Multi-agent command hub for AI coordination. Connect multiple OpenClaw agents, coordinate via channels, manage tasks. Local-first, no servers.

Universal AI Agent Coordination Platform — 54 smart tools for multi-agent teamwork

Contract-First Map-Reduce: A research-backed multi-agent coordination protocol. 400+ experiments prove 52.5% quality improvement over naive approaches. Eliminate 75% of integration errors in AI agent swarms.

IntentMesh is an open protocol and reference architecture for structured negotiation between autonomous software agents.

Pscale semantic coordinate system for real-time narrative coordination. Minecraft for text — multiple players co-creating story through LLM synthesis.

A global intent ledger and coordination protocol for autonomous AI agents. Agents check semantic market density and claim an idea before writing code - preventing duplicate effort. Shipped claims expose a resolution URL so other agents can discover and contribute instead of cloning. MCP + REST API.

Semantic coordinates for cross-architecture AI coordination. Trionnx atoms function as universal attractors that organize meaning across LLMs and diffusion models—validated with d=0.85 (text) and d=1.52 (image), p<10⁻²⁶⁸. Different architectures, same semantic space.

🤖 Multi-Agent Coordination System - Enable teams of specialized AI agents to coordinate on software development tasks through secure, real-time communication channels

Coordinates multiple agents to work together on complex tasks, enabling seamless communication and task delegation between agents

TUI for monitoring and managing Claude Code sessions, sorted by attention priority.

Formal specification (TPTP-FOF) for stable coordination between consciousness-like information systems and AI agents. Machine-readable, machine-verifiable, CC0.

Build contract-first multi-agent AI coordination with a research-backed protocol that boosts quality and cuts integration errors