mcp-memory-service
★ 2.0k
vs
enquire-mcp
★ 34
mcp-memory-service vs enquire-mcp
mcp-memory-service: MCP Memory Service prevents AI assistants from losing context across sessions by automatically capturing project architecture, decisions, and code patterns. This ensures your AI always remembers essential information, eliminating the need for repetitive re-explanation and saving valuable development time.; enquire-mcp: enquire-mcp transforms your Obsidian vault into persistent, queryable long-term memory for various AI agents, eliminating the need to re-explain context in every session. It provides best-in-class hybrid retrieval, including semantic search, reranking, and HNSW, all running locally with zero cloud calls during serving.
01
TL;DR
mcp-memory-serviceMemory & Context · ★ 2.0k
When to choose:
- You use Claude Code, Claude Desktop, Cursor, VS Code or another MCP client and want chat sessions to stop starting from zero.
- You want a choice of storage: local SQLite, Cloudflare for multi-device sync, or a hybrid.
- You need team features: the README lists OAuth, a dashboard and document ingestion.
When to skip:
- Your problem is codebase navigation rather than conversation memory; a code-graph tool or a project scaffold fits better.
- You handle sensitive material and cannot put it in a persistent store, especially with cloud sync.
- You want a short README to start from: it mixes release notes with documentation.
enquire-mcpMemory & Context · ★ 34
Long-term memory for AI agents: Provides durable, semantic recall for agents across sessions, models, and providers, grounded in your Obsidian notes.
02
Side-by-Side Comparison
Field
mcp-memory-serviceenquire-mcpCategory
Memory & Context
Memory & Context
Stars
★ 2.0k
★ 34
License
Apache-2.0
MIT
Install Command
pip install mcp-memory-service
npm install -g @oomkapwn/enquire-mcp
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Memory, Context Management, Developer Tools
AI Agents, Long-term Memory, RAG
03
Features
mcp-memory-service01Persistent Memory
02Smart Retrieval
03Multi-Client Compatibility
04Cloud Sync (Optional)
05Web Dashboard
enquire-mcp01Vendor-neutral memory: Your memory lives in .md files, ensuring portability across different AI agents and providers.
02Best-in-class hybrid retrieval: Features BM25, multilingual embeddings, BGE cross-encoder reranker, HNSW, and int8 quantization for superior search quality and performance.
03Zero cloud calls during serve: All models are cached locally, and vault content never leaves your machine, ensuring privacy and air-gap safety.
04Freshness-aware recall: Search hits report note age and a `stale` flag, with optional recency-weighted ranking to prioritize fresh knowledge.
05PDFs with OCR & GraphRAG-light: Integrates PDFs (including OCR for scanned docs) into hybrid search and offers GraphRAG-light for wikilink community detection.
04
Use Cases
mcp-memory-service↳Maintaining AI context across multiple development sessions.
↳Avoiding repetitive explanations of project architecture and tech stack to AI.
↳Enhancing continuous and intelligent collaboration with AI assistants.
enquire-mcp↳Long-term memory for AI agents: Provides durable, semantic recall for agents across sessions, models, and providers, grounded in your Obsidian notes.
↳Personal knowledge base / second brain: Offers hybrid retrieval across 50+ languages, wikilink graph-boost, and GraphRAG-light to surface relevant notes and discover connections.
↳Agentic RAG / context engineering: Exposes per-signal scores, HyDE pre-rewrites, and sub-question decomposition for advanced retrieval, plus a built-in evaluation harness.
05
Best For
mcp-memory-serviceEssentialTrending
enquire-mcp—
FAQ
FAQ
What is the difference between mcp-memory-service and enquire-mcp?
Both mcp-memory-service and enquire-mcp are in the Memory & Context category. mcp-memory-service has 2.0k stars, while enquire-mcp has 34 stars.
Which is better, mcp-memory-service or enquire-mcp?
The best choice depends on your use case. Choose mcp-memory-service if Maintaining AI context across multiple development sessions., and enquire-mcp if Long-term memory for AI agents: Provides durable, semantic recall for agents across sessions, models, and providers, grounded in your Obsidian notes..
Is mcp-memory-service free or open source?
Yes, mcp-memory-service is open source on GitHub (Apache-2.0).
Is enquire-mcp free or open source?
Yes, enquire-mcp is open source on GitHub (MIT).
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