docker-agent

docker-agent is an agent builder and runtime that lets people create and run AI agents from a YAML config file for teams who need multi-step help without writing code.

What it is good for

  • Building a team of AI agents that hand off tasks to each other
  • Connecting AI agents to outside tools and data sources
  • Running AI agents with cloud or local language models
  • Sharing a ready-made agent with others through a registry

At a glance

Who it is for
Setup
Guided command-line setup

Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.

Cost
Free and open source
Type
Agent builder or no-code platform
Tasks
Works with
Docker Desktop, Homebrew, OpenAI, Anthropic, Google Gemini, Docker Model Runner

Momentum

Rank this week
Not ranked (last #20, week 41, 2026)
Best rank
#20 week 41, 2026
GitHub stars
4,647

GitHub numbers as of Nov 2, 2026. Updated weekly.

3,232 3,992 4,752 Sep 24, 2026 Nov 2, 2026
GitHub stars for docker-agent: 3,337 on Sep 24, 2026, 4,647 on Nov 2, 2026. Source: GitHub.

On Hacker News

Ranking history

First ranked in week 41, 2026.

Questions

Is docker-agent free?
Yes. It is free and open source (Apache-2.0 license).
Do I need to know how to code to use docker-agent?
You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
What does docker-agent work with?
According to its own documentation, it works with Docker Desktop, Homebrew, OpenAI, Anthropic, Google Gemini, and Docker Model Runner.
What is docker-agent good for?
Building a team of AI agents that hand off tasks to each other, connecting AI agents to outside tools and data sources, running AI agents with cloud or local language models, and sharing a ready-made agent with others through a registry.

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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.