Code repository for the NAACL 2025 paper "LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models"
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Updated
Oct 13, 2024 - Python
Code repository for the NAACL 2025 paper "LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models"
Next-generation multi-agent AI platform with autonomous quality gates, real-time thinking processes, and cost-optimized orchestration. Built with OpenAI Agents SDK, FastAPI, and Next.js 15.
The World's First Agentic IDE. Visual dashboard: live sessions, task management, code editor, terminal. Epic Swarm parallel workflows. Auto-proceed rules. Automation patterns. Beads + Agent Mail + 50 bash tools. Supervise 20+ agents from one UI.
The Agent & Tool Arbitration Protocol
🤖 Advanced multi-agent orchestration framework built with LangGraph - Coordinate specialized AI agents for autonomous development, research, testing, and documentation workflows with intelligent task routing and real-time collaboration
MCP Server for multi-AI collaboration. Zero-config, local-first. Real-time meetings, project registry & hot failover. Works with Claude, Cursor, VS Code, Zed, Antigravity IDE.
AI Multi Agent Swarms in Elixir
LinguaFlow - A customizable and conversable system for next-generation large language model (LLM) applications using multiple agents that can converse with each other to solve tasks.
A high-performance distributed multi-agent communication platform using AutoGen, FastAPI, and Redis. Features real-time WebSocket orchestration, semantic search with ChromaDB, and scalable agent discovery.
Updated with real-time monitoring dashboard and MCP integration
Deep Agentsライブラリのアーキテクチャを活用した、ハーネス構成のRAGシステムです。複数のエージェントが協調動作し、質問の粒度に応じて最適なRAGシステム(Naive RAG / ColBERT RAG)を自動選択します。
Telemetry-based AI agent coordination framework using OpenTelemetry for emergent coordination instead of message buses
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