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 earendil-works · Agent Tool · ★ 112.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pi safe to install? View the security audit →
New issues and PRs from new contributors are auto-closed by default. Maintainers review auto-closed issues daily. See CONTRIBUTING.md. Pi Agent Harness This is the home of the Pi agent harness project including our self extensible coding agent. @earendil-works/pi-coding-agent: Interactive coding agent CLI @earendil-works/pi-agent-core: Agent runtime with tool calling and state management @earendil-works/pi-ai: Unified multi-provider LLM API (OpenAI, Anthropic, Google, …) To learn more about Pi: Visit pi.dev, the project website with demos Read the documentation, but you can also ask the agent to explain itself All Packages Vendor-neutral telemetry contracts, reference adapter, conformance tests, and
| Stars | 111,972 |
| Forks | 14,202 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59.9712456119526/100 |
| Open Issues | 261 |
| Last Updated | 2026-10-03 |
| Created | 2025-08-09 |
| Platforms | cli, node |
| Est. Tokens | ~15k |
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pi is AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI. It is categorized as a Agent Tool with 112.0k GitHub stars.
pi is primarily written in TypeScript.
You can find installation instructions and usage details in the pi GitHub repository at github.com/earendil-works/pi. The project has 112.0k stars and 14202 forks, indicating an active community.
pi is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pi on Agent Skills Hub include awesome-claude-code. 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: