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

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.

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.

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.

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

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

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

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