AI Browser Automation
Persistent browser sessions for your AI agents
AI agents now read and operate web pages in natural language, but they need a browser they can keep using: login state that survives a restart, a dedicated profile and proxy per task, and runs you can schedule and review. Through a Local API available on every plan including the free one, NexBrowser connects browser-use, Playwright MCP or your own agent to managed, isolated browser profiles.
AI agents and browser automation are converging
Classic scripts depend on fixed selectors and coordinates, so every page change means maintenance. LLM-driven agents read page structure in natural language and adapt better to dynamic sites. Real projects usually mix both, and both rest on the same foundation: a browser runtime that stays usable over time and whose configuration is reproducible.
From scripts to agents
Scripts are good at deterministic flows, agents are good at pages whose structure keeps shifting; most teams end up running both on one shared runtime.
LLMs read page structure
Agents locate elements in natural language rather than exact selectors, so a flow often keeps working after a redesign and costs less to maintain.
The runtime is the shared base
Whichever approach you take, session persistence, proxy configuration and per-task isolation come from the browser runtime, not from the model.
Every major AI automation stack, hosted by NexBrowser
Whether you use a commercial agent API or an open-source framework, they all need somewhere stable to land: login state that persists, a proxy you can pin, and tasks kept separate from one another. NexBrowser provides that layer over a standard Local API and CDP endpoint.
browser-use (open source)
A popular open-source library that connects any large model to a browser to act on natural-language goals.
Playwright MCP
Exposes Playwright capabilities to an agent over the MCP protocol for structured page control.
Screenshot-driven computer-use agents
Agents that drive a graphical interface through screenshots and mouse or keyboard events can control a running window directly.
Your own agent + Local API
Call the Local API from your own orchestration logic to create, start and close profiles and collect results.
Selenium / Puppeteer
Classic scripting frameworks paired with an AI decision layer, connected to a managed profile via the Local API.
CDP / WebDriver clients
Any client that speaks CDP or WebDriver can attach to a profile you have already started.
Why AI automation "works in a demo but is hard to run in batches"
Running once and running for months are different problems. An AI agent only solves "how to operate"; at batch, long-running, multi-account scale the time actually goes into session management and reproducing the runtime configuration.
browser-use · Playwright MCP · WebDriver
NexBrowser doesn't replace your AI agent — it gives that agent a persistent, reproducible browser runtime: its own session and login state, configurable fingerprint parameters and your own proxy, with a Local API to plug the agent in.
NexBrowser's role in AI automation
NexBrowser doesn't replace your AI agent — it gives that agent a persistent, reproducible browser runtime: its own session and login state, configurable fingerprint parameters and your own proxy, with a Local API to plug the agent in.
Persistent sessions and login state
The login state your agent needs lives in the profile and persists across tasks and restarts. Profiles sync to the cloud, so moving to another machine picks up where you left off and your flow no longer has to handle sign-in every run.
- Cookies / cache / local storage persist
- Cloud sync plus profile import and export
A dedicated profile per task
Create a separate profile for each task or account, with its own cookies, cache, local storage and fingerprint parameters, so several agents can run in parallel and each profile’s data stays independent of the others.
- One task, one profile
- Many windows running in parallel
Local API, not billed separately
A built-in free Local API is compatible with Selenium / Puppeteer / Playwright / WebDriver, so browser-use, Playwright MCP or an agent you built yourself connects straight to the profile you choose.
- Works with major automation frameworks
- No-code RPA flow orchestration
Scheduling, retries and result export
Replicate one agent flow across many profiles and run it on a schedule. Choose headed or headless mode, retry failed steps automatically, and export run logs and collected results to CSV or JSON.
- Scheduled and batch execution
- Automatic retries and result export
Connect AI automation to NexBrowser in three steps
Create a dedicated profile
Spin up an independent profile per task or account, set its proxy, timezone and language, and save its login state.
Plug in your AI framework
Use the Local API or CDP endpoint to connect browser-use, Playwright MCP or your own agent to that profile.
Schedule and run
Set up scheduled batch runs, watch the logs live, let failed steps retry automatically, and export results to CSV or JSON.
Related solutions
For more general scripted automation and no-code flow orchestration, read on:
Give your AI agent a persistent, isolated browser environment
The NexBrowser free tier includes 1 member and 10 windows and does not expire: persistent sessions and login state, a browser profile isolated per task, your own proxy configuration, and a Local API that is not billed separately. Extra capacity is billed from 0.30 USDT/window/30 days.
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