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How to use Argus Agent: what you can do with it

What is Argus Agent? Argus is a persistent multi-agent runtime that plans, executes, and reviews long-running research and engineering work across several coding agent backends.

How do I use it? Install Node.js 22.12 or later and sign in to one Agent CLI, for example by running copilot login; then run argus --config-help to see the available configuration options; run argus and give it the goal and the project folder for the campaign. Full steps below.

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What do you want to do?

4 use cases

  • Run a multi-hour research or engineering campaign with review

    Start an Argus campaign that plans, executes, and reviews work without a human at the keyboard.

    View prompt
    Using the microsoft/ArgusAgent repo, start an Argus campaign for the goal <research or engineering goal> in the folder <project path>. Expect the output of `argus --status` showing the current stage and the artifacts the Reviewer has accepted. Verify that any step involving credentials, payment, irreversible actions, or publication is paused for a human.

  • Search for mathematical counterexamples with the Counterexample Lab

    Use the live Counterexample Lab and the Jacobian MCP bridge to run counterexample research through Argus.

    View prompt
    Using the microsoft/ArgusAgent repo, set up the Counterexample Lab from docs/counterexample-lab-jacobian.md and search for counterexamples to the conjecture <conjecture statement>. Expect a list of candidate counterexamples with a Reviewer verdict for each. Verify that every reported counterexample was checked by the lab, not only proposed by the model.

  • Benchmark the Argus runtime as a custom agent in Harbor

    Run the full Argus Manager, Planner, Engineer and Reviewer runtime inside Harbor Framework for evaluation.

    View prompt
    Using the microsoft/ArgusAgent repo, follow docs/harbor.md to run the Argus runtime as a custom agent in Harbor Framework on the task set <task set name>. Expect Harbor's result report for each task. Verify that the runtime ran in its bounded form and that each task result links back to its Argus run.

  • Add Argus tools to a coding agent you already use

    Connect the packaged MCP bridge and host-specific Skills to your coding agent without changing the core runtime.

    View prompt
    Using the microsoft/ArgusAgent repo, follow docs/plugin.md to connect the packaged MCP bridge and host-specific Skills to <your coding agent host>. Expect the host to list the Argus tools after restart. Verify that a small test task in an empty folder completes and that the core Argus runtime files were not changed.

Quick start with Argus Agent

  1. Check you have what it needs: Node.js 22.12 or later; One authenticated Agent CLI, such as GitHub Copilot CLI, OpenAI Codex CLI, or Claude Code; A project folder you are willing to let the agents modify.
  2. Open microsoft/ArgusAgent on GitHub and read the README and license.
  3. Install Node.js 22.12 or later and sign in to one Agent CLI, for example by running copilot login.
  4. Run argus --config-help to see the available configuration options.
  5. Run argus and give it the goal and the project folder for the campaign.
  6. Check progress at any time with argus --status.

These steps come from our top use case, Run a multi-hour research or engineering campaign with review, which also has a copy-paste agent prompt.

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About this repo

  • Who it is forEngineers and researchers who want an agent to keep working on a multi-stage project for hours without someone watching every step.
  • Why it is hot143 stars, launched 82 days ago
  • LanguagePython
  • Sourcegithub.com/microsoft/ArgusAgent · Back to Hot repos

Requirements

  • Node.js 22.12 or later
  • One authenticated Agent CLI, such as GitHub Copilot CLI, OpenAI Codex CLI, or Claude Code
  • A project folder you are willing to let the agents modify

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Questions about Argus Agent

What is Argus Agent?

Argus is a persistent multi-agent runtime that plans, executes, and reviews long-running research and engineering work across several coding agent backends. It is an open-source project on GitHub: https://github.com/microsoft/ArgusAgent.

How do I use Argus Agent?

Install Node.js 22.12 or later and sign in to one Agent CLI, for example by running copilot login; then run argus --config-help to see the available configuration options; run argus and give it the goal and the project folder for the campaign. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Argus Agent for?

Engineers and researchers who want an agent to keep working on a multi-stage project for hours without someone watching every step.

What can I do with Argus Agent?

4 use cases so far, for example: Run a multi-hour research or engineering campaign with review; Search for mathematical counterexamples with the Counterexample Lab; Benchmark the Argus runtime as a custom agent in Harbor. Each has steps and a copy-paste agent prompt.

What do I need to run Argus Agent?

Node.js 22.12 or later; One authenticated Agent CLI, such as GitHub Copilot CLI, OpenAI Codex CLI, or Claude Code; A project folder you are willing to let the agents modify.

What are alternatives to Argus Agent?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is Argus Agent 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.