AgentIndex icon
AgentIndex
enquire-mcp logo
enquire-mcp
★ 34
vs
daimon-memory logo
daimon-memory
★ 14

enquire-mcp vs daimon-memory

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.; daimon-memory: Daimon-memory is a self-hostable memory backend for AI agents, storing typed records in PostgreSQL with Qdrant as a semantic index. It provides fast, cheap, and reproducible hybrid keyword + vector search recall without an LLM in the recall path.

01

TL;DR

enquire-mcp logo
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.

Read enquire-mcp full review →
daimon-memory logo
daimon-memoryMemory & Context · ★ 14

Providing persistent, shared memory for AI agents across different tools.

Read daimon-memory full review →
02

Side-by-Side Comparison

Field
enquire-mcp logoenquire-mcp
daimon-memory logodaimon-memory
Category
Memory & Context
Memory & Context
Stars
★ 34
★ 14
License
MIT
MIT
Install Command
npm install -g @oomkapwn/enquire-mcp
git clone https://github.com/wakbijok/daimon-memory && cd daimon-memory && ./install.sh --yes
Updated
1d ago
2mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Long-term Memory, RAG
AI Agents, Memory, Persistence
03

Features

enquire-mcp logoenquire-mcp
01Vendor-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.
daimon-memory logodaimon-memory
01Persistent and typed memory for AI agents
02Deterministic and LLM-free recall using hybrid keyword + vector search
03Self-hostable backend using PostgreSQL for canonical storage and Qdrant for semantic indexing
04Single-subject memory space shared across multiple AI tools
04

Use Cases

enquire-mcp logoenquire-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.
daimon-memory logodaimon-memory
↳Providing persistent, shared memory for AI agents across different tools.
↳Maintaining consistent personas and operating disciplines for AI agents.
↳Storing and retrieving AI agent decisions, lessons, incidents, and reminders.
↳Integrating memory capabilities with existing AI agent platforms like Claude Code, Codex, and Hermes.
FAQ

FAQ

What is the difference between enquire-mcp and daimon-memory?
Both enquire-mcp and daimon-memory are in the Memory & Context category. enquire-mcp has 34 stars, while daimon-memory has 14 stars.
Which is better, enquire-mcp or daimon-memory?
The best choice depends on your use case. Choose 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., and daimon-memory if Providing persistent, shared memory for AI agents across different tools..
Is enquire-mcp free or open source?
Yes, enquire-mcp is open source on GitHub (MIT).
Is daimon-memory free or open source?
Yes, daimon-memory is open source on GitHub (MIT).
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