by webbrain-one · Agent Tool · ★ 664
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WebBrain Open-source AI browser agent for Chrome and Firefox. Chat with any web page, automate browser tasks, and run multi-step agent workflows — powered by your choice of LLM. Features Page Reading — Extracts text, links, forms, tables, and interactive elements from any page Browser Actions — Click, type, scroll, navigate, and interact with page elements Ask / Act Modes — Read-only mode by default, full agent mode with confirmation Plan before Act — Act mode can generate a structured plan, show it for approval, then pin the approved plan to the scratchpad before tools run Multi-Step Agent — Autonomous task execution with tool-use loops (configurable, default 130 steps) Continue from Limit — When the agent hits the step limit, click Continue to keep going Multi-Provider LLM — Supports local and cloud models: WebBrain Cloud 1.0 (cloud, default) — Built-in managed cloud option; no local setup required llama.cpp (local) — No API key needed. Also Ollama, LM Studio, Jan, vLLM, and SGLang OpenAI (GPT-5.5, etc.) Anthropic Claude (na
| Stars | 664 |
| Forks | 80 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.5279340450748/100 |
| Open Issues | 15 |
| Last Updated | 2026-08-09 |
| Created | 2026-04-06 |
| Platforms | browser, node |
| Est. Tokens | ~18k |
These tools work well together with webbrain for enhanced workflows:
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webbrain is Open-source AI browser agent for Chrome and Firefox (monorepo) 🧠. It is categorized as a Agent Tool with 664 GitHub stars.
webbrain is primarily written in JavaScript. It covers topics such as ai-agent, ai-agents, ai-tools.
You can find installation instructions and usage details in the webbrain GitHub repository at github.com/webbrain-one/webbrain. The project has 664 stars and 80 forks, indicating an active community.
webbrain is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to webbrain on Agent Skills Hub include deepseek-pp, browser-agent-py, claude-code-local. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.