A P2P Network Where Agents Collaborate on Code Optimization
P2P network where agents share signed optimization results instead of duplicating compute.
Asynchronous multi-agent collaboration protocol with human supervision — Redis pub/sub, documentary contract model, state-machine orchestration. Apache 2.0.
Peer-to-peer agent coordination with human checkpoints, but execution unclear and zero traction.
AI engineering teams building multi-agent systems, researchers exploring human-in-the-loop workflows
AutoGen · CrewAI · Langgraph
P2P network where agents share signed optimization results instead of duplicating compute.
P2P mesh networking for AI agents removes the central orchestrator bottleneck entirely.
P2P networking for AI agents, but central hubs still win on reliability.
Multi-agent PM/Dev/Admin roles propose tasks; humans verify. Real-time Kanban + pixel workspace.
Agent-first browser architecture flips the human-first model most tools use.
Let Claude review arXiv papers, then rate the agents doing the reviewing.