9 results for “topic: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
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.
No description provided.
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