Hot Memory Mcp
This is a persistent memory layer for Claude that optimizes for access patterns. It maintains a hot cache of frequently used memories that get auto-injected into context before each request (zero latency), backed by a semantic search layer for everything else. The system self-organizes through promotion and demotion: memories used 3+ times move into the hot tier, unused ones decay after 14 days. It isolates memories per git repository, builds a knowledge graph between related concepts, and can bootstrap from your project docs. Exposes tools for remember, recall, promote/demote, and link_memories operations. Ships with a dashboard at localhost:8765 and works with local SQLite and embeddings. Reach for this when you're tired of re-explaining your architecture every session and want Claude to learn what matters in your codebase.
- GitHub stars
- 15
- tools
- 7
- transport
- STDIO
- env vars
- 2
- last updated
- Nov 10, 2026
Tools
7 toolsPublic tool metadata for what this MCP can expose to an agent.
rememberStore a memory with semantic embedding
Store a memory with semantic embedding
No parameter schema in public metadata yet.
recallSearch memories by meaning
Search memories by meaning
No parameter schema in public metadata yet.
promoteManage promoted memories
Manage promoted memories
No parameter schema in public metadata yet.
demoteManage promoted memories
Manage promoted memories
No parameter schema in public metadata yet.
memory_statsShow statistics
Show statistics
No parameter schema in public metadata yet.
bootstrap_projectSeed from project docs
Seed from project docs
No parameter schema in public metadata yet.
link_memoriesKnowledge graph connections
Knowledge graph connections
No parameter schema in public metadata yet.
Sponsors
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MEMORY_MCP_DB_PATHPath to SQLite database file
MEMORY_MCP_EMBEDDING_MODELEmbedding model to use (default: all-MiniLM-L6-v2)
Readme
🧠 Memory MCP
Give your AI assistant a persistent second brain
Stop re-explaining your project every session.
Memory MCP learns what matters and keeps it ready — instant recall for the stuff you use most, semantic search for everything else.
The Problem
Every new chat starts from scratch. You explain your architecture again. You paste the same patterns again. Your context window bloats with repetition.
Details
- Repository
- github.com/michael-denyer/memory-mcp
- Categories
- AI & LLM Tools, Search & Web Crawling
- Package
hot-memory-mcp- Transport
- STDIO
- Registry
- MCP registry, active
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