💾 MOI: agent-agnostic generative UI workspace. Give your agent a skill and let it build software around itself.

Every past session, subagent, and workflow -- queryable by your agent, browsable by you

Official agent skills from Black Forest Labs for FLUX image and video generation — prompting guides and API integration patterns for Claude Code, Codex, and any agentskills.io-compatible agent.

Minimal AI coding agent (~1,000 lines of Python) inspired by Claude Code. Works with any LLM. Think NanoGPT for coding agents. Formerly NanoCoder.

"Vibe-Trading: Your Personal Trading Agent"

Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.

🤖 Create agentic apps in a second with your prompts. Everything you need to create an LLM Agent - tools, prompts, frameworks, and models - all in one place.

250+ real-world TypeScript AI projects: workflows, agents, and multi-agent systems with production-ready architecture, not chatbot demos.

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

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

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

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.

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.