io.github.deepmemteam/deepmem

repo:https://github.com/deepmemteam/deepmem

Mem0-compatible persistent memory for AI agents: write facts once, recall them semantically.

transport:: remote
credential class:: self-provisionable
repo:: https://github.com/deepmemteam/deepmem

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Tools

deepmem_search
Search 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. Memories are scoped to the user_id provided during write.
shallow
deepmem_write
Write 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 memories but costs one LLM call). Set infer=False to store raw messages without extraction. Returns a list of memory IDs for successfully stored facts.
shallow

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