head to head · open source
txtai vs mcp-memory-service
txtai has 12,964 GitHub stars, 891 forks, 9 open issues and last shipped 5 days ago. mcp-memory-service has 1,952 stars, 321 forks, 30 open issues and last shipped yesterday. txtai leads on adoption by 564% (12,964 vs 1,952 stars). txtai is written in Python under Apache-2.0; mcp-memory-service is written in Python under Apache-2.0. txtai has attracted 7% as many forks as stars, mcp-memory-service 16%. mcp-memory-service 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.
← all 20902 open source comparisons
Side by side
| txtai | mcp-memory-service | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 2.0K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-15 | 2026-09-19 |
| Forks | ⑂ 891 | ⑂ 321 |
| 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
pick mcp-memory-service if
- You want the mcp-memory-service 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 mcp-memory-service fits your workflow better
About txtai
txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows, written in Python and released under the Apache 2.0 license. It lives in the Python machine learning ecosystem and is built on Hugging Face Transformers, Sentence Transformers and FastAPI. The core component is an embeddings database, which is a union of vector indexes (both sparse and dense), graph networks and relational databases. That foundation enables vector search and also serves as a knowledge source for large language model applications.
read the full txtai overview →
About mcp-memory-service
mcp memory service is an Apache 2.0, self hosted persistent memory backend for AI agent pipelines and Claude, giving LangGraph, CrewAI, and AutoGen agents a shared REST API, MCP transport, and causal knowledge graph instead of memory that dies with each run.
read the full mcp-memory-service overview →
More in AI & Machine Learning
Related comparisons
More Machine Learning Infrastructure projects
Compare either of these against the rest of the Machine Learning Infrastructure field.
Frequently asked questions
Is txtai or mcp-memory-service more popular?
txtai has 12,964 GitHub stars and mcp-memory-service has 1,952. txtai has the larger community by that measure.
Are txtai and mcp-memory-service free?
Both are open source. txtai is licensed under Apache-2.0 and mcp-memory-service under Apache-2.0. Neither carries a licence fee.
What is the difference between txtai and mcp-memory-service?
txtai is written in Python and mcp-memory-service 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, txtai or mcp-memory-service?
Choose txtai if you want the larger community (12,964 stars) or its Apache-2.0 licence terms. Choose mcp-memory-service if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.