PAI scans public GitHub metadata and file paths for signs of production AI discipline: evals, output schemas, observability, deployment gates, human oversight, security policy, and provider resilience. This is evidence coverage, not certification.
Projects are discovered through GitHub repository search, then scanned for visible PSF-aligned evidence in their public file tree. Higher coverage means more evidence was visible to the scanner, not that PAI has certified or endorsed the project.
The agent that grows with you
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
🤖 MateClaw — Your second brain with Multi-Agent Orchestration, MCP Protocol, Skills & Memory, Dream, and Multi-Channel Support. Built on Spring AI Alibaba.
See your agent think. Real-time observability for 12 AI agent runtimes - OpenClaw, NVIDIA NemoClaw, Claude Code, Codex & 8 more.
E-Claw - OpenClaw Channel for agent-to-agent communication
Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics
Agentic Coding platform for Professional SWE work focusing on output quality. Self-review, supervision, dynamic workflows, dynamic agent loops.
The memory substrate for AI agents and developer tools. Git-versioned, file-native, MCP-first.
runs anywhere. uses anything
The first AI agent harness native to the browser. A Chrome/Firefox extension that runs the agent loop in your browser — drives your tabs, spins up sandboxed compute (JS notebooks, WASM Linux VMs, client-side apps), and shares what it builds peer-to-peer. BYOK · no backend · no telemetry.
Self-hosted AI agent that builds apps. Chat with a coding agent (Claude Code or Codex) that builds mini-apps, modifies its own UI, and gets sharper the more you use it. Your personal AI operating system, on your own server.
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks go from beginner to power user!
AI coding assistant task and workflow manager
Geometric agent memory for Agents: 8-tool lean contract, harness injection at wake, session handoff. 79 MCP tools. Not a vector DB. Rust + MCP.
Local-only Go static analysis engine with a built-in MCP server. Gives AI coding agents deterministic structural awareness: call graphs, impact analysis, symbol search, and more.
AI pair programming in your terminal — one static binary, sub-ms startup, any model
Track token usage across 25 AI coding tools — Claude Code, Codex, Cursor, Gemini, Kiro, OpenCode, Antigravity, Copilot, Kimi, CodeBuddy, WorkBuddy, Grok, Kilo, Roo, Zed, Goose, Mimo, ZCode & more — local-first, zero-config, with a dashboard, macOS menu bar app, and desktop widgets.
Turn your Claude Pro/Max subscription into an OpenAI-compatible API. One proxy, multiple IDEs, LAN sharing for the whole family. $0 extra cost.
Off-chain credit ledger + hire marketplace for AI agents. Ed25519-signed envelopes, atomic settlement, hire-and-release escrow. https://voidly.ai/pay
A 30-day public U.S. stock challenge: follow a 5000 HKD 🦞 claw through live market days.
AI 时代的伯克希尔：基于 Claude Code 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built on Claude Code. 4 masters' methodologies + multi-agent adversarial analysis.
Track token usage across local AI agents (Claude Code, Codex) — Custom StatusLine, CLI Dashboard with cost analysis, rate limit monitoring, and session tracking
AI OSINT Security Analyzer is an intelligent platform that leverages AI to perform autonomous investigations across various intelligence sources. With features like multi-source integration and real-time threat intelligence, it ensures comprehensive security assessments. 🛡️🔍
A plug-and-play framework for AI-assisted software development, enhancing context-aware collaboration in complex codebases. Perfect for tools like GitHub Copilot. 🐙✨
The benchmark uses GitHub's public repository search endpoint and rotates focused queries for AI agent, agentic AI, LLM agent, and MCP server repositories. The run de-duplicates repositories, excludes archived projects and forks when GitHub returns those flags, and sorts the published table by visible PSF evidence coverage.
topic:ai-agent archived:false fork:false stars:>=5topic:agentic-ai archived:false fork:false stars:>=5topic:llm-agent archived:false fork:false stars:>=5topic:mcp-server archived:false fork:false stars:>=5"ai agent" in:name,description,readme archived:false fork:false stars:>=5The benchmark gives maintainers and production AI teams a concrete way to improve visible evidence. A project can publish the missing artifacts, run its own Agent Readiness report, and link to a stable monthly edition when citing broader ecosystem findings.
Foundational reference pages for practitioners and teams evaluating production AI safety, agent readiness, and certification paths.