Open‑source tools & curricula for the next generation of agentic AI builders.
We research, build, and teach in the open. You're in the right place if you’re passionate about autonomous agents, document intelligence, and hands‑on AI engineering.
| Repo | What it does | Main tech | License |
|---|---|---|---|
docparseai |
Python package for parsing, chunking, embedding, and FAISS‑based retrieval of documents – perfect for RAG, search, or summarisation pipelines. | Python | MIT |
Ai‑Engineering‑Roadmap |
Self‑taught AI Engineer curriculum covering everything from CS foundations to LLMs & autonomous agents. Free, self‑paced, community‑curated. | Markdown + resources | MIT |
docparse‑inspect |
Lightweight Django middleware that prints the raw SQL your views generate – inspect, profile and optimise DB calls with zero setup. | Python | MIT |
transformers |
Our working fork of Hugging Face’s Transformers library for experiments and upstream contributions. | Python | Apache‑2.0 |
See the full repository list › for everything we’re hacking on.
- Check the project’s
CONTRIBUTING.md(andCODE_OF_CONDUCT.mdwhere available). - Create a feature branch:
git checkout -b my-awesome-feature. - Commit your work and push:
git push -u origin my-awesome-feature. - Open a pull request and tell us why the change is useful.
We label issues good first issue and help wanted for newcomers, and we love docs & tutorial PRs just as much as code.
- Discussions: Use GitHub Discussions or open an issue.
- Chat: Discord server coming soon – stay tuned!
Each repository carries its own license (MIT or Apache‑2.0). Please see the LICENSE file in every project for details.
Built with ❤️ by volunteers around the world. Contributions welcome.
