DeepMem
io.github.deepmemteam/deepmem · v0.1.0
Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.
MCPremoteAPI keyAI & LLMMessagingFiles & storage
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 2 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 73/100
What it does: 2 tools · 0 read, 0 write · AI & LLM, Messaging, Files & storage
No tool could be tested safely. Only read-only tools that need no input are called.
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: 0
- Read/write annotations: 0
- Safe test call: +8
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://deepmem.dev/mcpTools
2 tools listed at last check
deepmem_writeWrite conversation messages to DeepMemory for fact extraction and persistent storage. Messages are processed by an LLM to extract structured memories, which are then embedded and stored in a vector database for later semantic search. Set infer=True to enable LLM fact extraction (produces richer memdeepmem_searchSearch memories stored in DeepMemory using semantic search. Returns the most relevant memories for the given query, ranked by hybrid scoring (vector similarity + BM25 keyword match + entity boost + time decay). Use this to retrieve context from past conversations before responding to the user. Memo
Badge
Markdown for your README
[](https://clawy.uk/mcp/s/io.github.deepmemteam/deepmem)