get-engram/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
/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:
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:
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 |
| createconversation | Start a new conversation with optional title, tags, metadata |
| appendmessages | Add messages to an existing conversation |
| search | Semantic search across all conversations |
| getconversation | Retrieve a conversation with its messages |
| listconversations | List conversations with filtering and pagination |
| deleteconversation | 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 |