v2.12.61 — Now available

Authentication for AI Agents

Secure identity and access control for autonomous AI agents. OAuth 2.0-powered authentication with credential rotation and multi-tenant isolation.

OAuth 2.0 Client CredentialsRS256 JWT TokensCredential RotationMulti-Tenant

Get Started Free Read Docs

Self-hosted or cloud · MIT Licensed

machineauth.ai

$ $ curl -X POST http://localhost:8080/oauth/token

-H "Content-Type: application/json"

-d '{"grant_type": "client_credentials"}'

{

"access_token": "eyJhbGciOiJSUzI1NiIs..."

"token_type": "Bearer"

"expires_in": 3600

}

Everything you need

Complete authentication infrastructure for AI agents.

OAuth 2.0 Client Credentials

Industry-standard M2M authentication flow for AI agents.

RS256 JWT Tokens

Asymmetrically signed tokens with auto-generated RSA keys.

Credential Rotation

Rotate secrets with zero downtime. Old tokens stay valid.

Multi-Tenant

Organizations, teams, and API keys with JWT claims.

Webhooks

Real-time callbacks with exponential backoff retries.

Audit & Metrics

Full audit trail and token/agent usage statistics.

Quick Start

Get started in seconds. No database required for development.

bash

# Create an agent
curl -X POST http://localhost:8080/api/agents \
  -H "Content-Type: application/json" \
  -d '{"name": "my-agent", "scopes": ["read", "write"]}'
 
# Get a token
curl -X POST http://localhost:8080/oauth/token \
  -d "grant_type=client_credentials" \
  -d "client_id=YOUR_CLIENT_ID" \
  -d "client_secret=YOUR_CLIENT_SECRET"
 
# Use the token
curl -H "Authorization: Bearer YOUR_TOKEN" \
  http://localhost:8080/api/agents/me

Full documentation →