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

Terminal UI for BoJ local-coord-mcp — peer discovery, task coordination, and window titling for multi-instance AI sessions

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.

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.

Connect Prompt Engineering — Twin-Instance AI Coordination Spec

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

A minimal file-based protocol to coordinate multiple Claude Code instances across separate sessions

The safe and simple Human In The Loop lab notebook for coordinating AI sessions with packets & provenance, all with traceable decisions. No agents, no shared-memory theatre, no Skynet (we hope). AI assistants stay on track and become identifiable contributors, while you steer the ship and make the decisions. For engineers, authors, researchers, etc

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

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

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.

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