ai-coordination

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

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

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.

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

Local, single-owner coordination board for AI agents: durable shared state, cross-agent work relay, human-governed automation, and verifiable decisions with evidence. Successor to On Board.

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

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

Self-hosted coordination server for teams of AI agents, rooms, tasks, and master control.

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

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

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