
Allow, ask or deny for every agent action, with a named person for what matters.
One policy written in Govern, compiled for each agent engine, signed, and enforced on the developer's machine by the endpoint agent and on the server by Govern's gateways.
- Effects
- Allow, ask or deny
- Covers
- Shell, files, network, git, packages, MCP tools, models
- Delivery
- Ed25519-signed manifest
- Approvals
- One inbox, never your own request
- Templates
- Eight sector templates
Overview
Agent policy decides what coding agents may do on a developer's machine or in a sandbox: which commands they run, which files they read and write, where they connect, what they push and install, which hooks run, and which MCP tools and models they use. You write one policy. Govern compiles it for each engine and signs it; the endpoint agent enforces it locally, and the model and MCP gateways enforce the model and tool rules on the server.
What it does
What agent policy and approvals do.
Rules, defaults, approvals and delivery, with a record of every decision.
How it works
From a written rule to a recorded decision.
- WriteRules and defaults for the organisation, teams and projects, or a sector template to start from.
- PreviewThe effective policy and compiled files for one person, project and engine, with every gap listed.
- SignGovern compiles the policy for each engine and signs the manifest.
- EnforceThe endpoint agent verifies the manifest and decides every action on the machine.
- ApproveAn ask with named approvers waits for one of them in the approvals inbox.
- RecordThe decision, its rule and its approval go to the decision log.
Who uses it
Built for every role that answers for AI.
Enforced and recorded
Where agent policy holds, and what it leaves behind.
Local actions are enforced by the endpoint agent where it runs. Model and MCP rules are also enforced on the server.
Enforced
Recorded
Rules over shell commands reduce what an agent can reach; they are not an isolation boundary, and a program a rule allows can do anything it is able to do. How far policy reaches inside a third-party tool depends on the tool. Automatic escalation and auto-rejection of approvals are partial; test them before you rely on them.
Get started
Set it up with the documentation.

Talk to our team.
Neural Inverse is available by request. We work with your engineering, security and procurement teams from the first conversation.