Your organization
remembers everything.

Memory that survives every model.

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)

Your knowledge, under your control.

One shared memory, your whole organization.

Knowledge shouldn't live in one assistant's head. RememberOS is built for many agents and people working the same organizational memory — each agent with its own identity, shared collections they read and write together, per-collection access control, and provenance on every fact. Memory becomes the place your organization coordinates and compounds what it learns.

Your tools, one organizational memory.

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.

Drop anything. It becomes memory.

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.