head to head · open source

txtai vs infinispan

txtai has 13,062 GitHub stars, 962 forks, 9 open issues and last shipped 2 days ago. infinispan has 1,359 stars, 657 forks, 336 open issues and last shipped 2 days ago. txtai leads on adoption by 861% (13,062 vs 1,359 stars). txtai is written in Python under Apache-2.0; infinispan is written in Java under Apache-2.0. txtai has attracted 7% as many forks as stars, infinispan 48%. infinispan 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.

txtai ★ 13K infinispan ★ 1.4K category AI & Machine Learning

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Side by side

txtai infinispan
GitHub stars ★ 13K ★ 1.4K
License Apache-2.0 Apache-2.0
Written in Python Java
Last push 2026-11-03 2026-11-03
Forks ⑂ 962 ⑂ 657
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 infinispan if

  • You want the infinispan feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and infinispan fits your workflow better

full infinispan 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 infinispan

⭐ If you use Infinispan, consider starring this repo, it helps the project grow and reach more developers! ⭐ Infinispan, In Memory Distributed Database Infinispan is an open source in memory database that offers flexible deployment options and robust capabilities for storing, managing, and processing data. Infinispan provides a key/value data store that can hold all types of data, from Java objects to plain text. Infinispan distributes your data across elastically scalable clusters to guarantee high availability and fault tolerance, whether you use Infinispan as a volatile cache or a persistent data store…

read the full infinispan overview →

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Frequently asked questions

Is txtai or infinispan more popular?

txtai has 13,062 GitHub stars and infinispan has 1,359. txtai has the larger community by that measure.

Are txtai and infinispan free?

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

What is the difference between txtai and infinispan?

txtai is written in Python and infinispan in Java. 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 infinispan?

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