MiMo-V2.5-Pro can help a local agent fill a test form from a signed-in page, but it cannot reach your browser by itself. Use an agent client that can run tools, connect Tabbit CLI to Tabbit Browser, then ask the agent to stop before submission. The model, the agent client, and the browser bridge are three separate pieces.
This is a cautious handoff workflow, not a claim that every MiMo endpoint works with every client. Xiaomi says the Pro model is optimized for Agent and Coding tasks, and its weights are available under MIT. The current Hugging Face repository is large, and the provider or client may still need an adapter that turns the model's output into executable tool calls. Test that path before opening a real account form. Xiaomi's release notes and the Hugging Face model card are the sources to recheck when you set up a deployment.
Xiaomi retired the direct API model mimo-v2.5-pro on October 21, 2026. That cutoff applies to Xiaomi’s own platform. The model weights and a third-party catalog listing are separate. Xiaomi model lifecycle
For the browser side, install Tabbit Browser and set up the local Tabbit CLI skill in your agent. Sign in to the target website in Tabbit, then open a named task such as Vendor profile draft. Its task tab can use the existing browser login while you continue working in other tabs. Leave the final review and submit decision to a person.
Key takeaways
MiMo-V2.5-Pro is the model; your local agent decides whether and how to call tools.
The agent client must support the selected model endpoint and parse its tool calls.
Tabbit CLI supplies the local browser connection and can reuse a login already open in Tabbit Browser.
Start with a read-only page check. Then fill a test or draft form and stop before submit.
Verify the model repository revision and provider route at setup time. The current branch can change.
What needs to connect
| Layer | What to verify | What success looks like |
|---|---|---|
| Model endpoint | Select the intended MiMo-V2.5-Pro route; confirm current provider and context limits | A basic text request returns the expected model identity |
| Agent client | Client accepts that endpoint and exposes local tools | A harmless tool call appears as a structured call, not prose describing a call |
| Tabbit CLI | Skill is installed and the launcher can reach Tabbit | A read-only title or heading check returns the expected page text |
| Website session | Sign in to the target site inside Tabbit Browser | The task tab sees the same authorized page without receiving your password |
| Form review | Restrict the task to a test or draft record | Fields are filled and checked; submit remains untouched |
Do not treat a model catalog's “tools” label as proof of end-to-end browser access. A hosted endpoint can generate a tool-call response while the remote runner still has no route into your local browser. In that case, ask the cloud agent to produce a structured handoff and have a local agent perform the browser work. See local and cloud browser agents and browser MCP versus CLI for the boundary.
Check the model before wiring the browser
The official Xiaomi news page dates the MiMo-V2.5 series public beta to April 23, 2026, and its open-source notice says both models use the MIT license. The Pro Hugging Face repository is XiaomiMiMo/MiMo-V2.5-Pro; its current visible revision at research time was 98e90df48208087a2eb974866a736a20f8122d2a (checked November 10, 2026). The OpenRouter model catalog currently lists xiaomi/mimo-v2.5-pro. These are separate facts: repository availability does not guarantee that your chosen API provider or agent client has the route enabled.
The repository is also not a casual laptop download. Hugging Face lists roughly 1.03 TB of files. Unless you have the hardware and inference stack ready, choose a hosted endpoint that you can verify in your client. Xiaomi's current docs name SGLang and vLLM support; they do not establish compatibility with every agent harness.
Before connecting Tabbit, use a disposable agent task to ask for a simple structured action, such as retrieving a public page title through one local tool. Confirm that the client displays an actual tool call, the tool runs, and the answer includes the observed title. If you only see text such as “I would click…”, tool calling is not wired up.
Prepare Tabbit Browser and a local agent
Install and start Tabbit Browser, then sign in to the site you need. Keep the site login inside the browser. Do not paste passwords, cookies, or tokens into a prompt.
Install the Tabbit CLI skill for your local agent and restart that agent so it reloads its skills. The Tabbit quick-start documents
/tabbitfor compatible clients. Pi uses/skill:tabbit; some clients expose a/skillslist instead of a named slash command. Check the client’s actual skill discovery method rather than assuming one command works everywhere.Run the CLI's diagnostics and confirm it can see the intended Tabbit instance. Then create a task with a descriptive name. Reuse a signed-in tab only when it belongs to the task's intended Tabbit environment.
Begin with read-only navigation. Ask for the page title and the labels of the form fields. Compare those results with what you can see in the browser.
The local skill launcher being installed is not the same as the launcher reaching a running browser. And a running browser is not proof that the site is signed in. Check each step separately. Tabbit's CLI quick start documents installation, skill discovery, and use of an existing login.
Fill a test form and stop before submission
Use a harmless record in a staging site or an unsaved draft. This workflow assumes the agent can see a source page with the approved values and a separate test form. It does not authorize submitting, publishing, or changing a real account.
Copy and adapt this prompt:
Task name: Vendor profile draft
Use the currently signed-in Tabbit Browser session through Tabbit CLI.
On the source page, read only the visible fields: vendor name, support URL,
and public contact page. Open the staging vendor form and fill only those
three fields. Do not submit, save, publish, or click any button that changes
the record. After filling, read the field values back and return a table with
the source value, form value, and match status. Stop for my review.
If the source is ambiguous, the form is not staging, or the login is missing,
stop and explain what you can see. Do not guess or use hidden page data.The explicit stop condition matters. Without it, an agent may interpret “complete the form” as permission to submit. Use a draft record that can be discarded, and keep the action boundary in the task prompt.
| Review point | Check in the browser | If it fails |
|---|---|---|
| Right account | Site name and signed-in profile are visible | Stop; do not switch accounts through agent actions |
| Right environment | URL and staging indicator match your test site | Stop if production or unknown |
| Source values | Each value is visible on the source page | Ask for clarification rather than infer |
| Filled form | Read each field back and compare it with the source | Correct the draft manually or rerun with a narrower task |
| Submit boundary | Submit button is still untouched | Review and decide yourself; do not add submission to this prompt |
This kind of small, inspectable handoff is a better first browser task than a long sequence of account changes. The first-task checklist, reusing a browser login, and Tabbit CLI setup for Codex cover adjacent setup details. For a comparison of execution styles, see browser control with Playwright and MCP and letting AI agents control a browser.
A practical browser layer: Tabbit Browser
The model can reason about the form, but the local agent needs a browser tool that can see the signed-in page. Tabbit Browser with Tabbit CLI is one way to provide that local connection. The CLI uses a task tab in the browser environment, so you can keep other tabs open for research or continue work elsewhere. Name the draft task Vendor profile draft and return to that tab for the visible review checkpoint.
The session-reuse behavior was checked in this environment on November 9, 2026 with a local test page: one task received a 401 before sign-in, a separate task received a 200 after a short-lived test cookie was set in the same browser, and the page showed the expected fixture heading and record. This verifies that the CLI task can reuse the browser session in that environment. It does not prove that MiMo-V2.5-Pro was the model used, or that an external agent client has been integrated with it.
That distinction is why the model-tool smoke test comes first. If the client cannot call the local CLI, use MiMo to prepare a field mapping and let a local agent execute it, or fill the form yourself. See the complete Tabbit CLI guide and connecting an agent to an existing browser.
Decide whether this setup fits
Use this pattern when the task is bounded, the source is visible, and the form can remain in draft until a person checks it. Avoid it for irreversible submissions, financial transfers, bulk edits, or sites where the account identity is uncertain. A successful text response is not proof that a click happened; verify the page state after each meaningful action.
One Reddit user testing the Pro route described setup friction in OpenCode because several provider URLs and environment variable names were unclear, then reported tool-call loops during a plugin setup task. That is one person's account, not a benchmark, but it is a useful reminder to verify provider configuration and tool behavior before handing over a form. A separate YouTube hands-on review includes a “Browser OS Test” and an “OpenCode Browser OS Fix” segment; it is an independent demo, not proof of your particular Tabbit setup.
If the model route, client parser, or local browser bridge is uncertain, keep the task at the planning stage. Once all three work on a disposable page, try the Vendor profile draft task, inspect every filled value, and make the final decision yourself.
FAQ
Can MiMo-V2.5-Pro use my signed-in browser?
The model alone does not connect to browser tabs. A local agent must be able to run tools, and a browser bridge such as Tabbit CLI must expose the signed-in Tabbit environment. Confirm both connections with a read-only task before using a real form.
Does MiMo-V2.5-Pro support tool calling?
Xiaomi describes MiMo-V2.5-Pro as optimized for Agent and Coding work, and publishes weights and inference-framework guidance. That does not guarantee every client can parse its tool-call format. Check the selected provider, client adapter, and a harmless tool-call test.
Can I run MiMo-V2.5-Pro locally?
The weights are available on Hugging Face, but the repository is about 1.03 TB. Local hosting requires suitable multi-GPU hardware and a compatible inference stack; a hosted endpoint may be more practical.
Will the browser form submit automatically?
The workflow in this guide explicitly stops after filling and checking the test form. Keep the final submit action out of the agent instructions and inspect the visible values yourself before deciding what to do next.
Can Tabbit CLI reuse my website login?
Tabbit CLI operates through the Tabbit Browser environment, where you can sign in to the target site first. The agent task uses that browser context; the model provider does not receive your browser password.
Can I keep working while the task runs?
Yes. Tabbit CLI tasks use their own task tabs, so you can continue reading or editing in other tabs. Return to the named task tab to review its work.