In February 2024 I published awesome-local-llms on GitHub - a curated list of local LLM tools. It picked up traction on r/LocalLLaMA and Medium, and people found it useful.
But a static markdown file has real limits. It goes stale, you can’t sort or filter it, and there’s no way to see what’s trending this week versus six months ago. For a while I patched that with an Airtable table - it worked, but it was manual, hard to scale, and not exactly a great user experience. And crucially, without a real database tracking snapshots over time, there was no way to calculate trends.
LLMRepos.com is the proper answer to that.
What it is
A live dashboard that tracks hundreds of open-source LLM repositories, updated daily. The scope has expanded beyond just local LLMs to cover the full open-source AI tooling ecosystem - because that’s where builders actually work:
- Inference engines - run models locally or in the cloud
- AI agents and coding agents - autonomous task execution
- RAG and retrieval tools - connect LLMs to your data
- Eval frameworks - measure what actually matters
- AI devtools - the scaffolding builders reach for every day
For each project you can see stars, forks, contributors, primary language, and - most usefully - how many stars it gained in the last 7 and 30 days. That delta is the signal: it tells you what the community is actually paying attention to right now, not just what accumulated the most GitHub stars over years.
Why I rebuilt it
The LLM tooling space moves fast. A framework that was the standard six months ago might already be superseded. Awesome lists are great for discovery but they’re a snapshot, they don’t capture momentum.
I wanted something automated, scalable, and actually interactive: filter by category, sort by recent growth, spot the repos worth evaluating before they’re everywhere. LLMRepos is that tool.
Who it’s for
Builders evaluating which inference engine or agent framework to adopt. Founders watching what tooling is gaining traction before making bets. Researchers keeping tabs on the ecosystem without trawling GitHub search. If you’re building anything with open-source LLMs, this is the dashboard to bookmark.
What’s next
Better filtering, category views, and more repos. If there’s a project missing that you care about, open an issue on the original repo.
Go explore it at llmrepos.com.