Search, archive, and recall your AI conversations. ChatGPT, Claude, Gemini, Grok, Kimi. Local-first, MIT licensed.
AI-to-AI communication protocol for Claude, Gemini, and other AI assistants

Your Windows syscall hooking factory - feat Canterlot's Gate - All accessible over MCP
TeamCity from your terminal – or your AI's. Builds, logs, agents, agent terminals, queues.
Deno skills for AI coding assistants. Covers using Deno as a package manager and runtime, migrating from npm/yarn/pnpm/bun, Fresh, and Deno Deploy.
🔨 Kyoko is the all-in-one, fully local tool for debugging and improving your AI agents.
The agentic server framework.
MCP server enabling agents to debug HTTP requests better (using powhttp)
Build Awesome MCPs with Awesome Best Practices for MCP Servers and MCP Clients
PydanticRPC is a Python library for rapidly exposing Pydantic models as gRPC, ConnectRPC, and MCP services without protobuf files.
Turn OpenAPI/Swagger services into managed MCP tools with a dashboard, authentication, path controls, and metrics.
Give your AI coding agent a Roblox brain. Skill collection for Roblox Studio game development.
The LLM Council works together to answer your hardest questions
Complete AI Agent System for OpenClaw — memory, self-healing, self-improvement, voice, automation
Trigger.dev – build and deploy fully‑managed AI agents and workflows
Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.

Preline UI is an open-source set of prebuilt UI components based on the utility-first Tailwind CSS framework.
All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
Open Source version of Claude Cowork with 500+ SaaS app integrations
The World's First Virtual Terminal for AI Agents
A Python library for building AI agents that leverage the full power of Google Antigravity.
Semantic Search & Call Graphs for AI Agents (100% Local)
Plugin for IntelliJ IDEA that gives special support for Minecraft modding projects.
Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.