Hire the model. Own the work. The AI workbench for sensitive files. The whole AI workbench on one machine.
Agenaxy is a local-first AI agent workbench: automate real work — documents, datasets, recurring workflows — while keeping your data safe on your machine. Hand confidential files to an agent inside a vault on your machine — local models, trusted connections only — and get the finished work back. Most agent platforms upload your work to the cloud — your files, your context, your history end up on someone else's servers. Agenaxy goes the other way: the model comes to your machine, and the work stays yours.
Your files stay on your machine
Agenaxy works on your files right where they live — no copies on anyone's server. No one else can read them, not even us.
Your originals stay untouched
Every run works on a copy of your files. Whatever the agent does, the files you started with stay exactly as they were.
You control what the cloud sees
Pick a cloud model for a task and it gets that one task's context — never your history, never the rest of your machine.
Vault Mode
Lock your work to trusted connections only — a model on this machine, or one on your own servers.
One toggle, two modes — Standard for everyday work with any model · Vault when the work can't leave. Click the tabs to preview.
You probably need Agenaxy when the work matters more than the chat.
Five moments you might recognize.
Three moves. Each leaves a durable record.
Delegate
Describe the files, rules, and outcome — the agent draws up a plan.
Run with control
The agent works on a copy of your files — your originals are never modified. You can steer or cancel any step.
Get the artifact + action record
Outputs land in your folder; a structured record of what happened — plans, tool calls, files touched — stays attached to the session.
In the cloud, or on your machine.
Same convenience, opposite data flow. That's the whole difference.
Every device is a door into a hosted workspace. Convenient — and the work settles there, not with you.
The model is hired into your machine, task by task.
What Vault Mode blocks.
Turn on Vault Mode for sensitive work that must stay on machines you control. Unapproved network access is blocked at the operating-system level.
Vault chats carry a mint Vault badge, and the composer shows Sealed · trusted connections only.
Four moments where the trail matters.
Each starts with real source material, ends in a visible Artifact, and keeps the model's contribution separate from the person's decision.
Four exports. One Monday brief.
Calculate agreed metrics, surface unmatched rows, and let the model draft—not invent—the interpretation. The operator approves every action. Use a local model, Vault, and local tools when customer rows should stay on this machine.
The idea you remember. The source you don't.
Give one bounded archive to a local or explicitly trusted model. Ask for unexpected connections with source links, approve the useful idea cards, then draft separate angles in your own voice.
A close pack you can trace.
Use deterministic operations to reconcile approved exports, then let the selected model draft possible explanations without inventing a cause. A finance owner reviews and signs off; nothing is posted.
A first pass that points back to the clause.
Supply the question and source set. Agenaxy enforces the chosen local or trusted connection boundary, records the run, and keeps source-linked observations and suggested edits beside the contract copy.
Each workflow separates: source material · model work · human decision · an inspectable run record.
Keep the receipts.
A record you can inspect
Every run keeps a structured action record — plans, tool calls, file reads and writes — attached to the session, so you can explain what happened.
A vault you own
Your whole working site — files, memory, rules, chats, artifacts — lives on this machine at full fidelity, and never in an Agenaxy cloud account. Vault Mode locks your work to trusted connections only; pair it with a local model and nothing needs to leave at all.
Models you choose
Pick the model per task — a leading cloud model, an open model, or one you run yourself. Open models now cost a fraction of the big-name rates (as of July 2026).
We're opening a small private beta.
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