Across several AIs

Stop being
the go-between.

You are the integration layer between six brilliant machines, and you are doing the job with a clipboard. Kemory is the shared thread between them.

  • Works with ChatGPT · Claude · Gemini
  • No copy-paste
Best model

Use the best model
for each job.

Draft in one, make a picture in another, code in a third. The thread survives the switch — you don't have to restart a conversation to change which AI handles it.

Field of luminous brains — the best model for each job, one shared thread.
Wired neural form — continuity across every AI you use.
Continuity

Finish somewhere other
than where you started.

Mid-thought, without pasting a brief. Every AI you hand the work to picks up from where the last one left off — no gap, no summary, no clipboard.

No copy-paste

Nothing to copy,
paste, or carry between them.

The memory is already on both sides. What one AI learns, the next one can access — subject to your permissions. The clipboard is retired.

Glowing network lattice — shared memory, already on both sides.
Across AIs

One question.
Several answers. One verdict.

Counsel puts one question to several models at once, surfaces where they disagree, and returns one distilled answer — with the debate visible.

Flowing particle wave — one question, several answers, one verdict.
Multi-model

Ask several
at once.

Counsel puts one question to several models, surfaces where they disagree, and returns one answer. The divergence tells you something the agreement can't.

Glitched brain artwork — several models, one visible debate.
Fluid ribbon of light — distilled knowledge ready for the next model.
Compression

Send less
to say more.

The distilled version travels, not the whole pile. Kemory compresses what you have worked out into what the next AI actually needs — targeted, not transcribed.

Across AIs

One thread.
Every model.

Use whichever AI is best for the job. Kemory keeps the thread between them so you never lose context to a model switch.

Glowing synaptic field — one thread across every model you use.