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What you can do with Agent Foundation

Agent Foundation (a13n) is an open-source, self-hosted library and platform for building and running your own AI agent systems, with managed agents, memory, sandboxes, computer use, and durable execution.

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converge-ai-labs/agent-foundation on GitHub

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Authorization notice. This tool is dual-use. Only use it on software, sites and systems you own or have explicit permission to test, and follow the relevant licenses and terms of service.

What do you want to do?

4 use cases

  • Run your own agent service and try an agent

    Start a self-hosted agent service with Docker Compose and send a first message.

    View prompt
    In the agent-foundation repo (converge-ai-labs/agent-foundation), follow the Docker Compose steps in the README to start the Service stack in an empty <target-directory>. Report the Console URL and confirm that the containers reported healthy by `docker compose` came up without errors.

  • Embed reusable agents in your own application

    Install the Harness library from source and start its quickstart.

    View prompt
    In the agent-foundation repo, clone it, run `uv sync --locked --package a13n-harness`, and report the sync result. Then list the runnable examples in examples/README.md that use the Harness package and name one that fits <your-application-type>.

  • Try an agent on your own project in a terminal

    Install Harness UI and run its terminal agent inside a repository.

    View prompt
    Install a13n-harness-ui with `uv tool install a13n-harness-ui`, then run `a13n-harness-ui` inside <your-repository>. Report the model you connected and the execution permission you chose, and confirm the agent can read one file you name.

  • Review agent failures and approve proposed fixes

    Inspect execution evidence in Findings and ask Composer for a reviewed change.

    View prompt
    In the agent-foundation Service Console, open Findings and list the diagnoses with status for <agent-name>. Pick one, summarize its cited evidence, and confirm that no change was published before you review it.

How to use Agent Foundation

  1. Check you have what it needs: Docker with Docker Compose for the self-hosted Service stack; A model provider API key or an eligible ChatGPT plan; Python 3.13 and uv for the Harness library or Harness UI.
  2. Open converge-ai-labs/agent-foundation on GitHub and read the README and license.
  3. mkdir a13n-service
  4. cd a13n-service
  5. curl -fL https://raw.githubusercontent.com/converge-ai-labs/agent-foundation/main/deploy/docker/compose/a13n-service.yaml -o a13n-service.yaml
  6. docker compose -f a13n-service.yaml up -d --wait --pull always

These steps come from our top use case, Run your own agent service and try an agent, which also has a copy-paste agent prompt.

Agent Foundation alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • Docker with Docker Compose for the self-hosted Service stack
  • A model provider API key or an eligible ChatGPT plan
  • Python 3.13 and uv for the Harness library or Harness UI
  • A trusted machine, since Harness UI Full Control runs as your host account
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Questions about Agent Foundation

What is Agent Foundation?

Agent Foundation (a13n) is an open-source, self-hosted library and platform for building and running your own AI agent systems, with managed agents, memory, sandboxes, computer use, and durable execution. It is an open-source project on GitHub: https://github.com/converge-ai-labs/agent-foundation.

Who is Agent Foundation for?

Developers and platform teams who want to run agents on their own infrastructure and embed them in their own applications.

What can I do with Agent Foundation?

4 use cases so far, for example: Run your own agent service and try an agent; Embed reusable agents in your own application; Try an agent on your own project in a terminal. Each has steps and a copy-paste agent prompt.

What do I need to run Agent Foundation?

Docker with Docker Compose for the self-hosted Service stack; A model provider API key or an eligible ChatGPT plan; Python 3.13 and uv for the Harness library or Harness UI; A trusted machine, since Harness UI Full Control runs as your host account.

What are alternatives to Agent Foundation?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Agent Foundation 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.