head to head · open source
GPT4All vs txtai
GPT4All has 77,347 GitHub stars, 8,261 forks, 771 open issues and last shipped 1.4 years ago. txtai has 13,062 stars, 960 forks, 9 open issues and last shipped 2 days ago. GPT4All leads on adoption by 492% (77,347 vs 13,062 stars). GPT4All is written in C++ under MIT; txtai is written in Python under Apache-2.0. GPT4All has attracted 11% as many forks as stars, txtai 7%. txtai was the more recently maintained of the two, and both are self-hostable with no licence fee.
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
| GPT4All | txtai | |
|---|---|---|
| GitHub stars | ★ 77K | ★ 13K |
| License | MIT | Apache-2.0 |
| Written in | C++ | Python |
| Last push | 2025-05-27 | 2026-11-01 |
| Forks | ⑂ 8.3K | ⑂ 960 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick GPT4All if
- You weight community size — 77K stars and counting
- You want the MIT license terms
- Your stack matches C++
- 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 GPT4All
GPT4All Now with support for DeepSeek R1 Distillations Website • Documentation • Discord • YouTube Tutorial GPT4All runs large language models (LLMs) privately on everyday desktops & laptops. No API calls or GPUs required you can just download the application and get started . Read about what's new in our blog . Subscribe to the newsletter GPT4All is made possible by our compute partner Paperspace . Download Links — Windows Installer — — Windows ARM Installer — — macOS Installer — — Ubuntu Installer — The Windows and Linux builds require Intel Core…
read the full GPT4All 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 GPT4All or txtai more popular?
GPT4All has 77,347 GitHub stars and txtai has 13,062. GPT4All has the larger community by that measure.
Are GPT4All and txtai free?
Both are open source. GPT4All is licensed under MIT and txtai under Apache-2.0. Neither carries a licence fee.
What is the difference between GPT4All and txtai?
GPT4All is written in C++ 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, GPT4All or txtai?
Choose GPT4All if you want the larger community (77,347 stars) or its MIT licence terms. Choose txtai if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.