Your First Memory
Once Engram is installed and connected to your AI client, you can start building your knowledge graph immediately. Your AI agent will use Engram’s MCP tools to remember, recall, and connect information across sessions.
Store a Memory
Section titled “Store a Memory”Ask your AI to remember something:
"Remember that our API uses JWT tokens with 15-minute expiry and refresh tokens stored in httpOnly cookies."Behind the scenes, Engram calls the remember tool:
{ "content": "API uses JWT tokens with 15-minute expiry and refresh tokens stored in httpOnly cookies", "project": "my-project", "topic": "architecture"}The memory is stored with a semantic embedding, enabling recall by meaning rather than exact keywords.
Recall a Memory
Section titled “Recall a Memory”Later, in a new session, ask about authentication:
"How does our auth system work?"Engram finds the relevant memory via semantic search — even though you never said “auth” in the original memory.
Connect Memories
Section titled “Connect Memories”As you store more memories, connect related ones to build a knowledge graph:
{ "from": 1, "to": 2, "relation": "relates_to"}Supported relation types: relates_to, supersedes, contradicts, part_of, derived_from, summarized_by.
Next Steps
Section titled “Next Steps”- Configuration — Customize project scoping and topics
- Knowledge Graph Patterns — Build effective knowledge graphs