head to head · open source
LocalAI vs txtai
LocalAI has 50,140 GitHub stars, 4,569 forks, 201 open issues and last shipped yesterday. txtai has 13,062 stars, 960 forks, 9 open issues and last shipped 2 days ago. LocalAI leads on adoption by 284% (50,140 vs 13,062 stars). LocalAI is written in Go under MIT; txtai is written in Python under Apache-2.0. LocalAI has attracted 9% as many forks as stars, txtai 7%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agents, ai, llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| LocalAI | txtai | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 13K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-11-01 |
| Forks | ⑂ 4.6K | ⑂ 960 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick txtai if
- You want the txtai feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and txtai fits your workflow better
About LocalAI
Deutsch Español français 日本語 한국어 Português Русский 中文 LocalAI is the open source AI engine. Run any model LLMs, vision, voice, image, video on any hardware. No GPU required. A small core, not a bundle. Each backend wraps a best in class engine (llama.cpp, vLLM, whisper.cpp, stable diffusion, MLX...) in its own image, pulled only when a model needs it. You install nothing you don't use. Composable by design : backends are separate and pulled on demand, so you install only what your model needs Open and extensible : load any model, or build your own backend in any language against an open interface Drop in API…
read the full LocalAI overview →
About txtai
All in one AI framework txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows. The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases. This foundation enables vector search and/or serves as a powerful knowledge source for large language model (LLM) applications. Build autonomous agents, retrieval augmented generation (RAG) processes, multi model workflows and more. Summary of txtai features: 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and…
read the full txtai overview →
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Frequently asked questions
Is LocalAI or txtai more popular?
LocalAI has 50,140 GitHub stars and txtai has 13,062. LocalAI has the larger community by that measure.
Are LocalAI and txtai free?
Both are open source. LocalAI is licensed under MIT and txtai under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and txtai?
LocalAI is written in Go and txtai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, LocalAI or txtai?
Choose LocalAI if you want the larger community (50,140 stars) or its MIT licence terms. Choose txtai if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.