Engram

@ayvazyan10

Visit Server

2 months ago

Persistent AI memory backend with semantic search and knowledge graph. Stores episodic, semantic, and procedural memories in SQLite and retrieves the most relevant ones using vector similarity and graph traversal. All embeddings run locally, with no API keys required.

Overview Tools Comments

Overview

What is Engram?

Engram is a universal AI memory backend that gives any AI model a persistent, growing brain.

It stores memories in a local SQLite database with full-text search, vector semantic search, and a knowledge graph that connects related concepts.

Memory Types

Episodic — past events, conversations, decisions
Semantic — facts, knowledge, and beliefs about the world
Procedural — how-to instructions, workflows, and code patterns

Key Features

Semantic search — find memories by meaning, not just keywords
Knowledge graph — 7-step graph traversal connects related memories
Contradiction detection — automatically flags conflicting beliefs
Local-first — all embeddings run on-device, no API keys needed, no data leaves your machine
Universal — works with Claude, OpenAI, Ollama, and any MCP-compatible client

Install

npx -y @engram-ai-memory/mcp@latest

Claude Desktop Config

{
  "mcpServers": {
    "engram": {
      "command": "npx",
      "args": [
        "-y",
        "@engram-ai-memory/mcp@latest"
      ]
    }
  }
}

18 MCP Tools

store_memory, search_memory, recall_context, add_knowledge, check_contradictions, resolve_contradiction, forget, tag_memory, list_tags, decay_sweep, decay_policy, re_embed, embedding_status, index_status, memory_stats, plugin_list, webhook_subscribe, webhook_list

Server Config

{
  "mcpServers": {
    "engram": {
      "command": "npx",
      "args": [
        "-y",
        "@engram-ai-memory/mcp@latest"
      ]
    }
  }
}

Build with ShipAny.