pi — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

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 sky-valley · Agent Tool · ★ 53

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

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

About pi

pi (Go) A pure-Go (golang) port of pi — the unified multi-provider LLM API, the agent loop, and the CLI — running natively in Go with no Node.js runtime. Looking for "pi for Go" / a "pi-go"? This is it. A pure-Go port of pi, Mario Zechner's agent harness and self-extensible coding agent — built so heavy Go shops can run pi natively without wrapping a Node.js process. It mirrors pi's architecture as faithful, idiomatic Go: the same unified streaming protocol, the same agent loop semantics, the same tool contracts, and the same built-in coding tools — leaning into Go's strengths (channels for the event stream, for cancellation, goroutines for parallel tool execution). Layout The

agent-harnessai-agentai-coding-agentanthropicclaudecoding-agentearendilgeminigogolang

Quick Facts

Stars53
Forks4
LanguageGo
CategoryAgent Tool
LicenseMIT
Quality Score64.263665785109/100
Last Updated2026-09-18
Created2026-06-09
Platformsclaude-code, gemini, go
Est. Tokens~17k

Compatible Skills

These tools work well together with pi for enhanced workflows:

  • san — semantic(0.23)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (74%)

pi alternative? Top 6 similar tools

Looking for a pi alternative? If you're comparing pi 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.

  • palot by ItsWendell · ⭐ 187

    Just another desktop client for OpenCode 2. Manage projects, sessions, parallel agents, requests, and changes

  • go-agent by Protocol-Lattice · ⭐ 254

    An agent framework for Go with graph-aware memory, UTCP-native tools, and multi-agent orchestration. Built for

  • jta by ckanner · ⭐ 132

    AI-powered JSON translation tool with agentic reflection using OpenAI, Anthropic, and Gemini APIs

  • forge by LucasDuys · ⭐ 55

    Turn a one-line idea into a branch with tested, reviewed, committed code. The brainstorm-to-commit pipeline fo

  • omega-memory by omega-memory · ⭐ 218

    Persistent memory for AI coding agents

  • kasetto by pivoshenko · ⭐ 202

    📼 Declarative AI agent environment manager, written in Rust

More Agent Tool Tools

Explore other popular agent tool tools:

View all Agent Tool tools →

Popular Go Agent Tools

Frequently Asked Questions

What is pi?

pi is A pure-Go port of pi (earendil-works/pi) — the pi-ai unified multi-provider LLM API, pi-agent-core agent loop, and pi-coding-agent, native in Go with no Node.js runtime. Anthropic/OpenAI/Google, 999-m. It is categorized as a Agent Tool with 53 GitHub stars.

What programming language is pi written in?

pi is primarily written in Go. It covers topics such as agent-harness, ai-agent, ai-coding-agent.

How do I install or use pi?

You can find installation instructions and usage details in the pi GitHub repository at github.com/sky-valley/pi. The project has 53 stars and 4 forks, indicating an active community.

What license does pi use?

pi is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to pi?

The top alternatives to pi on Agent Skills Hub include palot, go-agent, jta. 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:

View on GitHub → Browse Agent Tool tools