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Query and store private local memories with temporal reasoning and citations.
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 search notes and files from the past three months related to the 'user permission revamp', summarize key decisions in timeline order, and attach citations for each conclusion.
A chronological decision summary with key conclusions, timestamps, and citations to the supporting notes or files.
Store the following meeting notes in engram, extract action items, owners, and deadlines, and save them as structured memories for future retrieval: ...
A structured stored memory of the meeting plus a summary list of extracted action items.
Use engram to search my local research notes and documents and answer: 'What conclusions did we previously reach about competitor pricing strategy?' Only answer using cited evidence.
A concise evidence-based answer grounded in local materials, with verifiable citations attached.
Give AI tools a personal semantic memory layer for storing and recalling information.
Give AI clients persistent memory with hybrid search and knowledge graph retrieval.
Provide AI assistants with persistent project memory to avoid repeating context.
Give multiple AI tools shared, local-first long-term memory you control.
Manage AI agent memory locally with read, correction, and deletion controls.
Build and explore a neuroscience-inspired knowledge graph for search and reasoning.