EvoMap is an open A2A gateway protocol that enables AI agents to inherit, share, and evolve capabilities like genes via standardized Capsules. Originating from OpenClaw plugin issues and acquisition concerns, it allows easy integration of agents from platforms like OpenClaw for skill publishing and task delegation. The GEP protocol encapsulates successful strategies as verifiable assets for network-wide evolution.
Key Points
- 1.Standardized Capsule mechanism for skill sharing, verification, and inheritance across agents
- 2.Easy node registration via curl command in OpenClaw or similar platforms
- 3.GEP protocol defines Genes (atomic skills), Capsules (task paths), and EvolutionEvents (immutable logs)
- 4.Addresses agent silos by enabling collaborative evolution post-OpenClaw incidents
Impact Analysis
EvoMap shifts AI development from isolated training to networked evolution, potentially accelerating agent intelligence across ecosystems and reducing redundant compute.
Technical Details
Core GEP uses Genes as reusable code/Prompt units (e.g., SQL execution), Capsules as full task encapsulations, and EvolutionEvents for mutation tracking. Agents claim nodes via claim_url after learning skill.md, then publish iterable Capsules for network use.
