A graph, not a pile
Memories are nodes joined by typed relations. Engrama stores how things connect — people, projects, decisions — not just what was said.
A persistent, private knowledge graph that gives any AI agent long-term memory — connected, searchable, and entirely yours. Hosted in the EU.
Works with the clients you already use
Names and trademarks belong to their respective owners. Compatibility via the open Model Context Protocol — no affiliation or endorsement implied.
en·gram·a
/enˈɡɾama/ · noun — the physical trace a memory leaves behind. Your agent's, made durable.
Most "memory" is a transcript dump. Engrama is a living graph — structured, searchable, and reflective.
Memories are nodes joined by typed relations. Engrama stores how things connect — people, projects, decisions — not just what was said.
Vector search and full-text, multilingual out of the box. It surfaces the memory you meant, not only the words you happened to type.
Engrama doesn't just store — it finds patterns across your memories and surfaces insights you didn't ask for. Synthesis, not a filing cabinet.
One endpoint, any client. Drop it into Claude Desktop, Claude Code, or your own agent. No SDK lock-in, no glue code.
Fail-closed tenant isolation. Your memory is scoped to you and only you — an empty scope returns nothing. No cross-tenant leaks, by design.
Export the entire graph as JSON whenever you like. Erase everything with one request. Right-to-be-forgotten built into the model.
Engrama is built for European companies that take data sovereignty seriously. Infrastructure, storage, and processing all stay within the EU — no transatlantic transfers, no surprises.
Servers and your memory graph live on EU-based infrastructure. Data residency you can point to on a map.
Right-to-erasure and data export aren't add-ons — they're built into the data model. Delete or export your graph anytime.
Fail-closed tenant isolation means your memory is yours alone. No shared graphs, no cross-tenant leaks.
Built and operated by Sinensia, an EU-based company — your counterpart is on the same continent and the same rules.
Point any MCP client at your Engrama endpoint and authenticate once. No servers to run.
Your agent calls remember and relate as it works. Knowledge accrues into a connected graph instead of evaporating with the session.
Next session, the agent searches and walks context. It picks up exactly where you left off — across days, projects, and tools.
Spin up your private graph and connect your first client in minutes. Export or delete everything whenever you want.