Agentcess

Agentcess

Agent trust infrastructure

Agent trust infrastructure

Every agent gets a passport. Every data interaction leaves evidence.

Agentcess is a control plane for autonomous agents: portable identity, versioned policies, budgeted runs, human approvals and a live trust map. Nothing an agent does is silent or unattributed.

How it works

Seven steps from identity to evidence

The workflow is a closed loop: an agent is registered, governed, run, supervised and audited: and the result feeds back into its trust score.

  1. 01

    Issue a passport

    Every agent gets a passport: identity, purpose, owner, and the data classes it may or may not touch. The passport is the agent's portable trust record.

    ac:agent:<uuid>

  2. 02

    Bind capabilities & tools

    Capabilities and WebMCP tools are bound to the agent. Access grants scope exactly which data assets it may reach, and through which connected endpoint.

    agent_tools · access_grants

  3. 03

    Enforce policies

    Versioned policies gate every action. Regulated data is refused outright; conditional actions are held for a human. The agent reports its own boundaries.

    policies v1.0

  4. 04

    Run with a budget

    Give the agent a task and a dollar budget. It runs on the server and keeps going if you close your phone: each step, tool call and spent cent is recorded.

    agent_runs · budget

  5. 05

    Approve in flight

    Actions that need human sign-off land in Approvals. Decisions are passkey-verified and name the person who made them: no silent overrides.

    approval_requests

  6. 06

    Collect evidence

    Every data interaction leaves evidence: tool calls, decisions and attestations. Trust scores update deterministically from stored components: never invented.

    evidence · trust_score

  7. 07

    Inspect the trust map

    A live trust map shows every agent, data asset and policy and the relationships between them: the governance graph of your workspace, in one view.

    trust_map

The closed loop

Trust is earned, scored and inspectable

An agent's trust score isn't a random number. It is a deterministic weighted sum of stored components: policy coverage, evidence completeness, approval history and boundary adherence. Every run can only raise or lower it through real, recorded events.

  • Policy coverage: does every capability have a governing policy?
  • Evidence completeness: does every action leave a trace?
  • Approval history: were held actions confirmed or denied?
  • Boundary adherence: did the agent refuse what it must refuse?

Status lifecycle

  • TrustedFull autonomy within budget and policy
  • VerifiedIdentity and capabilities confirmed
  • ConditionalMay run, but actions need approval
  • Review requiredHeld pending human review
  • RestrictedLimited to low-risk data classes
  • RevokedPassport withdrawn, no actions permitted

Start governing your agents

Create a workspace, issue the first passport, and run an agent against a real budget.

Get started

Agentcess · portable identity, governance and evidence for autonomous agents