The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.

Catch dangerous AI agent skills before they catch you. Zero-dependency security scanner for Agent Skills, SKILL.md and MCP configs.

OMP-native pstack and orchestration skills for multi-agent coding workflows

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.

Touhou-inspired Agent Skills: distinct, testable, composable problem-solving workflows.

A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.

Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.

Composable agent runtime with enforced isolation boundaries

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps

The IM for agents. Shared Agent Context & Memory, supervised execution, and cross-agent audit across AI providers.

Agent skills for LandingAI's Agentic Document Extraction (ADE) — production-ready document AI for agentic coding assistants

Practical Agent Skills — English-for-engineers coaching, Pi Agent setup, and more. Install via npx skills add.

Self-hosted agent OS with skills, workflows, MCP, and second brain storage.

Open-source AI coding agent and agent runtime: one binary, any model, MCP-native. Runs in terminal, CI, or as a daemon.

Claude Code plugin that picks and implements the right payment method for your app — from your terminal. 42 providers, 136 payment rails, and deterministic validators that block insecure payment code as it is written.

AI agent skills for Basecamp

An evaluation and evolution tool for Agent Skills.

Rome is the agentic OS.

A framework for discovering, compiling, and validating reusable skills for scientific agents.

Open-Source Platform for Subagents and Agent Teams. Long-running, collaborative, proactive.

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Orchestrate AI coding agents (Claude Code, Codex) as parallel subagents over tmux — a loop-engineering runtime with auto-continue, execute-then-review, and cross-session memory.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.