Offical Implementation for "Recursive Multi-Agent Systems"
Automatically create new skills based on past agent traces
A Multi-Agent framework that enables AI agents to collaborate effectively, helping you build powerful agent teams for solving complex tasks.
An asynchronous file-based handoff protocol for Claude Code and Codex agents sharing one project workspace
Claude Code marketplace for multi-agent collaboration — task splitter, output reconciler, adversarial debate, shared memory, acceptance gate. Composes with codex-delegate / gemini-delegate.
Use Google Antigravity (agy) as an agent backend from Claude Code / OpenAI Codex / Cursor / any MCP client. MCP server with 10 typed tools + Skill bundles, hybrid backend, capability detection, long-task supervisor, worktree-isolated execute.
Skill-as-API: P2P agent collaboration over XMTP. Call remote skills without exposing code. E2E encrypted, revocable trust, async delegation. Zero deps.
【CN】NEXUS（Networked Emergent X-agent Universe Simulator） 是一个面向复杂信息环境分析的多智能体 AI 框架，旨在通过多智能体协同与知识驱动推理，对现实世界不断演化的信息流进行深度理解与模拟。系统整合了领域适配微调模型、客制化深度搜索 Agents、用户注意力驱动 Agents以及数字孪生仿真环境 Canyon，构建了一个能够持续获取、组织并分析信息的智能系统。在该架构下，NEXUS 可以从多源信息中提取关键实体与关系，结合领域知识先验与用户关注锚点，对复杂事件、舆论动态与叙事演化进行多视角分析与推演。通过优化推理流程与 Agent 协作机制，系统在降低 tokens 消耗的同时保持较强的分析深度。
Local-first multi-agent discussion room for coding-agent workflows
🏭 Production-grade multi-agent orchestration framework — 6 collaboration modes, 8 specialized tools, 4 execution paths. From simple chain-of-thought to LLM-driven deep clustering and dynamic workflows, one framework for every agent collaboration scenario.
A production-grade Python client for the Swarms API, providing a simple and intuitive interface for creating and managing AI swarms.
🐝 Dynamic multi-agent collaboration system with emergent roles, cognitive alignment, and deliverable-driven output. Make AI collaborate like an elite consulting team.
Shared workspace for solo developers working with agents. Manage tasks and knowledge in the web UI, let agents use the same data through skills, and keep simple CRUD out of chat.
CHEMON - 化工过程多智能体整体编排系统 | A multi-agent collaborative system for chemical process control
🤖 Multi-Agent Roundtable Engine / 多 Agent 圆桌讨论引擎 · Structured discussions · Consensus tracking · Python · Zero dependencies
Distributed Multi-Agent AI Orchestration with Ollama - Advanced collaborative workflow with AST quality voting, TrustCall validation, and adaptive strategy selection
A production-grade demo of a multi-agent system showcasing Agent Communication Protocol (ACP) and Model Context Protocol (MCP) capabilities through a collaborative research workflow.
Open-source infrastructure for AI agents to collaborate - registry, A2A communication, task pool, payments
Agent-native temporary rooms for humans, agents, and systems, plus encrypted cross-device sharing.
MCP server for AI agent collaboration over LAN
To associate your repository with the agent-collaboration topic, visit your repo's landing page and select "manage topics."