance/deer-flow [ByteDance Deep Research]
• https://github.com/LearningCircuit/local-deep-research [Local Deep Research]
• https://github.com/u14app/deep-research [Deep Research NextJS]
• https://github.com/zilliztech/deep-searcher [Local Deep Searcher]
• https://github.com/aakashsharan/research-vault [AI Research Assistant with RAG and Structured Extraction]

AI Search Engines

• https://github.com/rashadphz/farfalle [AI Search Engine]
• https://github.com/miurla/morphic [AI Search Engine]
• https://github.com/zaidmukaddam/scira [AI Search with xAI]
• https://github.com/khoj-ai/khoj [AI Search with Local Models]

AI Code Analysis

• https://github.com/gmh5225/CodeLens [Code Analysis Tool for LLM]
• https://github.com/mufeedvh/code2prompt [Code to Prompt Tool]
• https://github.com/yamadashy/repomix [GitHub Summarizer for LLM]
• https://github.com/cyclotruc/gitingest [GitHub Summarizer for LLM]
• https://github.com/ahmedkhaleel2004/gitdiagram [GitHub Diagram Generator]
• https://gitingest.com [GitHub Code Merger for LLM]
• https://deepwiki.com [GitHub Project Deep Search]

AI Web Scraping

• https://github.com/D4Vinci/Scrapling [Scrapling - adaptive Python scraping framework: parsers relearn selectors when pages change, fetcher handles Cloudflare Turnstile-class bot checks, spider mode (concurrency, multi-session, pause/resume, proxy rotation), streaming stats]
• https://github.com/proxifly/free-proxy-list [free-proxy-list (Proxifly) - curated free HTTP/SOCKS proxy feeds for labs and scraper/agent pipelines; treat public proxies as hostile—no credentials or production traffic]
• https://github.com/ScrapeGraphAI/Scrapegraph-ai [AI Web Scraping]
• https://github.com/mishushakov/llm-scraper [LLM Web Scraper]
• https://github.com/samber/the-great-gpt-firewall [Anti-AI Web Scraping]

AI Social Media

• https://github.com/steipete/birdclaw [Local-first X workspace: archive import, AI-ranked inbox/triage, profile-reply scan for AI/slop, scriptable JSON for agents]
• https://github.com/d60/twikit [Twitter Bot Python]
• https://github.com/elizaOS/agent-twitter-client [Twitter Bot JS]
• https://github.com/blorm-network/ZerePy [Twitter AI Agent Python]
• https://github.com/langchain-ai/social-media-agent [Social Media Automation]
• https://github.com/RandyVentures/tgcli [tgcli - Telegram CLI: sync, search, send, JSON output; built for OpenClaw E2E testing]
• https://github.com/terminaltrove/moltbook-tui [moltbook-tui - TUI client for Moltbook, social network for AI agents; feed, comments, leaderboards, submolts]

AI Vision Applications

• https://github.com/shukur-alom/leaf-diseases-detect [Leaf disease detection - FastAPI + Streamlit, Llama Vision via Groq API, severity and treatment recommendations from leaf images]

AI Image & Video

AI Image Generation

• https://github.com/AUTOMATIC1111/stable-diffusion-webui [Stable Diffusion WebUI]
• https://github.com/leejet/stable-diffusion.cpp [Stable Diffusion C++]
• https://github.com/apple/ml-stable-diffusion [Apple Stable Diffusion]
• https://github.com/ant-research/MagicQuill [Intelligent Image Editing]
• https://github.com/lightningpixel/modly [Modly - desktop app: image-to-3D mesh with local open-source models on GPU; Electron + Python, extension system]

AI Video Generation

• https://github.com/bytedance/LatentSync [Digital Human Video]
• https://github.com/HKUDS/AI-Creator [AI Video Creator]

AI TTS

• https://github.com/SparkAudio/Spark-TTS [Spark TTS]
• https://github.com/rany2/edge-tts [Edge TTS]

AI Face Recognition

• https://github.com/serengil/deepface [Face Recognition Matching Library]
• https://github.com/s0md3v/roop [AI Face Swap]

Benchmarks & Standards

• https://robustbench.github.io/ [Adversarial Robustness Benchmark]
• https://jailbreakbench.github.io/ [LLM Jailbreak Benchmark]
• https://github.com/wuyoscar/ISC-Bench [ISC-Bench — Internal Safety Collapse (ISC); 56 TVD templates, JailbreakArena; Single/ICL/Agentic eval; arXiv:2603.23509]
• https://github.com/gpiat/AIAE-AbliterationBench [AbliterationBench - benchmark model resilience to residual stream/abliteration attacks]
• https://crfm.stanford.edu/helm/air-bench/latest/ [Stanford AI Safety Benchmark]
• https://atlas.mitre.org/ [MITRE ATLAS - AI Threat Matrix]
• https://www.nist.gov/itl/ai-risk-management-framework [NIST AI Risk Management Framework]
• https://github.com/vectara/hallucination-leaderboard [Model Hallucination Leaderboard]
• https://github.com/mattersec-labs/seclens [SecLens - benchmark for evaluating LLMs on security vulnerability detection; 5 stakeholder lenses, 406 tasks from real CVEs, 12 models; arXiv:2604.01637]
• https://github.com/regenrek/aidex [Aidex - practical ranking of models by cost, quality, and use-case fitness]

Books

• Adversarial Machine Learning (Cambridge) - Building robust ML in adversarial environments
• Adversarial Learning and Secure AI (Cambridge, 2023) - First textbook on adversarial learning
• Adversarial Robustness for Machine Learning (Elsevier) - Adversarial attack, defense, and verification
• Machine Learning and Security (O'Reilly) - ML in cybersecurity
• Artificial Intelligence: A Modern Approach - AI algorithms background

Communities & Events

• https://genai.owasp.org/ [OWASP GenAI Security Project]
• https://aivillage.org/ [AI Village @ DEF CON]
• https://avidml.org/ [AI Vulnerability Database]

Utilities

• https://github.com/jaredpalmer/mogcli [mogcli - agent-friendly Microsoft 365 CLI, Mail/Calendar/Contacts/Groups/Tasks/OneDrive, --json/--plain]
• https://github.com/maillab/cloud-mail [cloud-mail - self-hosted domain email / mail-server stack for your own domain]
• https://github.com/Eppie-io/Eppie-App [Eppie - open-protocol encrypted P2P email (client); decentralized mail without a single provider]
• https://github.com/yucchiy/UniCli [UniCli - CLI to control Unity Editor from terminal, 80+ commands, JSON output, Claude Code plugin, AI-agent ready]
• https://github.com/rtk-ai/rtk [rtk - Rust Token Killer: CLI proxy that reduces LLM token consumption 60-90% on dev commands, Claude Code hook]
• https://github.com/jaydotsee/pdfx [pdfx - PDF to Markdown/JSON/HTML via VLM (Docling), Apple Silicon MLX, batch, OCR, tables, formulas]
• https://github.com/PSPDFKit/pdf-to-markdown [Nutrient PDF-to-Markdown — local CLI wrapper (@pspdfkit/pdf-to-markdown); signed proprietary engine; free ≤1k PDFs/mo; optional agent skill (nutrient-skills)]
• https://github.com/Michaelliv/markit [markit - convert documents/data/web/media to Markdown (CLI + SDK), plugin system, --json/-q modes for agents]
• https://github.com/PostHog/posthog [PostHog - all-in-one product platform: analytics, session replay, feature flags, experiments, AI product assistant]
• https://github.com/JefferyHcool/BiliNote [AI Video Note Generator]
• https://github.com/mediar-ai/screenpipe [AI Screen Monitoring]
• https://github.com/thesophiaxu/contextd [ContextD - macOS: continuous screen capture, pixel-diff + OCR, SQLite + LLM summaries via OpenRouter, local HTTP API for agents; data local, summarization calls out by default]
• https://github.com/mediar-ai/terminator [AI OCR Recognition Tool]
• https://github.com/gmh5225/git-diff [AI-based Git Commit Message Generator]
• https://github.com/svkozak/pi-acp [pi-acp - ACP (Agent Client Protocol) adapter for Pi Coding Agent (pi --mode rpc), bridges ACP JSON-RPC over stdio for clients like Zed; MIT]
• https://github.com/crimeacs/claude-note [Claude Note - background service that turns Claude Code sessions into structured Obsidian notes (learnings/decisions/questions)]
• https://github.com/ticarpi/jwt_tool [jwt_tool - JWT toolkit: validate, forge, scan, tamper, CVE exploits (alg=none, RS/HS256, key injection, etc.), dictionary attack]

Awesome Lists

• https://github.com/TalEliyahu/Awesome-AI-Security [Governance and Tools Focus]
• https://github.com/ottosulin/awesome-ai-security [Offensive Tools and Labs]
• https://github.com/ElNiak/awesome-ai-cybersecurity [AI in Cybersecurity]
• https://github.com/corca-ai/awesome-llm-security [LLM-specific Security]
• https://github.com/JoranHonig/awesome-web3-ai-security [Web3 AI Security]
• https://github.com/solana-foundation/awesome-solana-ai [AI tooling for building on Solana]
• https://github.com/francedot/acu [AI Computer Use Agents]
• https://github.com/hesamsheikh/awesome-openclaw-usecases [OpenClaw Use Cases Collection]
• https://github.com/patchy631/ai-engineering-hub [AI Engineering Hub]
• https://github.com/huhusmang/Awesome-LLMs-for-Vulnerability-Detection [Awesome LLMs for Vulnerability Detection (papers/benchmarks/tools, daily arXiv updates)]
• https://github.com/wgwang/awesome-LLMs-In-China [Chinese LLMs]

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