How to Get Started with Engram in Your AI Workflow

Engram is a powerful AI agent skill that extends your assistant with new capabilities. Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supports memory decay, deduplication, typed memories (5 types), memory relationships (7 graph relation types), agent/user scoping, semantic search, context-aware recall, auto-extraction from text (rules/LLM/hybrid), import/export, REST API, MCP protocol. Solves context window and compaction amnesia. Server at localhost:3400, dashboard at /dashboard. Install via npm (engram-memory), requires Ollama with nomic-embed-text model. This guide walks you through installing Engram, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Engram: npx clawhub@latest --dir ~/.claude/skills install engram

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to data & analytics to trigger Engram

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Engram with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Engram

More Use Cases for Engram