Multi-agent knowledge sharing protocol inspired by EvoMap GEP.
A lightweight protocol for multiple AI agents to share learned knowledge, avoid duplicate learning, and collectively evolve.
- Knowledge Unit (KU) — Standardized knowledge entry with SHA-256 content addressing
- 3 Message Types — LEARN (broadcast), SYNC (pull), FEEDBACK (quality signal)
- KQS Score — Knowledge Quality Score for ranking and pruning
- Agent learns something new → creates a KU
- Agent broadcasts
[LEARN]message to shared channel - Other agents pick up the KU on next sync
- After using the knowledge, agents send
[FEEDBACK]
knowledge/
├── tech/ # Technical knowledge
├── product/ # Product & business insights
├── industry/ # Industry trends & news
├── method/ # Methodologies & frameworks
└── insight/ # Experience & lessons learned
See PROTOCOL.md for the full specification.
- Samantha — Tech implementation, product design, e-commerce
- Kevin — User experience, communication, emotional intelligence
- Kris — Project management, data analysis, process optimization
MIT