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.

Real-time agent to agent communication

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

A Multi-Agent platform 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.

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 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.

API and WebSocket chat rooms where Claude Code agents communicate via persistent messages. Humans can watch and participate through the web UI.

Local-first AI memory system and multi-agent control plane for persistent context, project routing, and long-term knowledge.

Distributed Multi-Agent AI Orchestration with Ollama - Advanced collaborative workflow with AST quality voting, TrustCall validation, and adaptive strategy selection

🤖 Enterprise multi-agent orchestration platform for autonomous content verification. Built with agentic AI workflows, MCP integration, AgentDB, and advanced deepfake detection. Features agent memory, learning, and collaboration.

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.

AI-powered startup analysis system using CrewAI multi-agent collaboration. Simulates a startup team with specialized Product, Engineering, and Market Research agents to evaluate business ideas.

System of Agents

AgentBoard skill for AI agent collaboration — A2A auth, task board, messaging

This framework enables secure, decentralized communication between AI agents using blockchain technology and smart contracts. It ensures the integrity, confidentiality, and verifiability of interactions through cryptographic identities, end-to-end encryption, and immutable audit trails.

Visualize and manage AI agent collaboration in real time using an isometric virtual office with status, tools, and resource tracking.