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Give AI tools a personal semantic memory layer for storing and recalling information.
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.
Store the following in Engram memory: I prefer answers in Chinese, concise outputs, and TypeScript examples for code. Then verify these memories can be retrieved semantically.
A memory write result plus sample queries to verify semantic retrieval.
Search Engram for memories related to payment system refactoring, risk-control rules, and settlement delays. Summarize the project context and list the five most relevant memories.
A project context summary with the most relevant memory entries and why they match.
Review Engram for duplicate, outdated, or low-value memories. Group them by topic and provide cleanup recommendations, marking what to keep, merge, or delete.
A memory governance checklist with grouped results and keep, merge, or delete recommendations.
Give AI clients persistent memory with hybrid search and knowledge graph retrieval.
Query and store private local memories with temporal reasoning and citations.
Provide a local memory layer for coding agents to capture and recall facts.
Search local Claude Code history with hybrid semantic and keyword retrieval.
Provide AI assistants with persistent project memory to avoid repeating context.
Build and explore a neuroscience-inspired knowledge graph for search and reasoning.