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Give LLM agents efficient long-term memory across text and multimodal data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SimpleMem" yet — see the docs or source repo.
Explain how to integrate SimpleMem into my LLM agent to store user preferences, conversation history, and task context, and provide setup steps and example data structures.
A practical integration plan with memory write and retrieval flows, schema design, and call examples.
Retrieve the most relevant past records from SimpleMem for the current user query, prioritizing memories related to the topic, user preferences, and recent tasks, ranked by relevance.
A ranked list of relevant memories plus a concise context summary for the current response.
Design a multimodal memory workflow using SimpleMem to manage text, image descriptions, and task records, supporting create, update, deduplication, and topic-based retrieval.
A multimodal memory structure, key operation workflow, and representative retrieval examples.
Give AI agents local long-term memory with private hybrid retrieval.
Give AI assistants persistent memory for preferences, context, and decisions.
Give AI coding agents persistent local shared memory across agents.
Give AI agents persistent memory across sessions with efficient on-demand context loading.
Give AI agents persistent memory with retrieval and relevance ranking.
Give AI agents persistent memory, temporal awareness, and error loop prevention.