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What you can do with Agent Launcher

Agent Launcher is a local desktop app that detects, links, configures, and runs existing coding-agent CLIs such as Claude Code, Codex CLI, and Gemini CLI from one workspace.

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agent-launch/agent-launcher on GitHub

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What do you want to do?

4 use cases

  • Run all installed coding agents from one desktop app

    Link the coding-agent CLIs already on your machine and start sessions for each from one place.

    View prompt
    Using the Agent Launcher repo at https://github.com/agent-launch/agent-launcher, detect the coding-agent CLIs already installed on this machine and link them, then start a session for <agent-name> in the project folder <project-path>. Expected output: a list of linked agents and a running session in that folder. Verify that the CLI was not reinstalled or updated.

  • Set up an OpenAI-compatible provider profile for Codex CLI

    Add a provider profile, let the app check it with a real request, and keep native config in sync.

    View prompt
    Using the Agent Launcher repo at https://github.com/agent-launch/agent-launcher, create an OpenAI-compatible provider profile named <profile-name> for Codex CLI with endpoint <endpoint-url> and model <model-name>, then run its connectivity check. Expected output: a pass or fail result for endpoint, credentials, model, network, and account status. Verify that the masked native config preview shows no plaintext key.

  • Review local token usage and sessions across agents

    Check token counts, requests, sessions, and models for each agent from the local usage dashboard.

    View prompt
    Using the Agent Launcher repo at https://github.com/agent-launch/agent-launcher, open the usage dashboard and summarize token counts, request counts, sessions, and models for <agent-name> over <time-period>. Expected output: a short table of those figures per agent. Verify that the numbers come from local session records only and that no data was uploaded.

  • Run Agent Launcher from source to test a change

    Install dependencies, start the dev build, and run the verify and build checks on a local copy.

    View prompt
    Using the Agent Launcher repo at https://github.com/agent-launch/agent-launcher, install dependencies with `pnpm install` and run `pnpm verify`, then report the result for branch <branch-name>. Expected output: pass or fail for each check. Verify that `pnpm build` completes without errors before proposing any change.

How to use Agent Launcher

  1. Check you have what it needs: A desktop computer running macOS, Windows, or Linux, with the Agent Launcher package downloaded from GitHub Releases; Existing coding-agent CLIs installed on the system, or permission to let Agent Launcher install missing ones in one click; An official account or provider API key for each agent you plan to run.
  2. Open agent-launch/agent-launcher on GitHub and read the README and license.
  3. Download the appropriate package from GitHub Releases (DMG and ZIP for macOS, NSIS installer for Windows, AppImage for Linux) and install it.
  4. On first launch, let the guided setup detect existing CLI commands, and pick the command to link if multiple copies are present.
  5. For any CLI the wizard cannot find, click the one-click install option, or install it yourself from the project's official documentation and detect it again.
  6. Choose or drag in a project folder, then start a session with the selected CLI in the embedded terminal or chat view.

These steps come from our top use case, Run all installed coding agents from one desktop app, which also has a copy-paste agent prompt.

Agent Launcher alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • A desktop computer running macOS, Windows, or Linux, with the Agent Launcher package downloaded from GitHub Releases
  • Existing coding-agent CLIs installed on the system, or permission to let Agent Launcher install missing ones in one click
  • An official account or provider API key for each agent you plan to run
  • For the source build use case only: Node.js 22 or newer and the pnpm version declared in package.json
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Questions about Agent Launcher

What is Agent Launcher?

Agent Launcher is a local desktop app that detects, links, configures, and runs existing coding-agent CLIs such as Claude Code, Codex CLI, and Gemini CLI from one workspace. It is an open-source project on GitHub: https://github.com/agent-launch/agent-launcher.

Who is Agent Launcher for?

Developers who already use one or more coding-agent CLIs and want to manage them, their provider profiles, and their sessions from a single desktop app.

What can I do with Agent Launcher?

4 use cases so far, for example: Run all installed coding agents from one desktop app; Set up an OpenAI-compatible provider profile for Codex CLI; Review local token usage and sessions across agents. Each has steps and a copy-paste agent prompt.

What do I need to run Agent Launcher?

A desktop computer running macOS, Windows, or Linux, with the Agent Launcher package downloaded from GitHub Releases; Existing coding-agent CLIs installed on the system, or permission to let Agent Launcher install missing ones in one click; An official account or provider API key for each agent you plan to run; For the source build use case only: Node.js 22 or newer and the pnpm version declared in package.json.

What are alternatives to Agent Launcher?

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

Is Agent Launcher 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.