Bring your own model
OpenAI, Anthropic, Mistral, DeepSeek, open-source, or models that don't exist yet. Switch freely — your memory survives them all.
The memory operating system for the AI era. Humans decide what matters, agents remember what matters, and your organization owns both — sovereign, European, self-hostable.
RememberOS is not another AI model — it is the knowledge layer between your people, your agents, and your data. Capture experience, preserve context, and let it compound. Bring your own model, swap it for the next one, and your organization's memory carries over unchanged. Run it on your own Postgres and storage, in your own cloud or on-premise — the knowledge stays your asset.
from rememberos import RememberOS mem = RememberOS(api_key="mv_…") # store a memory mem.add("User prefers dark mode", category="preference")
# recall it — semantically hits = mem.search("what theme?") print(hits[0]["text"]) # → "User prefers dark mode" (0.94)
OpenAI, Anthropic, Mistral, DeepSeek, open-source, or models that don't exist yet. Switch freely — your memory survives them all.
Your own PostgreSQL and object storage. No data trapped in a vendor's silo — your knowledge stays your asset, always.
Any agent framework — internal, third-party, or future. One shared memory across all of them, with per-agent identity and access control.
Cloud, private cloud, on-premise, or European hosting. Your infrastructure, your choice — RememberOS runs where your data must live.
Control who reads and writes what, and erase by id or by query. GDPR-aligned by design — knowledge leaves when you say so.
Built and hosted in the EU by 11data, a German B2B data consultancy. No cookies, no trackers, per-tenant isolation from the ground up.
Sync Slack, Notion, Google Drive & Linear into memory server-side — by OAuth or token in the dashboard. Self-host recipes and a dlt destination cover any other source.
Critical knowledge is trapped across your tools today. RememberOS syncs your sources server-side, so every agent and team draws from the same connected memory — and that memory stays on infrastructure you control. Connect by OAuth or token in the dashboard.
Slack, Notion, Google Drive, Linear, Confluence, Gmail, and HubSpot pull in on their own and stay current — incremental, scoped to a collection, nothing to run.
Authorize with OAuth (Slack, Notion, Google Drive) or paste a token — right from the dashboard Connections panel. Credentials are encrypted at rest.
A self-host recipe for Postgres, plus a dlt destination and bulk import for any source you can script.
The expertise that walks out the door — meeting recordings, voice notes, PDFs, screenshots, plain files — drag them onto the drop zone (or record right in the browser). Audio gets transcribed, images get described, documents get read. Everything becomes searchable organizational memory seconds later.
Need full control? Self-host RememberOS on your own infrastructure — no per-memory metering, your data never leaves your environment.
| Feature | Supermemory | Mem.ai | RememberOS |
|---|---|---|---|
| Knowledge stays yours | |||
| Bring your own model / infra | |||
| EU-hosted & sovereign | |||
| Hybrid search (vector + FTS) | |||
| Self-hosting | |||
| MCP support | |||
| Open source |
Humans provide judgment: context, priorities, decisions under uncertainty. Agents provide memory: recall and connection at a scale no person can match. Neither is enough alone — without humans, agents lack relevance; without agents, organizations forget.
And organizations forget constantly. Expertise is trapped in emails, meetings, and the minds of people who eventually leave. When they leave, knowledge leaves. When projects end, the lessons disappear. New hires spend months rebuilding context that already existed.
RememberOS exists so organizational knowledge compounds instead — every project making the organization smarter, every decision strengthening institutional memory. And that memory stays yours: it should never vanish when people leave, sit locked inside a software vendor, or depend on a single AI model. Bring your own model, memory, agents, and infrastructure — your knowledge outlives them all.
Years of experience building production data systems for German enterprises.
Built to German data-protection standards and hosted on Hetzner infrastructure in Germany.
Transparent development with open-source code and a public roadmap.