head to head · open source

txtai vs Olares

txtai has 13,062 GitHub stars, 962 forks, 9 open issues and last shipped 2 days ago. Olares has 5,339 stars, 331 forks, 155 open issues and last shipped 2 days ago. txtai leads on adoption by 145% (13,062 vs 5,339 stars). txtai is written in Python under Apache-2.0; Olares is written in Go under AGPL-3.0. txtai has attracted 7% as many forks as stars, Olares 6%. Olares was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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.

txtai ★ 13K Olares ★ 5.3K category AI & Machine Learning

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Side by side

txtai Olares
GitHub stars ★ 13K ★ 5.3K
License Apache-2.0 AGPL-3.0
Written in Python Go
Last push 2026-11-03 2026-11-03
Forks ⑂ 962 ⑂ 331
Self-hosting Yes Yes
Data ownership Your server Your server

pick txtai if

  • You weight community size — 13K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full txtai profile →

pick Olares if

  • You want the Olares feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches Go
  • You evaluated both and Olares fits your workflow better

full Olares profile →

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 →

About Olares

Olares Your AI Agent. Your Data. Your Hardware. Install Olares · Manage Olares with AI · Contribute Olares is an open source personal cloud OS you operate in plain language, built to run AI agents and LLMs on hardware you own. Powered by Kubernetes, it turns your machines into a self hosted AI platform accessible from any browser, giving everyone from individual users to small teams a unified place for compute, storage, networking, and apps. 🌟 If Olares is useful to you, consider giving the project a star. Your support encourages us to keep improving it. Why Olares Great AI needs to know you. That requires…

read the full Olares overview →

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Frequently asked questions

Is txtai or Olares more popular?

txtai has 13,062 GitHub stars and Olares has 5,339. txtai has the larger community by that measure.

Are txtai and Olares free?

Both are open source. txtai is licensed under Apache-2.0 and Olares under AGPL-3.0. Neither carries a licence fee.

What is the difference between txtai and Olares?

txtai is written in Python and Olares in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, txtai or Olares?

Choose txtai if you want the larger community (13,062 stars) or its Apache-2.0 licence terms. Choose Olares if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.