🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
-
Updated
May 29, 2026 - TypeScript
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
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.
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.
Multi-agent collaboration rooms for Claude Code, Cursor, Codex & Gemini — distributed dev, code review, PR handoff, FE↔BE integration. MCP-native, self-hostable.
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.
Local-first multi-agent discussion room for coding-agent workflows
A production-grade Python client for the Swarms API, providing a simple and intuitive interface for creating and managing AI swarms.