navvi 3.0.0

Give your AI agent a real browser identity — persistent personas, anti-detect browser, credential vault

Navvi

Give your AI agent a real browser identity.
Persistent browser personas that remember logins, manage credentials, and never get detected.

Quick Start · Use Cases · How It Works · MCP Tools

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The Problem

Every time your AI agent needs to use the web, it starts from scratch. No cookies, no saved passwords, no history. It has to log in again and again — and half the time the automation gets detected and blocked.

• Agent fills a login form → site detects Selenium/Playwright → blocked
• Agent stores a password in a variable → session ends → password gone
• Agent tries to reuse a browser → cookies wiped → logged out again
• You paste credentials into the chat → now they're in your conversation history

Your agent has no identity. Every session is a stranger.

The Solution

Navvi gives your agent a persistent browser with its own identity. A Camoufox (anti-detect Firefox) that remembers where it's been, stays logged in, and manages its own credentials — without ever exposing passwords to the AI.

• Persistent sessions — cookies, logins, and history survive restarts
• Credential vault — passwords stored in gopass, auto-filled into forms without the AI ever seeing them
• Undetectable input — OS-level mouse and keyboard events (isTrusted: true)
• Live view — VNC link for when a human needs to step in (CAPTCHAs, OAuth, 2FA)
• 21 MCP tools — drop into any Claude Code project

Quick Start

1. Build the Docker image

git clone https://github.com/Fellowship-dev/navvi.git
cd navvi
docker build -t navvi:camoufox -f container/Dockerfile container/

2. Add to Claude Code

claude mcp add navvi -- uvx navvi

Or add to your project's .mcp.json:

{
  "mcpServers": {
    "navvi": {
      "command": "uvx",
      "args": ["navvi"]
    }
  }
}

Restart Claude Code and your agent has 21 browser tools.

3. Use

navvi_start                                     → spin up a browser
navvi_open url=https://example.com              → navigate
navvi_find selector="input[type=email]"         → locate element → (x, y)
navvi_fill x=512 y=498 value="[e-mail]"  → type into it
navvi_screenshot                                → see what happened

Or log in using stored credentials (password never visible to the AI):

navvi_creds action=list                         → show stored logins
navvi_creds action=autofill entry=default/gmail  → fill username + password
navvi_press key=Enter                           → submit

Use Cases

Persistent logins. Log into a service once — your agent stays logged in across sessions. No more re-entering credentials, no more expired sessions, no more "please log in again."

Secure credential management. Passwords live in gopass inside the container. The autofill action types them directly into the browser — the AI never sees the raw password in its context.

Visual evidence for PRs. Screenshot your staging app before and after a code change. Record a user flow as a GIF. Attach it to the pull request.

Form automation on protected sites. Fill complex forms with dropdowns, date pickers, and multi-step wizards. OS-level input passes bot detection that blocks Selenium and Playwright.

Human handoff for hard CAPTCHAs. When the agent hits a CAPTCHA it can't solve, it sends you a VNC link. You solve it in your browser, the agent continues.

How It Works

Your AI agent (Claude Code, etc.)
    |
    | MCP protocol (stdio)
    v
  navvi (FastMCP, Python)
    |
    | HTTP → localhost:8024
    v
+--------------------------------------+
|  Docker container                    |
|                                      |
|  Firefox  ←  Marionette (navigate)   |
|     |                                |
|  Xvfb     ←  xdotool (click, type)  |
|     |                                |
|  x11vnc   →  noVNC (live view)       |
|                                      |
|  gopass (credential vault)           |
|  navvi-server (REST API)             |
+--------------------------------------+
    |
    v
  Docker volume (persistent profile)

Navigation uses Firefox Marionette — a built-in protocol with no detectable automation markers.

All input uses xdotool — OS-level events that websites cannot distinguish from a real person.

Credentials are stored in gopass inside the container. The autofill action reads gopass and types directly into Firefox — the password travels from vault to browser, never through the AI.

Profiles persist in Docker named volumes. Stop a container, start it next week — still logged in.

MCP Tools

Tool	What it does
navvi_start	Start a browser container for a persona
navvi_stop	Stop container (profile preserved)
navvi_open	Navigate to a URL
navvi_find	Find element by CSS selector → screen coordinates
navvi_click	Click at (x, y)
navvi_fill	Click + type text into a field
navvi_press	Press a key (Enter, Tab, Escape...)
navvi_scroll	Scroll the page
navvi_drag	Drag from point A to point B
navvi_mousedown	Press and hold
navvi_mouseup	Release mouse button
navvi_mousemove	Move mouse without clicking
navvi_screenshot	Capture the screen
navvi_creds	List, get metadata, or autofill credentials from gopass
navvi_vnc	Get live view URL for human handoff
navvi_url	Get current page URL
navvi_record_start	Start recording a video
navvi_record_stop	Stop and assemble MP4
navvi_record_gif	Convert recording to GIF
navvi_status	Show running containers
navvi_list	List available Codespaces (remote mode)

Key Workflow

navvi_find is the primary way to get coordinates. It returns screen-ready (x, y) values that account for browser chrome. Pass them directly to navvi_click or navvi_fill.

navvi_find("button[type=submit]")  →  { x: 512, y: 563, text: "Log in" }
navvi_click(x=512, y=563)

For dropdowns: navvi_find the button → navvi_click to open → navvi_find the options → navvi_click the one you want.

When Your Agent Needs Help

Some sites require human intervention (CAPTCHAs, OAuth consent, 2FA codes). The agent asks for help:

navvi_vnc()  →  http://127.0.0.1:6080/vnc.html?autoconnect=true

Open the URL, do what the agent can't, and it picks up where you left off.

Personas

Each persona is a separate browser identity with its own cookies, credentials, and history.

# personas/default.yaml
name: default
description: Default browser persona
browser:
  locale: en-US
  timezone: America/Santiago

Personas are backed by Docker named volumes (navvi-profile-<name>). Create as many as you need — one for each service, project, or team member.

Requirements

• Docker — the browser runs in a container
• uv — curl -LsSf https://astral.sh/uv/install.sh | sh (or brew install uv)
• ffmpeg (optional) — only needed for video recording

License

MIT