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Provide AI assistants with persistent project memory to avoid repeating context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "engrams" yet — see the docs or source repo.
Store this in project memory: We decided to keep PostgreSQL for v2 instead of switching to MongoDB. Reasons: our queries are complex, we need strong transactions, and the team already has PostgreSQL operational experience. In future database-choice questions, reference this decision first.
The tool stores a searchable project decision that the AI can reuse in later database discussions.
Remember these coding rules for this project: TypeScript must use strict mode; components use PascalCase; the service layer must not access UI state directly; and every new code change requires unit tests. Apply these rules in future code reviews.
The tool saves project rules so future code generation and reviews can follow them automatically.
Retrieve project memories related to the permission system and summarize the confirmed requirements, chosen implementation patterns, and explicitly disallowed approaches.
Returns a concise summary from stored memories to quickly restore permission-system context.
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.
Give multiple AI tools shared, local-first long-term memory you control.
Build and explore a neuroscience-inspired knowledge graph for search and reasoning.
Gives AI coding agents persistent local memory across sessions for decisions and rules.