head to head · open source
deep-searcher vs mcp-memory-service
deep-searcher has 8,273 GitHub stars, 804 forks, 55 open issues and last shipped 10 months ago. mcp-memory-service has 1,952 stars, 321 forks, 30 open issues and last shipped yesterday. deep-searcher leads on adoption by 324% (8,273 vs 1,952 stars). deep-searcher is written in Python under Apache-2.0; mcp-memory-service is written in Python under Apache-2.0. deep-searcher has attracted 10% 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 (claude), 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
| deep-searcher | mcp-memory-service | |
|---|---|---|
| GitHub stars | ★ 8.3K | ★ 2.0K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2025-11-19 | 2026-09-19 |
| Forks | ⑂ 804 | ⑂ 321 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick deep-searcher if
- You weight community size — 8.3K 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 deep-searcher
DeepSearcher is an open source deep research tool that combines large language models with vector databases to search, evaluate, and reason over private data, producing accurate answers and comprehensive reports. Written in Python and released under the Apache 2.0 license, it lives in the AI and machine learning ecosystem as a machine learning infrastructure project, built around agentic retrieval augmented generation and the Zilliz/Milvus vector search stack. The project has been on GitHub for two years, carries 8265 stars and 803 forks, and had its most recent push on 19 November 2025.
read the full deep-searcher 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 →
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Frequently asked questions
Is deep-searcher or mcp-memory-service more popular?
deep-searcher has 8,273 GitHub stars and mcp-memory-service has 1,952. deep-searcher has the larger community by that measure.
Are deep-searcher and mcp-memory-service free?
Both are open source. deep-searcher is licensed under Apache-2.0 and mcp-memory-service under Apache-2.0. Neither carries a licence fee.
What is the difference between deep-searcher and mcp-memory-service?
deep-searcher 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, deep-searcher or mcp-memory-service?
Choose deep-searcher if you want the larger community (8,273 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.