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Give AI agents shared long-term memory with git-backed markdown knowledge storage.
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 this project's tech stack, coding standards, deployment process, and common issues as long-term memory, organized into markdown files for future agents to read and update.
Creates and writes structured project knowledge documents that future AI agents can search, read, and extend.
Search Engram memory for 'why PostgreSQL was chosen over MongoDB,' then summarize the related discussions, final decision, impact scope, and cite the sources.
Returns relevant memory entries, a decision summary, and sources to quickly understand historical context.
Read meeting notes and task changes from the past week, write new requirements, risks, owners, and next steps into Engram, and update existing markdown records to avoid duplication.
Produces updated knowledge base content that preserves history and builds maintainable team memory.
Store, search, and manage personal memories locally with hybrid semantic recall.
Give AI clients persistent memory with hybrid search and knowledge graph retrieval.
Query and store private local memories with temporal reasoning and citations.
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.