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Provide persistent shared memory, entity extraction, and hybrid search for AI tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "OpenMemory" yet — see the docs or source repo.
Store the following user preferences, project context, and past decisions in OpenMemory, and structure them by entities, relationships, and timeline for future AI sessions.
Structured memory entries with key entities, relationships, and searchable indexes.
Analyze this meeting note, extract people, projects, tasks, dates, and decisions, then save them to OpenMemory with deduplication and relationships.
Extracted results saved into memory as normalized entities and relationship graphs.
Search OpenMemory for past discussions, owners, and decision rationale related to “Q3 pricing changes” using both keywords and semantic similarity.
Relevant memory snippets, matched entities, and contextual summaries for continued reasoning.
Provide shared cross-session memory storage, retrieval, and governance for MCP AI tools.
Give AI assistants persistent memory, adaptive recall, and graph-based knowledge retrieval.
Provide structured memory, semantic retrieval, and cross-session context for AI apps.
Give AI coding tools persistent memory across sessions, devices, and workflows.
Share memory, preferences, and chat history across AI assistants.
Give AI agents persistent memory and semantic retrieval across conversations.