webbrain — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by webbrain-one · Agent Tool · ★ 1.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is webbrain safe to install? View the security audit →

About webbrain

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

ai-agentai-agentsai-toolsbrowser-aibrowser-automationbrowser-extensionchrome-aichrome-devtoolschrome-extensionchrome-extensions

Quick Facts

Stars1,109
Forks125
LanguageJavaScript
CategoryAgent Tool
Quality Score67.8570225631505/100
Open Issues10
Last Updated2026-09-22
Created2026-04-06
Platformsbrowser, node
Est. Tokens~18k

Compatible Skills

These tools work well together with webbrain for enhanced workflows:

  • codex-overleaf-link — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • real-browser-mcp — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (63%)

webbrain alternative? Top 6 similar tools

Looking for a webbrain alternative? If you're comparing webbrain with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • browser-agent-py by oxylabs · ⭐ 1.6k

    AI Browser Agent is an advanced Browser AI tool developed by Oxylabs AI Studio that automates real user browsi

  • deepseek-pp by zhu1090093659 · ⭐ 1.5k

    DeepSeek Web browser extension: AI agent workspace with MCP tools, memory, Skills, automation, web search, and

  • claude-code-local by nicedreamzapp · ⭐ 3.3k

    Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server. 6 fighters inc

  • stealth-browser-mcp by vibheksoni · ⭐ 2.1k

    The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect

  • browserable by browserable · ⭐ 1.2k

    Open source and self-hostable browser automation library for AI agents

  • browsernode by leoning60 · ⭐ 1.0k

    🌐 Make websites accessible for AI agents. Automate tasks online with ease.

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Frequently Asked Questions

What is webbrain?

webbrain is Open-source AI browser agent for Chrome and Firefox (monorepo) 🧠. It is categorized as a Agent Tool with 1.1k GitHub stars.

What programming language is webbrain written in?

webbrain is primarily written in JavaScript. It covers topics such as ai-agent, ai-agents, ai-tools.

How do I install or use webbrain?

You can find installation instructions and usage details in the webbrain GitHub repository at github.com/webbrain-one/webbrain. The project has 1.1k stars and 125 forks, indicating an active community.

What are the best alternatives to webbrain?

The top alternatives to webbrain on Agent Skills Hub include browser-agent-py, deepseek-pp, 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.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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