head to head · open source
llama_index vs endee
llama_index has 52,206 GitHub stars, 8,165 forks, 770 open issues and last shipped today. endee has 1,297 stars, 1,650 forks, 31 open issues and last shipped 2 months ago. llama_index leads on adoption by 3,925% (52,206 vs 1,297 stars). llama_index is written in Python under MIT; endee is written in C++ under AGPL-3.0. llama_index has attracted 16% as many forks as stars, endee 127%. llama_index was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (vector-database), 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.
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Side by side
| llama_index | endee | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 1.3K |
| License | MIT | AGPL-3.0 |
| Written in | Python | C++ |
| Last push | 2026-09-18 | 2026-07-29 |
| Forks | ⑂ 8.2K | ⑂ 1.6K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 52K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick endee if
- You want the endee feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches C++
- You evaluated both and endee fits your workflow better
About llama_index
LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.
read the full llama_index overview →
About endee
High performance AI Search & Intelligence platform for AI search, RAG, semantic search, and hybrid retrieval. Quick Start • Why Endee • Use Cases • Features • API and Clients • Docs • Contact Endee: AI Search & Intelligence Platform Endee is a high performance AI Search & Intelligence platform built for AI search and retrieval workloads. It is designed for teams building RAG pipelines , semantic search , hybrid search , recommendation systems, and filtered vector retrieval APIs that need production oriented performance and control. Endee combines vector search with filtering, sparse retrieval support, backup work…
read the full endee overview →
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Frequently asked questions
Is llama_index or endee more popular?
llama_index has 52,206 GitHub stars and endee has 1,297. llama_index has the larger community by that measure.
Are llama_index and endee free?
Both are open source. llama_index is licensed under MIT and endee under AGPL-3.0. Neither carries a licence fee.
What is the difference between llama_index and endee?
llama_index is written in Python and endee in C++. 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 endee?
Choose llama_index if you want the larger community (52,206 stars) or its MIT licence terms. Choose endee if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.