Practical Python and AI tooling from Rolly Calma.
GhravenLabs is a small build space for useful automation, local LLM workflows, and developer utilities. The focus is simple: ship tools that are understandable, testable, and useful outside of a demo.
If you are reviewing the work, start with the projects that include live demos, tests, and short proof notes. The goal is to make the code easy to inspect, run, and discuss.
| Project | What it does |
|---|---|
| python-utils-toolkit | 15 stdlib-only Python utility modules for retry/backoff, async rate limiting, TTL caching, HMAC signing, file I/O helpers, and automation workflows. |
| Agent Meeting Room | Flask multi-agent AI chat with Ollama/local LLM support, optional cloud model support, debate mode, SSE streaming, and pluggable memory. |
- Python utilities that stay lightweight and dependency-conscious.
- AI automation tools that can run locally or with cloud model APIs.
- Small, documented projects that show real workflows instead of placeholder demos.
- Experiments that may graduate into standalone tools once they are useful enough.
- Keep the core easy to read.
- Prefer focused features with tests over broad unfinished plans.
- Document before/after behavior and verification steps.
- Make tools friendly to Windows, Linux, and non-UTF-8 environments where possible.
- Be transparent about AI-assisted development while keeping ownership and review responsibility human.
- Portfolio: ghraven.github.io
- GitHub: @Ghraven