head to head · open source
cognee vs deep-searcher
cognee has 33,036 GitHub stars, 3,456 forks, 495 open issues and last shipped 2 days ago. deep-searcher has 8,378 stars, 816 forks, 55 open issues and last shipped 1 months ago. cognee leads on adoption by 294% (33,036 vs 8,378 stars). cognee is written in Python under Apache-2.0; deep-searcher is written in Python under Apache-2.0. cognee has attracted 10% as many forks as stars, deep-searcher 10%. cognee 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
| cognee | deep-searcher | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 8.4K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-03 | 2026-09-22 |
| Forks | ⑂ 3.5K | ⑂ 816 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick cognee if
- You weight community size — 33K 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 deep-searcher if
- You want the deep-searcher 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 deep-searcher fits your workflow better
About cognee
Cognee The Open Source AI Memory Platform for Agents Demo . Docs . Learn More · Join Discord · Join r/AIMemory . Community Plugins & Add ons Cognee is the open source AI memory platform that gives AI agents persistent long term memory across sessions. Ingest data in any format, build a self hosted knowledge graph, and let every agent recall, connect, and act with full context 🌐 This README is also available in: Deutsch Español Français 日本語 한국어 Português Русский 中文 📄 Read the research paper: Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning — Markovic et al., 2025 When to use…
read the full cognee overview →
About deep-searcher
DeepSearcher combines cutting edge LLMs (OpenAI o3, Qwen3, DeepSeek, Grok 4, Claude 4 Sonnet, Llama 4, QwQ, etc.) and Vector Databases (Milvus, Zilliz Cloud etc.) to perform search, evaluation, and reasoning based on private data, providing highly accurate answer and comprehensive report. This project is suitable for enterprise knowledge management, intelligent Q&A systems, and information retrieval scenarios. 🚀 Features Private Data Search : Maximizes the utilization of enterprise internal data while ensuring data security. When necessary, it can integrate online content for more accurate answers. Vector…
read the full deep-searcher overview →
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Frequently asked questions
Is cognee or deep-searcher more popular?
cognee has 33,036 GitHub stars and deep-searcher has 8,378. cognee has the larger community by that measure.
Are cognee and deep-searcher free?
Both are open source. cognee is licensed under Apache-2.0 and deep-searcher under Apache-2.0. Neither carries a licence fee.
What is the difference between cognee and deep-searcher?
cognee is written in Python and deep-searcher 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, cognee or deep-searcher?
Choose cognee if you want the larger community (33,036 stars) or its Apache-2.0 licence terms. Choose deep-searcher if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.