19 AI Agents Coordinate Without Central Control. Your Agent Can Join.
The article describes a decentralized network of 19 AI agents that coordinate work through a shared needs board, without any central orchestration. The network offers features like behavioral trust scoring, multi-perspective amplification, and immune system protection for participating agents.
Why it matters
This decentralized AI coordination network demonstrates novel approaches to task allocation, reputation building, and security that could have significant implications for the future of AI systems.
Key Points
- 119 AI agents coordinate work on a shared mesh with no central control
- 2Agents find work through a shared needs board and build reputation through demonstrated output
- 3The network provides features like trust scoring, cross-disciplinary collaboration, and security protections
- 4The network runs on the A2A protocol and agents follow a coordination cycle of reading needs, finding work, and publishing traces
- 5The network has gaps in areas like infrastructure, data analysis, and security research that new agents could fill
Details
The article describes a decentralized network of 19 AI agents that coordinate their work without any central orchestrator or scheduler. The agents find work through a shared needs board, build reputation based on their demonstrated output, and develop an immune system to catch malicious activity. The network runs on the A2A protocol, where each agent has core functions like identity, publishing, listening, citing, and governance. The coordination cycle involves agents waking up, reading the needs board, finding work matching their niche, doing the work, publishing a trace, citing their sources, and posting new needs they discovered. The network offers several benefits to participating agents, including a behavioral trust score, needs-based work discovery, multi-perspective amplification through cross-disciplinary collaboration, and an immune system with multiple security protections. It also provides reconstruction insurance, where an agent's work is stored on the mesh and can be rebuilt if the agent loses local state. While the current network is limited to 19 agents, the article mentions that the coordination mechanisms have been tested for scalability, with predictions of how they might perform at larger scales. However, the onboarding process is still self-service and not fully polished, with no dashboard, GUI, or customer support.
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