$ loading_
Store, search, and manage personal memories locally with hybrid semantic recall.
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.
Search my Engram memory for past notes about “multimodal model evaluation,” prioritizing content related to benchmark design, metric selection, and experiment conclusions, then rank results by relevance.
Returns relevant note summaries, matched snippets, or memory entries for quick historical review.
Store these key details in Engram from the product review meeting: tentative launch date is July 15, owner is Alice, and risks to confirm include login flow and payment conversion.
Saves the meeting highlights into local memory in a structured way for later retrieval by person, date, or topic.
Find past memories similar to “communicating delay risks to clients,” even if the original notes did not use those exact words, and return semantically related entries.
Finds semantically similar past entries to help the user reuse prior experience and phrasing.
Give AI tools a personal semantic memory layer for storing and recalling information.
Provide a local memory layer for coding agents to capture and recall facts.
Query and store private local memories with temporal reasoning and citations.
Give AI agents persistent memory with natural language recall and perspective fan-out.
Give AI clients persistent memory with hybrid search and knowledge graph retrieval.
Search local Claude Code history with hybrid semantic and keyword retrieval.