Axiom Agent Governance & MCP

Govern and Control
your AI Agents' Decisions.

Enforce deterministic constraints on autonomous agents, track critical trade-offs, and implement human-in-the-loop approvals. Reduce latency and API costs with secure decision caching.

The Workflow

Three steps to complete automation

1. Connect via MCP & API

Connect your IDEs like Cursor, Claude Desktop, or Gemini-powered run loops to Axiom using our open-source Model Context Protocol binary or REST API. Give your agents immediate access to secure, structured decision data.

2. Enforce Policies & Guardrails

Define criteria and elimination policies that agents cannot contradict. The system intercepts agent tool requests and checks them against locked constraints (like maximum budget caps or mandatory security standards) automatically.

3. HITL Approval & Caching

Every critical action triggers a human-in-the-loop (HITL) approval gate. Review proposed scores in Axiom's UI, while the decision registry caches choices to prevent duplicate LLM runs and dramatically reduce token costs.

Make your next big family decision with certainty.

Stop relying on pros and cons lists or 2:00 AM forum spirals. Use structured Must-Haves and weighted Criteria to make confident choices for your family.

Start Your First Family Decision