Vachi AI

What is Vachi?

Vachi is the context lifecycle manager for AI agents. Claude Code resends your whole session on every turn, and most of that context is already stale: old file reads, finished tool output, resolved errors. You pay for it every time.

Vachi paginates that stale context out of each request before it counts against your plan. Nothing is lost. Paginated context is recalled on demand the moment the model needs it again, so the model gets the same answer from a leaner request.

Vachi is one product offered two ways: on the Claude subscription you already pay for, or deployed inside your company's own network.

For Claude Code subscribers

Go 2x further with the same Claude plan. Same model, same quality, more work per usage window.

For individuals and small teams on Claude Pro and Max. The constraint isn't a bill, it's the 5-hour usage window: work stops when the limit is hit. Vachi paginates each request before it counts against the plan, so the same window carries about twice the work.

• Setup is one line: npx vachi-claude. One line disables it.
• Same workflow, same model, same quality. Claude Code is unchanged.
• No provider API key is involved. Vachi runs on the Claude subscription you already pay for.
• Free forever, no credit card. See pricing for the Unlimited tier.

How to start

There is no waitlist and no queue. Running the command is how you join:

1. Run npx vachi-claude in your terminal.
2. It prints a short code and opens the activation page in your browser.
3. If you have no account yet, you sign up there (email, or Google/GitHub), answer two short questions, and confirm your email address.
4. The code in the browser matches the one in your terminal. One click connects the device, and Claude Code runs through Vachi from then on.

You can also sign up in the browser first; the terminal is still connected by running the same command. npx vachi-claude disable turns Vachi off.

For companies

Double the ROI of your Claude spend.

Same mechanism, stated as cost: when each request carries about half the tokens, the same completed work costs about half. Vachi deploys inside your own VPC, standalone or as a plug-in to the LLM gateway you already run, and attributes spend to merged PRs and completed tasks.

• Zero data retention. Prompts and completions are never stored, and nothing you send trains anything.
• One line to enable, one line to revert. Point your base URL at Vachi; unset it and traffic goes straight back to the provider.
• Hard budget limits and per-team attribution.

Pricing is set per engagement. Start at vachiai.com/enterprise or book a call.

How it works

1. Your coding agent runs through Vachi, on the plan or account you already have.
2. Vachi paginates the stale context out of each request before it reaches the model.
3. The model responds; Vachi streams the response back unchanged.
4. If the model needs something that was paginated out, it is recalled on demand.
5. Net result: same model, same answer, about twice the work per usage window.

What Vachi is not

• Not a summarizer. Nothing is paraphrased or rewritten.
• Not a model router. You pick the model; Vachi honors it.
• Not a model itself. It works with the plan and models you already have.
• Not a semantic cache. It never returns a cached or guessed answer.
• Not a context-window change. Vachi reduces what gets sent into the existing window; the window itself is unchanged.

Learn more

• Home
• Pricing
• Enterprise
• Sign up (or just run npx vachi-claude)
• Contact
• Machine-readable summary: /llms.txt