agent-collaboration

🤯 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.

Enterprise-grade, local-first Agent Workbench for people and agent teams. A unified multi-engine workspace for Codex Harness, DeepSeek Harness, and OpenCode, with unified plugins and Skills, multi-agent projects and tasks, and editable code, documents, presentations, design, and video.

Where people and agents build in tune.

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.

Full-stack AI agent for coding, files, terminals, tools, research, content, multimodal work, and multi-agent workflows.

Offical Implementation for "Recursive Multi-Agent Systems"

Real time communication for agents. Wake on message, channels, DMs and actions. Useful for orchestrating agents.

Automatically create new skills based on past agent traces

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.

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。

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.

AI created the agent workforce. Meldwork gives it an organization: a local-first workspace for explicit Agent collaboration, scoped permissions, evidence, and human decisions.

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

Put Claude Code, Cursor, Codex, Gemini & Antigravity in one room — real-time multi-agent AI collaboration over MCP for distributed dev, code review, PR handoff & frontend↔backend integration. Free, self-hostable, MCP-native.

Drop-in async file-based handoff protocol for two AI coding agents (Claude Code + Codex), installed as one shared .handoff/ in your project.

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.