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How to use Agav: what you can do with it

What is Agav? Agav is a terminal-native AI coding agent that inspects code, edits files, runs tests, and verifies changes in real repositories.

How do I use it? Install Agav with curl -fsSL https://agav.dev/install.sh | bash; then open a terminal in your repository folder; start the agent with agav, or choose a provider with agav --provider openai --model gpt-4o. Full steps below.

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What do you want to do?

4 use cases

  • Inspect, edit and test a repo from the terminal

    Ask an agent to read code, change files, run tests and verify the result inside your own project.

    View prompt
    Using the Agav repo at prapaa-ai/agav, run `agav` inside <repo-path> and ask it to fix <failing-test-name>. Expected output: a list of edited files and the test run result. Verify that the test command the agent ran passes after the edit.

  • Run a scripted code review in CI

    Call Agav run from a pipeline to review a folder and produce output a script can read.

    View prompt
    Using the Agav repo at prapaa-ai/agav, run `agav run "review the code in <target-folder>"` from <repo-root> in a non-interactive shell. Expected output: a review text or structured output for that folder. Verify that the command exits and the output names at least one file inside <target-folder>.

  • Explain an error log by piping it to the agent

    Pipe a log file into Agav with a question to get a plain explanation of the error.

    View prompt
    Using the Agav repo at prapaa-ai/agav, run `cat <log-file> | agav -P "explain this error"` in <working-folder>. Expected output: a short explanation of the error in the log. Verify that every cause the explanation names appears in the log file.

  • Run the agent against a local Ollama model

    Point Agav at Ollama so code and prompts stay on a model you run yourself.

    View prompt
    Using the Agav repo at prapaa-ai/agav, run `agav --provider ollama --model <model-name>` inside <repo-path> and ask it what the project does. Expected output: a short description grounded in the repository files. Verify that the response came from the local Ollama server and that the named files exist in <repo-path>.

Quick start with Agav

  1. Check you have what it needs: A terminal on your machine; The Agav binary, installed with the install command in the README; An API key for a cloud provider, or a local Ollama setup.
  2. Open prapaa-ai/agav on GitHub and read the README and license.
  3. Install Agav with curl -fsSL https://agav.dev/install.sh | bash.
  4. Open a terminal in your repository folder.
  5. Start the agent with agav, or choose a provider with agav --provider openai --model gpt-4o.
  6. Ask for a specific change, such as fixing one failing test, and let the agent inspect the files and run the tests.

These steps come from our top use case, Inspect, edit and test a repo from the terminal, which also has a copy-paste agent prompt.

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About this repo

  • Who it is forDevelopers and CI maintainers who want an AI agent that works from the command line on their own repositories and model providers.
  • Why it is hot170 stars, launched 87 days ago
  • LanguageTypeScript
  • Sourcegithub.com/prapaa-ai/agav · Back to Hot repos

Requirements

  • A terminal on your machine
  • The Agav binary, installed with the install command in the README
  • An API key for a cloud provider, or a local Ollama setup
  • A project folder or repository you want the agent to work in

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Questions about Agav

What is Agav?

Agav is a terminal-native AI coding agent that inspects code, edits files, runs tests, and verifies changes in real repositories. It is an open-source project on GitHub: https://github.com/prapaa-ai/agav.

How do I use Agav?

Install Agav with curl -fsSL https://agav.dev/install.sh | bash; then open a terminal in your repository folder; start the agent with agav, or choose a provider with agav --provider openai --model gpt-4o. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Agav for?

Developers and CI maintainers who want an AI agent that works from the command line on their own repositories and model providers.

What can I do with Agav?

4 use cases so far, for example: Inspect, edit and test a repo from the terminal; Run a scripted code review in CI; Explain an error log by piping it to the agent. Each has steps and a copy-paste agent prompt.

What do I need to run Agav?

A terminal on your machine; The Agav binary, installed with the install command in the README; An API key for a cloud provider, or a local Ollama setup; A project folder or repository you want the agent to work in.

What are alternatives to Agav?

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

Is Agav 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.