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No vendor lock-inWorks with any model

Works with any model — your choice, swap anytime.

OpenAI, Claude, Gemini, or open models — ULTRAMEMORY sits in front of all of them. Your memory belongs to you, not to a model vendor, so you can switch whenever you want and keep everything you've remembered.

Pick any model. Change your mind later. Your memory comes with you.
One memory, agents on any model
shared bucketOrchestrator …Researcher · …Coder · open …Reviewer · Ge…Web search
  • parent
  • subagent
  • peer
  • tool
The lock-in problem[1 / 7]

The model is a choice — not a cage.

Tie your AI's memory to one model vendor and you're stuck — switching means starting over and losing everything it learned. We keep memory separate from the model, so the model is a choice you can change, not a cage.

Model-agnostic[2 / 7]

Works with the models you already use.

  • OpenAI
  • Claude
  • Gemini
  • DeepSeek
  • Llama
  • Qwen
  • open models

Bring your own keys, or use ours.

Memory lives outside the model[3 / 7]

Your memory is the constant. The model is a plug-in part.

Your agents talk to ULTRAMEMORY — the durable memory layer — and ULTRAMEMORY talks to whichever model sits in the slot. The memory stays put while the model chip changes.

Memory outside the model

Your agents → ULTRAMEMORY → a swappable model slot. Rotate through OpenAI, Claude, Gemini, or an open model — the memory layer stays put.

One memory layer stays constant while the model in the slot can be swapped.
Your agents
  • Orchestrator · Claude
  • Researcher · GPT
  • Coder · open model
The constant
ULTRAMEMORYdurable memory layer
Swappable model slot
  • OpenAI (currently plugged in)
  • Claude
  • Gemini
  • DeepSeek
  • open model

Your memory is the constant. The model is a plug-in part.

Mix and match[4 / 7]

Different models for different jobs.

Use different models for different jobs, spread load across several providers, and fail over automatically if one has a bad day — without touching your memory or your code.

  • Choose per task

    Use a fast model for routine calls and a stronger one for the hard jobs — the same shared memory backs them all.

  • Balance across providers

    Spread load across several providers so no single one becomes a bottleneck.

  • Auto-failover

    If a provider has a bad day, requests roll over automatically — without touching your memory or your code.

One shared memory works the same no matter which model each agent runs — heterogeneous tools, one memory.

Swap anytime, keep everything[5 / 7]

Change your mind? Nothing is lost.

Change your mind on a model? Switch in your settings. If it changes how memories are indexed, we quietly re-process them in the background — nothing is lost, nothing breaks.

Re-index runs in the background

Quality is in the ranking[6 / 7]

Quality is in the ranking, not just the model.

At today's quality tier, results depend more on how memories are ranked than on which model embeds them — and ranking is our strength. Want the last few points? Switch on a premium model per workspace.

DEFAULT vs PREMIUM · right-answer rateMODEST GAP
  • Default model · right-answer rate91%
  • Premium model · right-answer rate94%

A small, labeled gap — and ranking closes most of it. Want the last few points? Switch on a premium model per workspace. See full benchmarks & methodology →

The short version[7 / 7]

Pick any model. Change your mind later. Your memory comes with you.

OpenAI, Claude, Gemini, or open models — your choice, swap anytime, and everything you've remembered comes along.

How this works under the hood ↗

Start free

Your memory, any model.

Free to start, pay for what you use. Pick any model today — swap whenever you want and keep everything you've remembered.