head to head · open source
llama_index vs mcp-memory-service
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. mcp-memory-service has 2,062 stars, 383 forks, 30 open issues and last shipped yesterday. llama_index leads on adoption by 2,460% (52,779 vs 2,062 stars). llama_index is written in Python under MIT; mcp-memory-service is written in Python under Apache-2.0. llama_index has attracted 16% as many forks as stars, mcp-memory-service 19%. mcp-memory-service 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
| llama_index | mcp-memory-service | |
|---|---|---|
| GitHub stars | ★ 53K | ★ 2.1K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 383 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K stars and counting
- You want the MIT 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 llama_index
🗂️ LlamaIndex (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
read the full llama_index overview →
About mcp-memory-service
This repository has moved to GitHub Active development, issues, pull requests, CI and releases are at as of 5 September 2026. This copy stays here, readable and unchanged, so that existing links, issue numbers and pull request references keep resolving. It receives no further pushes and its CI no longer runs. Please do not open issues or pull requests here, they will not be seen. The wiki moved too: mcp memory service Persistent Shared Memory for AI Agent Pipelines Open source memory backend for AI agents — REST API, MCP, OAuth, CLI, dashboard . One self hosted service, every transport. Agents store decisions…
read the full mcp-memory-service overview →
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Frequently asked questions
Is llama_index or mcp-memory-service more popular?
llama_index has 52,779 GitHub stars and mcp-memory-service has 2,062. llama_index has the larger community by that measure.
Are llama_index and mcp-memory-service free?
Both are open source. llama_index is licensed under MIT and mcp-memory-service under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and mcp-memory-service?
llama_index 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, llama_index or mcp-memory-service?
Choose llama_index if you want the larger community (52,779 stars) or its MIT licence terms. Choose mcp-memory-service if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.