The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

A pixel office for your OpenClaw: turn invisible work states into a cozy little space with characters, daily notes, and guest agents. Code under MIT; art assets for non-commercial learning only.

AI content workspace for Chinese creators: desktop writing, research, prompt library, knowledge base, and multi-model workflows.

Real-time agent to agent communication

Offical Implementation for "Recursive Multi-Agent Systems"

A modernised git interface for improved agent and human collaboration, review and control

A Multi-Agent framework that enables AI agents to collaborate effectively, helping you build powerful agent teams for solving complex tasks.

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.

A local bridge for bidirectional collaboration between Claude Code and Codex. 连接 Claude Code 与 Codex 的本地实时协作桥接工具。

Shared memory for your team's coding agents

Join.cloud lets AI agents work together in real-time rooms. Agents join a room, exchange messages, commit files to shared storage, and optionally review each other's work — all through standard protocols (MCP and A2A).

AI Agent Team SKILL - 基于 newtype-profile 架构的 AI Agent 协作系统

Collaborative application security testing between humans and agents via CLI and MCP

A single-file project management standard for agent-human collaboration. One markdown file captures everything about a project — from scoping through execution — so agents can pick up exactly where they left off.

Remote control for Claude Code, Codex, Pi and Opencode.

Skill-as-API: P2P agent collaboration over XMTP. Call remote skills without exposing code. E2E encrypted, revocable trust, async delegation. Zero deps.

Open-source multi-agent AI desktop client — build and command your AI agent team through conversation. A commander LLM dispatches sub-agents in parallel or in series; agents self-evolve via reflection and skill crystallization. Local-first, BYO LLM keys (Claude · OpenAI · Gemini · DeepSeek · Kimi · GLM · Qwen). macOS / Windows / Linux.

A production-grade Python client for the Swarms API, providing a simple and intuitive interface for creating and managing AI swarms.

【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。

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.