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Your code never leaves
Prompts, diffs, and source stay on a host you control. Federated learning does not upload the repo.
A Blue6 company
Six principles for a private desktop coding agent. Open weights. Your code never leaves. In the app, it’s B6.
src/middleware/auth.ts, then a test run.verifySession(req)Describe what to build, fix, or explain… (/ for skills, ! for shell)
The six
Open-weight models. Private inference. Your edge stays yours. On the site it’s Alpha. In the dock, the model picker, and the adapter — B6.
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The agent cannot reach a public model API. Local or dedicated AWS Bedrock — if you host it, Alpha can use it.
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The model is a choice you own, not a vendor. Swap a qualified private endpoint. Alpha does not pick the brand of weights.
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Prompts, diffs, and source stay on a host you control. There is no fallback onto someone else’s infra.
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We do not train on your work by default. Federation is a switch in the product, not a clause in the footer.
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If you opt in, traces are redacted on the device. Only adapter weight deltas federate. The repo never does.
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Closed agents get smarter on your IP. Alpha inverts that. The more the team uses it, the better your private model gets at your stack.
Federated learning
Closed agents get smarter on everyone else’s code — including yours. Alpha inverts that. Your source stays on a host you control. If you opt in, only adapter deltas federate. Usage compounds a private model without the IP leaving.
How it learns
Your code stays
Source never leaves the host.
Only deltas move
Tiny adapter updates, not files.
The model compounds
A private B6 adapter, trained on your work.
Consent is off by default. Raw source never federates. The adapter is B6.
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Prompts, diffs, and source stay on a host you control. Federated learning does not upload the repo.
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Consent is off by default. If you opt in, traces are redacted on-device. Secrets and paths stay local. Only adapter weight deltas federate.
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Those deltas train a private B6 adapter in your tenancy. The more the team uses it, the better it gets at your stack — without the IP leaving.
Privacy first
Other agents can optionally go local. Alpha cannot call a public model API. Prompts, code, and traces stay on your endpoint. Learning is opt-in, in-tenancy, and adapter-only.
Inference stays in the room.
Blocked
Allowed
OpenAI, Anthropic, OpenRouter, Groq, hosted gateways — unreachable. There is no “just this once” fallback onto someone else’s infra.
Local runtimes or dedicated AWS Bedrock. If you host the weights, Alpha can call them. We do not.
Sessions stay on the desktop unless you opt in. We do not train on your work by default. Consent is a product surface, not fine print.
Thoughts, diffs, commands, and subagents render live. Trust comes from seeing what the agent did, not from a vendor claim.
First run
Built for people who are not going to maintain a terminal agent. End users never type an API key. Admins push endpoints once. Mac now, Windows on the same codebase.
The workspace is a directory on disk. The agent works where your repo already lives.
Local or dedicated AWS Bedrock. If you host it, B6 can use it.
Follow the live transcript. Send a correction mid-run. The session never leaves the host you control.
Private preview
Private preview for teams that cannot send source to a public model — and will not accept an agent that never gets better at their repo.
Contact Alpha