A Package Manager for the AgentSkills standard. Discover, Use, and Create AgentSkills with Claude Code, Codex, Gemini CLI, OpenCode and more
🦖 Serverless AI Agent Framework with Geo-distributed Edge AI Infra.
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs
The LLM Council works together to answer your hardest questions
Learn AI and LLMs from scratch using free resources
The World's First Virtual Terminal for AI Agents
A Python library for building AI agents that leverage the full power of Google Antigravity.
Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
A skill library that teaches Claude Opus the working disciplines of Claude Fable 5. Move the checkpoints, not the capacity.
From thought to skill. From signal to structure.
Web Graphical User Interface (GUI) for Gas Town multi-agent orchestrator - A companion interface for steveyegge/gastown
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
Autoharness — a self-learning skill layer for Claude Code — distills skills from your real sessions, updates them as you work, and prunes the ones that stop getting used. No daemon, no benchmark.
turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

OWASP Foundation web repository
An Automated AI Agent Tool for Plotting Your Data in Any Paper's Figure Style.
AI agents and Nix: parametrable skills/instructions and tools, packaged together in a reproducible and modular fashion
docx ↔ LLM translator. Projects .docx office files to Markdown for editing. Projects edits back to OOXML as tracked changes (redlines). Python and Node.js implementations.
Compiles AI agent traces and truns them into reusable context.
MCP server for spatial transcriptomics analysis through natural language interfaces.
Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents
A collection of AI agent skills for Clawdbot, Claude Code, Codex
Plan-then-build AI coding for Claude Code & Codex CLI — you approve the plan before the model writes a line of code. SPEC → PLAN → TEST → CODE → REVIEW → LEARN
Run a task with AI as a flow of steps you keep, reuse, and refine, not a one-off chat.