Open source local-llm projects

Every project in the registry tagged local-llm, ranked by real GitHub adoption.

projects 7 combined stars ★ 78K refresh nightly
01 nanobot ★ 48K

Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat ap

last push8 hours ago languagePython licenseMIT
02 local-deep-research ★ 9.1K

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your pri

last push6 hours ago languagePython licenseMIT
03 open-multi-agent ★ 6.9K

Self-hosted TypeScript agent runtime with durable approvals and verifiable run records. Own it, approve it, audit it.

last push12 hours ago languageTypeScript licenseMIT
04 Dograh ★ 5.7K

Self-hostable voice agent platform with full model control

last push14 hours ago languagePython licenseBSD-2-Clause
05 Deta Surf ★ 3.6K

Browser and notebook combined with local-first AI

last push24 days ago languageTypeScript licenseApache-2.0
06 TranslateBooksWithLLMs ★ 2.4K

Translate full-length books and documents with Ollama, OpenAI-compatible, Gemini, Mistral, DeepSeek, Poe or OpenRouter. Preserves formatting. Resumes where you

last push13 hours ago languagePython licenseAGPL-3.0
07 locally-uncensored ★ 1.7K

The all-in-one local AI studio for your desktop: chat, image and video generation and a coding agent in one free, open source app. Windows and Linux. No Docker,

last push4 days ago languageTypeScript licenseAGPL-3.0

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Frequently asked questions

How many open source local-llm projects are there?

This registry tracks 7 projects tagged local-llm, with 77,661 GitHub stars between them. The most-adopted is nanobot at 48,274 stars.

Are these local-llm projects free to use?

Yes — 7 of the 7 carry an explicit open-source licence across 4 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.

Which local-llm project should I choose?

The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.

Are these local-llm projects still maintained?

7 of the 7 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.