DAA
by rutvej
DAA is a self-hosted agent that receives error alerts from your app or monitoring tools, investigates the cause using git history, logs, traces and source code, and opens a pull request with a proposed fix. It is meant to cut the time spent on manually diagnosing production errors.
- Stars
- 54
- Licence
- MIT
- Runs on
- A small server
- Setup
- Moderate
- Language
- Python
- Age
- 320 days
What you can do with it
- Connect Sentry, Datadog, Prometheus or CloudWatch alerts so new errors trigger an automatic investigation
- Receive pull requests containing a code fix, a root-cause explanation and a postmortem summary
- Approve AI-proposed fixes before they are raised, and switch between Gemini, GPT-4o, Claude or a local Ollama model
Make money with it
A freelance developer could offer a monitoring and maintenance retainer to clients, using DAA to prepare fixes for review before billing for the work.
An idea, not financial advice. Check the licence before charging for anything built on it.
Ways a business could use it
- Reduce out-of-hours debugging time for a small software product by getting fix proposals ready for review each morning
- Offer faster incident response to client websites and apps without paying for a dedicated on-call engineer
Can you use it commercially?
Free to use, change and sell, including in paid products. Keep the copyright notice.
Not legal advice. Read the project's licence file before building a product on it.
Getting it running
Run the standalone Docker image with an LLM API key and a GitHub token, or use Docker Compose for the full setup with a database, queue and dashboard.
Follow the official instructions in the project README.
Things to check
- Needs an LLM API key, which may incur usage costs unless a local model is used
- Needs a GitHub token with write access to your repositories, so access should be tightly scoped
- AI-generated fixes must be reviewed carefully before merging
- Serverless mode with authentication disabled must be secured behind your own gateway
- Small project with few stars, so long-term maintenance is uncertain
Who's talking about it
Checked 31 Oct 2026. Summary drafted by AI from the project's README.