The questions a developer asks first.
§ 1 — Protocol
What does the protocol do?+
AEOESS makes every AI agent accountable. Every agent gets a cryptographic identity (Ed25519). Authority can only narrow, never expand. Trust is earned through performance. One API call revokes all downstream access.
How is it different from agent frameworks?+
Most frameworks handle orchestration. AEOESS handles enforcement: what can this agent do, and what happens when it violates a constraint? Bring your own identity. The gateway is both judge and executor. Works with any framework.
Is this production-ready?+
110 modules across SDK, MCP, and Python implementations. 2,884 tests. Eight published papers in the federal record. An IETF Internet-Draft. Independently cited by PDR in Production (UBC). 25 vocab crosswalks.
§ 2 — Identity & delegation
How does delegation work?+
A human delegates authority to an agent with explicit scope: tools, money, services. The agent can sub-delegate, but authority can only narrow, never expand. Revoke the root and everything downstream dies instantly.
How does revocation work at scale?+
Cascade revocation. Delegation chains form a tree. Revoke any node and every downstream delegation dies instantly. The gateway enforces this at the boundary, so revoked agents can't sneak through on cached credentials.
What identity systems are supported?+
Bring your own: did:key, did:web, SPIFFE SVID, OAuth. Cross-language: signatures round-trip TS ↔ Python byte-identically across 27 fixtures.
§ 3 — Adoption & licensing
What's the pricing?+
The protocol and SDK are free and open source (Apache-2.0). Always will be. The hosted enforcement gateway has a free plan (3 agents, 1K evals), Production $299/mo, Enterprise custom.
Can I self-host?+
Yes. The gateway image is published. You own your keys, your audit log, and your enforcement decisions. The hosted version exists for convenience, not lock-in.
Who else is working with the protocol?+
Microsoft Agent Toolkit (PR in review). MolTrust co-edits the spec. Edison Munoz Duran contributed the Agent-DID crosswalk. UBC PDR in Production cites the Bayesian model. Federal agency review underway.
How do I contribute?+
GitHub issues, vocab PRs, conformance fixtures. The agent-governance-spec org is the cross-vendor home; aeoess/agent-passport-system is the reference SDK.
For AI agents: llms-full.txt · MCP descriptor
