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Agent Security & Sandboxing

OpenA2A AIM (Agent Identity Management)

OpenA2A AIM is an identity and access-management layer for AI agents. Its Python SDK registers agents with cryptographic identities and capabilities; protected function calls are signed, checked against grants and organization policies, and recorded in an audit log.

Independent OpenViST project profile, based on linked sources.

OpenA2A AIM (Agent Identity Management) — OpenViST project profile in Agent Security & Sandboxing.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use AIM when an agent service needs a separate identity and capability checks for actions, with organization-level enforcement and an audit record of outcomes.

Who it is for

  • Teams building AI-agent services that need distinct identities for non-human agents.
  • Developers who want capability checks around protected function calls.
  • Administrators who need to verify agents, set enforcement modes and review action outcomes.

Documented uses

  • Register an agent and assign the capabilities it holds.
  • Require a specified capability before an agent can invoke a protected function.
  • Record authorized and denied action outcomes in an audit log.
  • Choose how the organization handles unverified agents through monitoring or strict enforcement.
Before you choose

Requirements & limits

The project is open source under Apache-2.0. The README documents login to AIM Cloud using an OAuth 2.0 device flow and login to a self-hosted server; it does not establish pricing.

  • The documented quick start uses a Python SDK, while the repository identifies Go as its primary language.
  • Agents begin in a pending state and require administrator verification; strict mode denies their calls until verified.
  • A new organization starts in monitoring mode, where an unverified agent’s call may run and generate an alert.
  • The documented local development stack uses Docker Compose with PostgreSQL, Redis, backend and frontend services.
  • Refresh-token revocation depends on Redis being configured and available.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Register an agent and authorize a protected function

Use the Python SDK to register an agent with a capability and protect a function call with that capability.

Before you start

  • Python and the aim-sdk package; the README shows installing aim-sdk[rich].
  • Access to AIM Cloud or a self-hosted AIM server.
  • An administrator who can verify the pending agent in the dashboard.

Steps

  1. Install the SDK with pip install "aim-sdk[rich]".

  2. Run aim-sdk login for AIM Cloud, or aim-sdk login --url http://localhost:8080 for a self-hosted server.

  3. In Python, create an agent with from aim_sdk import secure and agent = secure("my-first-agent", capabilities=["db:read"]).

  4. Have an administrator verify the pending agent in the dashboard, then decorate a function with @agent.perform_action(capability="db:read") and call it.

Expected outcome

The agent is registered with the db:read capability, and calls to the decorated function are checked against the agent’s granted capabilities and organization policies, with outcomes recorded in the audit log.

Guide limitations

  • The agent begins pending; strict-mode organizations deny its calls until an administrator verifies it.
  • A capability not granted to the agent is denied before the protected function runs.
  • A new organization starts in monitoring mode, where an unverified agent’s call may run and raise an alert.
Source-based practical guide

Start the documented minimal local development stack

Generate local development secrets, start the minimal Docker Compose services, and check the backend health endpoint.

Before you start

  • A local checkout of the repository.
  • Docker Compose.

Steps

  1. Run ./scripts/gen-dev-secrets.sh > .env for one-time secret generation.

  2. Run docker compose up -d postgres redis backend frontend.

  3. Run curl -fsS localhost:8080/health.

Expected outcome

The documented PostgreSQL, Redis, backend and frontend services are started, and the health endpoint is queried.

Guide limitations

  • The documented command starts the minimal development stack, not the additional services in the full Docker Compose configuration.
  • The README does not specify deployment guidance for production.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
13 October 2026
Original website title
opena2a-org/agent-identity-management · Official homepage title · retained in its source language