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Provide a local memory layer for coding agents to capture and recall facts.
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 save important facts about the current project: the stack is Next.js, PostgreSQL, and Redis; authentication uses Auth.js; deployment is on Vercel; the near-term goal is team permission management.
Key project facts are stored as local memory entries for later coding agents to reuse.
Use Engram to recall previously saved facts for this repository and summarize the current stack, deployment method, authentication approach, and in-progress feature work.
A concise context summary is returned so a new session can quickly understand the project state.
Review the existing project memories in Engram, organize them by architecture, dependencies, environment configuration, and todos, and flag duplicate or outdated information.
An organized memory structure and cleanup suggestions are produced to keep context accurate over time.
Query and store private local memories with temporal reasoning and citations.
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.
Gives AI coding agents persistent local memory across sessions for decisions and rules.
Give AI coding agents persistent memory across sessions for people, decisions, and context.