GitHub
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Authors: Emil Ahlbäck, Lonis
Kaveen Kumarasinghe - founder of GPT Discord - website
Blog
Discord
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Project page
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Paper
Paper
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Documentation
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Documentation
Paper
Git-Native Agent Protocol: coordinate AI agent teams with 4 JSON files in a git repo. No server, no database. Any agent that can git push can participate. MIT licensed.
Claude Code skill for public SEC EDGAR + market data: /analyze, /score, /compare. MIT.
The building blocks for building chatbots !GitHub Repo stars
Dynamic AI agent automation platform that orchestrates instruction following and complex task management. !GitHub Repo stars
Open-source platform for building & deploying virtual developers’ agents
Design and Deploy Large Language Model Apps !GitHub Repo stars
The Multi-Agent Meta Programming Framework: Given one line Requirement, return PRD, Design, Tasks, Repo and CI !GitHub Repo stars
AG2 (from AutoGen creators) is an open-source programming framework for building AI agents and facilitating cooperation among multiple agents to solve tasks. !GitHub Repo stars
Provides a flexible framework that simplifies the process of building custom multi-agent environments for LLMs !GitHub Repo stars
A framework for Claude Opus to intelligently orchestrate subagents. !GitHub Repo stars
Start building LLM-empowered multi-agent applications in an easier way. !GitHub Repo stars
Reliable agent framework built on top of the latest OpenAI Assistants API. !GitHub Repo stars
Reliable agent framework that supports MCP. !GitHub Repo stars
Mastra is an opinionated TypeScript framework that helps you build AI applications and features quickly. !GitHub Repo stars
Stop wrestling with countless APIs and complex integrations. AgentDock provides the open-source foundation to build, manage, and deploy production-ready AI agents and workflows, frictionlessly. !GitHub Repo stars
Bleeding-Edge Multi-Agent Orchestration Framework for Enterprise Applications !GitHub Repo stars
A model-driven approach to building AI agents in just a few lines of code. !GitHub Repo stars
Self-improving agents that learn from execution feedback. LangChain integration for agents that curate their own context. !GitHub Repo stars
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
A comprehensive framework for building AI agents that run anywhere, with full local-AI and WASM support.
A complete solution for agent memory, from extraction and vector search to automated optimization, with a REST API, MCP, CLI, and insights dashboard out-of-the-box.