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:
{
"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:
{
"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
Integration guides
Pricing
Memory is permanent. The limits below are how many messages a plan can hold, not a monthly quota: nothing expires, and deleting conversations frees space.
| Plan | Price | Memory |
|---|
| Free | $0 | 10,000 messages |
| Pro | $9/mo | 1,000,000 messages |
| Team | $9/seat/mo, minimum 2 seats | 1,000,000 messages per seat, pooled |
| Education | $3/mo per student, $3/seat for academic teams | Pro or Team features with a verified university email |
| Enterprise | Custom | Unlimited |
View pricing
Links
License
Business Source License 1.1 — see LICENSE for details.
