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Adds long-term memory, hybrid retrieval, and codebase scanning for MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "engram" yet — see the docs or source repo.
Use engram to recall the key decisions, disagreements, and final conclusions from our last recommendation system architecture discussion, then organize them chronologically.
A timeline of key decisions, context, and open questions.
Use engram to scan the current codebase and identify the implementation locations, dependencies, and risks related to user permissions.
A list of relevant files, entity relationships, and risk points.
Use engram to remember the people, projects, terms, and relationships in these meeting notes, and build reusable entity links.
Saved entities, relationships, and searchable memory for later recall.
Store, search, and manage personal memories locally with hybrid semantic recall.
Give AI agents shared long-term memory with git-backed markdown knowledge storage.
Search local Claude Code history with hybrid semantic and keyword retrieval.
Query and store private local memories with temporal reasoning and citations.
Give AI clients persistent memory with hybrid search and knowledge graph retrieval.
Build and explore a neuroscience-inspired knowledge graph for search and reasoning.