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Provide encrypted persistent memory and cross-platform knowledge graph context for AI tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Hippocampus" yet — see the docs or source repo.
Use Hippocampus to store user preferences, past tasks, and key facts for my AI assistant, organize them as a knowledge graph, and enable encrypted storage with cross-session retrieval.
A persistent memory structure that lets the AI assistant accurately reuse prior context in future sessions.
Set up a cross-platform memory layer with Hippocampus so a coding assistant, document assistant, and research assistant can share project background, term definitions, and decision logs with unified querying.
A shared context system usable by multiple AI tools, reducing repeated input and improving consistency.
Configure Hippocampus to store a knowledge graph containing client requirements, internal standards, and technical plans, ensure encrypted storage, and explain how to return only relevant content during AI calls.
A secure memory storage and retrieval approach that protects sensitive information while improving AI performance.
Store and search AI conversation history for cross-session recall of reasoning.
Manage persistent AI memory with hybrid search and offline local embeddings.
Persistent knowledge-graph memory for MCP with semantic search and version tracking.
Give AI assistants a persistent, searchable memory layer and context management.
Give AI expiring memory and semantic search for documents and context.
Provide dual-memory retrieval, storage, and maintenance for long-context AI applications.