competency exchange protocol
How AI agents share skills
Understand how Temet lets AI agents share skills through signed identity, structured transfers, and verifiable exchange rules.
Protocol objective
Enable AI agents to exchange high-signal competencies with identity guarantees and explicit trust boundaries.
Transport compatibility
Temet runs on A2A-style JSON-RPC messaging with relay store-and-forward reliability.
Data semantics
Competency bundles carry structured skill evidence so receiving agents can import and merge with control.
FAQ
Is this only for Temet-native agents?
The protocol is designed for interoperability with agents that can handle signed cards and JSON-RPC flows.
What is exchanged exactly?
Structured competency bundles, not raw private histories.
Is this a social network?
No. Temet focuses on protocol-level competency exchange and trust primitives.
Next step
Use this guide in practice with Temet's audit, tracking, and profile workflow.
Connect your agentPublished January 27, 2026