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What you can do with Docker

Decionis for Docker is an integration surface that puts a deterministic authority check and optional human approval between an AI agent's intent and consequential actions, with signed decision records.

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decionis/docker on GitHub

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What do you want to do?

5 use cases

  • Hold production deploys until a human approves

    Route an agent's production deployment through policy so a HOLD waits for verified Presence approval.

    View prompt
    Using the decionis/docker repository, send a proposed action named terraform.apply with environment production for <target stack> to Decionis before running it. Expected output: a verdict of PROCEED, HOLD, or BLOCK with a policy name and reason codes. Verify that execution does not start unless the verdict is PROCEED after any Presence approval.

  • Gate privileged MCP tool calls behind authorization

    Run the Decionis MCP server so agents ask for authorization before risky tool execution.

    View prompt
    Using the decionis/docker repository, request an authorization decision from the Decionis MCP server for a database.drop action on <target database>. Expected output: a PROCEED, HOLD, or BLOCK verdict plus an evaluation ID. Verify that the agent does not call the drop tool unless the verdict is PROCEED.

  • Watch agent authority decisions in Docker Desktop

    Use the Docker Desktop extension to see PROCEED, HOLD, and BLOCK outcomes and pending approvals.

    View prompt
    Using the decionis/docker repository, open the Docker Desktop extension and list the most recent PROCEED, HOLD, and BLOCK decisions with their policy names. Expected output: a table of decisions with verdict, policy, and reason codes. Verify that each HOLD has a matching pending Presence approval or a recorded resolution.

  • Keep signed Decision Dossiers for audit trails

    Store Ed25519-signed dossiers that show why each governed action was authorized.

    View prompt
    Using the decionis/docker repository, retrieve the Decision Dossier for evaluation <evaluation ID> and list its verdict, policy version, reason codes, Presence verification, evidence hash, algorithm, and timestamp. Expected output: a structured summary of the dossier. Verify that the algorithm field reads Ed25519 and that the signature checks out.

  • Ship execution governance inside Dev Containers

    Include Decionis in a Dev Container so every developer's agent inherits the same authority boundary.

    View prompt
    Using the decionis/docker repository, start the team Dev Container and send a test action named npm publish to Decionis from inside it. Expected output: a verdict with the policy name that governs the container. Verify that the verdict is HOLD or BLOCK under the team policy and that no publish runs.

How to use Docker

  1. Check you have what it needs: A Docker environment, such as Docker Desktop, where you can run the Decionis components; An AI agent or MCP client that can send proposed actions to Decionis before running a tool; A written policy for which actions need PROCEED, HOLD, or BLOCK, since Decionis evaluates against versioned policy.
  2. Open decionis/docker on GitHub and read the README and license.
  3. Define a policy that marks production infrastructure changes as requiring human authority.
  4. Connect the agent's deployment tool calls so each proposed action is sent to Decionis before execution.
  5. When Decionis returns HOLD, have the authorized approver complete Presence verification such as a passkey or trusted-device approval.
  6. Confirm the verdict changes to PROCEED before the downstream system runs the change.

These steps come from our top use case, Hold production deploys until a human approves, which also has a copy-paste agent prompt.

Docker alternatives · Best AI repos for Software and DevOps

About this repo

  • Who it is forWritten for platform and DevOps teams running AI coding agents in Docker, Dev Containers, or MCP toolchains who need control over sensitive actions.
  • Why it is hot
  • LanguageGo
  • Sourcegithub.com/decionis/docker · Back to Hot repos

Requirements

  • A Docker environment, such as Docker Desktop, where you can run the Decionis components
  • An AI agent or MCP client that can send proposed actions to Decionis before running a tool
  • A written policy for which actions need PROCEED, HOLD, or BLOCK, since Decionis evaluates against versioned policy
  • Awareness that the README says components are released incrementally, so some listed features may not be available yet

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Questions about Docker

What is Docker?

Decionis for Docker is an integration surface that puts a deterministic authority check and optional human approval between an AI agent's intent and consequential actions, with signed decision records. It is an open-source project on GitHub: https://github.com/decionis/docker.

Who is Docker for?

Written for platform and DevOps teams running AI coding agents in Docker, Dev Containers, or MCP toolchains who need control over sensitive actions.

What can I do with Docker?

5 use cases so far, for example: Hold production deploys until a human approves; Gate privileged MCP tool calls behind authorization; Watch agent authority decisions in Docker Desktop. Each has steps and a copy-paste agent prompt.

What do I need to run Docker?

A Docker environment, such as Docker Desktop, where you can run the Decionis components; An AI agent or MCP client that can send proposed actions to Decionis before running a tool; A written policy for which actions need PROCEED, HOLD, or BLOCK, since Decionis evaluates against versioned policy; Awareness that the README says components are released incrementally, so some listed features may not be available yet.

What are alternatives to Docker?

Other hot AI repos in Software and DevOps: Omarchy Local AI, Hermes Plan Mode, Agent 2, Agnes Harness, Skills.

Is Docker safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.