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

Claude Code

Code

/plugin marketplace add get-engram/engram
/plugin install engram@engram

Restart Claude Code and approve access in the browser. There is no API key to copy and no config file to edit — the server implements the MCP authorization flow (RFC 9728 / 8414 / 7591, PKCE), so the client discovers it, registers itself, and signs you in. A free account is created as part of signing in.

The plugin also ships a skill that tells Claude when to search memory and what is worth saving, so context accumulates without being asked.

Any other MCP client

Point it at the remote server and let OAuth handle access:

config.json

{
  "mcpServers": {
    "engram": {
      "type": "http",
      "url": "https://mcp.getengram.app/mcp"
    }
  }
}

For a client that only speaks stdio, bridge to the remote server with mcp-remote — it drives the same browser OAuth flow, so there is still no key to copy:

config.json

{
  "mcpServers": {
    "engram": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.getengram.app/mcp"]
    }
  }
}

(An older version of this README suggested npx @getengram/cli mcp; the CLI has no such command and that configuration never worked.)

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:

Tool	Description
`create_conversation`	Start a new conversation with optional title, tags, metadata
`append_messages`	Add messages to an existing conversation
`search`	Semantic search across all conversations
`get_conversation`	Retrieve a conversation with its messages
`list_conversations`	List conversations with filtering and pagination
`delete_conversation`	Remove a conversation and its data

See the API reference for full parameters and examples.

Packages

Package	Description
`apps/mcp-server`	Cloudflare Worker — MCP server and REST API
`apps/cli`	CLI and MCP bridge (`@getengram/cli`)
`packages/sdk`	TypeScript SDK (`@getengram/sdk`)
`packages/db`	Database queries and migrations
`packages/shared`	Shared constants, types, and utilities

Integration guides

Pricing

Plan	Price	Messages/month
Free	$0	1,000
Pro	$9/mo	100,000
Team	$27/seat/mo	500,000
Enterprise	Custom	Unlimited

View pricing

License

Business Source License 1.1 — see LICENSE for details.

Engram README