Quick Start
From zero to a fully-loaded project memory in five minutes. Make sure you have completed the installation first.
1
Bootstrap from existing docs (optional)
If you already have a README.md, architecture doc, or similar, ask your AI
to read and store the key information in Engrams:
You: Read my README.md and docs/ARCHITECTURE.md and store
the key decisions, patterns, and project context in Engrams.
AI: [ENGRAMS_ACTIVE] Engrams initialized.
Architectural patterns stored.
Coding standard decisions recorded.
What would you like to work on? 2
Log your first decisions
Start a conversation and tell your AI about important choices:
You: The team has decided to use PostgreSQL as our primary database
because we need ACID guarantees and complex query support.
AI: Decision logged to Engrams:
Decision #1: Use PostgreSQL for primary database
Rationale: ACID guarantees, complex queries, mature ecosystem
Tags: database, architecture 3
Watch context surface automatically
Now ask your AI to implement something:
You: Add a new /users endpoint to the API
AI: I'll help with that. Retrieving project context...
Found Decision #1: PostgreSQL is the primary database
Found Decision #7: JWT auth required on all routes
Found Pattern #2: Structured error handling
Implementing with SQLAlchemy, JWT middleware,
and proper error responses... The AI found those decisions automatically — you didn't have to mention them.