Engram

Memory infrastructure for AI agents. Store every conversation verbatim. Search by meaning.

Engram is an MCP-native memory server that stores complete, uncompressed conversation transcripts and makes them searchable via semantic search. Connect any MCP-compatible client — Claude Desktop, Claude Code, Cursor, Windsurf, Zed — and your agent remembers everything across sessions.

Quick start

1. Sign up at getengram.app and get your API key

2. Add to your MCP config (Claude Desktop, Claude Code, Cursor, etc.):

{
  "mcpServers": {
    "engram": {
      "command": "npx",
      "args": ["-y", "@getengram/cli@latest", "mcp"],
      "env": {
        "ENGRAM_API_KEY": "engram_sk_live_..."
      }
    }
  }
}

3. Start using it. Your agent now has persistent memory.

Related MCP server: Memsolus MCP Server

How it works

• Verbatim storage — every message stored exactly as sent, no summarization or compression

• Semantic search — find relevant context by meaning using bge-base-en-v1.5 embeddings

• MCP-native — speaks the Model Context Protocol natively, works with any compatible client

• Multi-tenant — per-organization isolation, team seats, and API key management

Architecture

Runs entirely on Cloudflare's developer platform:

• Workers — Hono.js API and MCP server

• D1 — SQLite at the edge for messages and metadata

• Vectorize — semantic search index

• Workers AI — embedding generation

Read the full architecture deep-dive.

MCP tools

Engram exposes 6 tools via MCP:

See the API reference for full parameters and examples.

Packages

Integration guides

• Claude Desktop

• Claude Code

• Cursor

• Windsurf

• OpenAI Codex CLI

• Custom agents

Pricing

View pricing

Links

• Website: getengram.app

• Documentation: getengram.app/docs

• Blog: getengram.app/blog

• npm: @getengram/cli

License

Business Source License 1.1 — see LICENSE for details.