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How to analyze a project or documents with one stateful agent with Frontier Agent

A single ReAct agent reads files, runs commands, and writes deliverables inside a sandboxed task folder.

Who it is forA developer or analyst who wants a focused explanation of a codebase or a set of documents.

The problemReading an unfamiliar repository or a stack of documents by hand takes time, and general chat tools cannot touch local files.

The outcomeA focused answer about the target files, with any written deliverables kept in the run's /outputs folder.

What you need first

  • Git
  • Python 3.12
  • uv
  • An OpenAI-compatible model endpoint with its API key, base URL, and model name
  • Docker (optional, only for the container path)

Steps

  1. git clone https://github.com/ApodexAI/FrontierAgent.git
  2. uv sync --python 3.12 --extra dev
  3. cp .env.example .env, then set your endpoint values in .env
  4. uv run frontier-agent --mode react --cwd /path/to/project -p "explain src/main.py" (inferred, check the README)
  5. uv run frontier-agent --mode react --cwd /repo --input ~/Downloads/claim.pdf --input ~/Desktop/photo.jpg (inferred, check the README)

Prompt for your agent

Using the FrontierAgent repo at <repo path>, run react mode with --cwd set to <target folder> and attach the documents <document paths> with --input. The expected output is a written summary of the files in /outputs. Verify that the agent only reads from /inputs and that each command it ran appears in the trace.

Caveat. Mutating operations show a diff and need approval unless --yes is enabled, so review each change before you approve it.

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