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Give AI clients persistent memory with hybrid search and knowledge graph retrieval.
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.
Save the following to engram memory: I prefer concise answers, Chinese by default, and product analyses should prioritize tables and action recommendations. Then summarize what you stored.
The AI stores the user's preferences in persistent memory and returns a summary of what was saved.
Retrieve my past memories about the 'customer support bot launch plan' from engram, and organize the key decisions, owners, and open items in a timeline.
The AI returns a time-ordered view of project context, decisions, and pending tasks based on persistent memory.
Read memories in engram related to the 'Q3 growth project', identify people, goals, risks, and dependencies, and produce a knowledge-graph-style summary.
The AI outputs a structured relational summary showing links between entities for quick project understanding.
Query and store private local memories with temporal reasoning and citations.
Give AI agents shared long-term memory with git-backed markdown knowledge storage.
Provide Git-backed Markdown memory and clean search for AI agents.
Provide AI assistants with persistent project memory to avoid repeating context.
Store, search, and manage personal memories locally with hybrid semantic recall.
Search local Claude Code history with hybrid semantic and keyword retrieval.