Open-source ChatGPT Atlas alternatives

ego lite is a browser designed so that you and your AI agents can work in parallel. Agents carry out browser tasks in their own Spaces, which are isolated workspaces inside the same browser, while you carry on browsing in yours, so an agent never takes control of the window you are using. The project claims the automation itself finishes faster and with fewer tokens.

The pitch contrasts with tools like browser-use and agent-browser, which it describes as bridges to a browser rather than browsers in their own right: they need a separate browser to drive, your data rarely carries over intact, connections can be unstable, and you and the agent may fight over control. With ego lite, an agent can use your real logins and open tabs by way of ego-browser, so it works with your existing sessions. It is meant for agents such as Codex, Claude Code and Hermes, and ships agent skills.

ego lite runs on macOS today, with a Windows closed beta coming and Linux on the roadmap. It is MIT licensed and written in JavaScript, and it is described as zero cost and zero config. It suits developers automating web tasks with coding agents.

BrowserOS is an open-source browser designed to be used by AI agents. It is positioned as a secondary browser that sits alongside Chrome rather than replacing it, giving agents a place to carry out web tasks while you keep browsing normally. The project presents itself as an alternative to AI browsers such as ChatGPT Atlas, Perplexity Comet and Dia.

You can import logins, bookmarks and extensions from Chrome in one click so agents work with your real accounts, then connect agents such as Claude Code, Codex, Cursor or VS Code, which BrowserOS detects on your machine. Agents run in parallel in their own tabs. A live dashboard on the new tab page shows which site each agent is on, and every session is saved as a replayable video with a step-by-step action timeline.

Everything runs locally on your machine and the project is free under the AGPL-3.0 licence. Its topics point to local model tooling such as Ollama and LM Studio and it exposes tools through the Model Context Protocol. Typical tasks include posting to social media, clearing an inbox, updating a CRM or filing expenses. An enterprise offering is linked from the repository.

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.

Browser Operator is an open-source AI browser that runs agents on the web on your behalf. It is a desktop application for macOS and Windows built to support research, analysis and automation, with processing done locally on your machine. The project describes itself as an open alternative to AI browsers such as ChatGPT Atlas, Perplexity Comet, Dia and the Microsoft Copilot Edge browser.

Its multi-agent platform uses specialized agents that work together on complex web tasks. You choose an AI provider in the settings, including OpenRouter, OpenAI, Groq or LiteLLM, and local models through Ollama allow fully offline operation. Through LiteLLM it is compatible with more than 100 models from OpenAI, Claude, Gemini, Llama and others. The repository topics also mention MCP client support and LangGraph.

Listed use cases include literature reviews and market research, shopping comparison and price monitoring, and business automation such as talent sourcing, lead generation and compliance audits. The system requirements list macOS 10.15 or Windows 10 (64-bit), 8 GB of RAM and 2 GB of free disk space. It is released under the BSD-3-Clause license.