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Let AI agents store, search, and recall memories that improve over time.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Semantic Memory MCP" yet — see the docs or source repo.
Store the following as semantic, episodic, and procedural memories respectively, and prioritize recalling them in future conversations: user preference is concise replies; past task is completing competitor research last week; procedure is summarize requirements before generating a plan.
The tool stores three structured memory types for semantic retrieval and reuse in future tasks.
Search past memories related to pricing strategy, SaaS products, and enterprise customer feedback, then return the 5 most relevant results with brief summaries.
It returns the most relevant memory entries so the AI can resume context and avoid repeated analysis.
Save the steps used to generate this weekly report as procedural memory, including data collection, summary generation, format checking, and pre-send confirmation, for future reuse.
It creates reusable procedural memory so the AI can follow a validated workflow in similar tasks.
Give AI chatbots autonomous long-term memory with monitoring and consolidation.
Give AI agents local persistent memory with hybrid search and decay management.
Give AI coding agents persistent semantic memory with embedding-based retrieval.
Give AI agents persistent semantic memory with search, decay, and deduplication.
Give AI assistants persistent memory, adaptive recall, and graph-based knowledge retrieval.
Store and retrieve agent lessons to improve tasks and avoid repeated mistakes.