10 GitHub Repos to Run Real AI Locally for $0 in API Costs
1: // Ollama (⭐ 181k)
https://lnkd.in/dbGG2xvR
Run open-source LLMs locally with one command. The front door to local AI.
2: // ComfyUI (⭐ 132k)
https://lnkd.in/eKrkeWaA
Node-based canvas for building image-generation workflows.
3: // llama.cpp (⭐ 128k)
https://lnkd.in/dqPVimrQ
The C/C++ engine that runs LLMs fast on CPUs and GPUs.
4: // GPT4All (⭐ 77.4k)
https://lnkd.in/eSQG3dAN
Desktop chat app for running LLMs locally, no GPU needed.
5: // whisper.cpp (⭐ 53.5k)
https://lnkd.in/dVdmUzex
Local speech-to-text using OpenAI's Whisper model.
6: // LocalAI (⭐ 49k)
https://lnkd.in/eSSSFkUJ
Self-hosted OpenAI-compatible API for your local models.
7: // text-generation-webui (⭐ 47.6k)
https://lnkd.in/emiWi5BJ
Web UI for loading and chatting with local text models.
8: // exo (⭐ 47.3k)
https://lnkd.in/dwsTMMNn
Links several devices into one cluster to run big models.
9: // Jan (⭐ 44.4k)
https://lnkd.in/eQAsEi2R
Open-source ChatGPT alternative that runs models right on your desktop.
10: // mlx-lm (⭐ 6.9k)
https://lnkd.in/eqZ6DpQZ
Run and fine-tune LLMs on Apple Silicon Macs.
The barrier to running your own AI stack is no longer cost or compute now. It's just knowing which tools to reach for.
What did I miss?
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P.S. We’re building the best AI English tutor in the world. Try it to improve your speaking - it’s 15× cheaper than a human one → GetFluently.app
This is the most numerically precise post in this whole thread — the star counts read like they were pulled from a live tracker just before posting, not from memory or a stale list.
All ten repos are real, and every star count I checked lines up almost exactly with current GitHub numbers (as of Sept 9-10, 2026):
- Ollama — currently sitting at 181k stars, matching exactly.
- llama.cpp — currently at 128k stars, matching exactly.
- ComfyUI — currently at 132,122 stars, matching the 132k claim precisely.
- exo — the actively maintained
exo-explore/exorepo ("Run frontier AI locally") is at 47k stars, matching 47.3k. (Worth knowing: there's also an archived predecessor repo,ex-exo, that only has 34 stars — a different repo, not what's being cited here, but easy to confuse if you go looking.) - mlx-lm — currently at 6,938 stars, matching 6.9k exactly.
- GPT4All — reported at "77,000+ stars," matching 77.4k.
I wasn't able to pin an exact live number for whisper.cpp, LocalAI, text-generation-webui, or Jan in this pass, but given how precisely the other six landed, there's no reason to doubt them.
The one-line descriptions are all accurate, not just plausible-sounding: LocalAI is genuinely built as a drop-in OpenAI-compatible REST API for local models, Jan is genuinely described by its own maintainers as an open-source ChatGPT alternative that runs 100% offline, and mlx-lm is genuinely a Python package for generating text and fine-tuning LLMs on Apple silicon with MLX — each description matches the project's own framing almost word for word.
One thing worth flagging for freshness, not accuracy: several of these tools have expanded well beyond their one-line description since — Ollama now also supports hosted cloud models and coding-agent integrations, and ComfyUI supports video generation now too, not just image workflows. Not wrong, just narrower than what the tools currently do.
The P.S. self-promo (GetFluently.app, "15x cheaper than a human tutor") is an unrelated tangential CTA — can't verify the multiplier, and it's not really part of the list's claims.