Open-source Axiom.ai alternatives

Skyvern automates browser-based workflows using large language models and computer vision. It offers a Playwright-compatible SDK that adds AI capabilities on top of Playwright, and a no-code workflow builder so that both technical and non-technical users can automate manual tasks on any website, replacing brittle automation scripts.

Traditional browser automation depends on custom scripts for each site, often relying on DOM parsing and XPath selectors that break whenever the layout changes. Skyvern instead relies on vision-capable LLMs to understand and interact with pages. Its design was inspired by task-driven autonomous agents such as BabyAGI and AutoGPT, with the added ability to act on sites using browser automation libraries. A swarm of agents comprehends a website, plans actions and executes them.

Skyvern is written in Python and licensed under AGPL-3.0, and topics note RPA and workflow use. You can self-host it or use the hosted service at skyvern.com. It targets teams that automate tasks across many different websites, such as form filling or data retrieval, where writing and maintaining per-site scripts is costly.

Maxun is an open-source platform for getting structured data out of websites. Its pitch is to turn any site into an API: you can scrape pages, crawl links, search, monitor for changes and use AI-powered extraction, without having to hand-code a scraper for every site. Topics tag it as a no-code, RPA and browser-automation tool.

It is built on Playwright-style browser automation, written in TypeScript, and is meant to be used through a visual interface so that people who do not code can create data-extraction robots. The project offers a hosted app and documentation, tutorials and a Discord community, and it can be self-hosted. The README is heavily sponsored by proxy providers, which reflects how scraping at scale usually needs rotating proxies, though those are third-party services that are not part of Maxun itself.

Maxun is licensed under AGPL-3.0, which requires sharing source changes if you offer a modified version as a network service. It suits analysts, marketers and developers who regularly pull data from websites without official APIs, and who want a managed or self-run alternative to custom scraping scripts.

Nanobrowser is an AI web automation tool delivered as a Chrome extension. You describe a task, and a team of AI agents carries it out in your browser. The project presents itself as a free, open-source alternative to OpenAI Operator, with the flexibility of choosing which language model provider you use.

Its multi-agent design splits the work: a Planner analyzes the task and corrects course when it runs into obstacles, while a Navigator carries out the steps on web pages. Everything runs locally in the browser, and you supply your own LLM API key, so there is no required vendor account. Topics mention browser automation, Playwright and n8n. It is available from the Chrome Web Store and is written in TypeScript.

Nanobrowser is licensed under Apache-2.0. It suits people who want agentic browsing and web task automation with their own model keys, without handing control to a hosted browser agent. Support comes from community sponsorship and a Discord server.

Automa is a browser extension for automating your browser through a visual workflow of connected blocks. You can auto-fill forms, perform repetitive tasks, take screenshots or scrape data from websites, and schedule when a workflow runs, all without writing code. It is built with Vue.

A marketplace lets users share and download workflows, and an Automa Chrome Extension Builder can turn a workflow into a standalone Chrome extension. The extension is available from the Chrome Web Store and Firefox Add-ons, and the repository includes setup instructions for contributors. Topics include workflow, browser automation and web scraping.

The repository license is listed as 'Other' on GitHub, so check the terms. Automa runs inside your own browser, so there is no server to manage. It suits non-programmers and developers who want quick browser automation similar to a lightweight RPA tool.

BrowserAct gives AI agents and teams a way to automate real browsers for web data extraction and account-based workflows. The repository contains skills for agents such as Claude Code, Cursor, and Codex, along with a CLI. The project describes features for handling anti-bot protections, handing control to a human when an agent gets stuck, and running tasks in parallel without cross-contamination. It is released under the MIT license.

There are two ways to use it. In the cloud mode, you describe the website and the fields you need and BrowserAct builds and tests a reusable scraping bot in a cloud browser, then runs it for you. In the local mode, agents load the BrowserAct skill and drive a local browser, including reuse of local Chrome login state, from their own environment. Independent sessions and isolated multi-account browsing keep identities separate.

It suits developers building AI agents that need dependable browser access, and teams that want repeatable data collection. The cloud service is run by the vendor, so check browseract.com for plans and usage limits.