by wiseria-ai-labs · Agent Tool · ★ 87
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pie-ai-agent safe to install? View the security audit →
Pie Pie is a free, open-source AI browser agent for Chrome. It lives in the side panel and does tasks for you: reads pages and PDFs, fills forms, extracts data to CSV, automates tabs, and hands work off to Claude Code. Bring your own key (11 providers) or subscribe. No telemetry. English · 简体中文 · 繁體中文 · Español (Latinoamérica) · 日本語 · Português (Brasil) Install · Connect a model · Privacy · Changelog · Roadmap · Architecture · Archive
git clone https://github.com/wiseria-ai-labs/pie-ai-agent.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 87 |
| Forks | 12 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 71.3662627714554/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-08 |
| Created | 2026-04-17 |
| Platforms | browser, claude-code, gemini, node |
| Est. Tokens | ~16k |
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pie-ai-agent is Pie – free, open-source AI browser agent for Chrome. Reads pages & PDFs, fills forms, extracts data, automates tabs, hands off to Claude Code. BYOK or subscribe.. It is categorized as a Agent Tool with 87 GitHub stars.
pie-ai-agent is primarily written in TypeScript. It covers topics such as agentic-ai, ai-agent, anthropic.
The README on GitHub (github.com/wiseria-ai-labs/pie-ai-agent) gives: git clone https://github.com/wiseria-ai-labs/pie-ai-agent.git. Usage details are in the same README.
pie-ai-agent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to pie-ai-agent on Agent Skills Hub include pie-ai-agent, ha-claude, Cerno-Agentic-Local-Deep-Research. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: