⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
Recently active public AI agent repositories
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.
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Spec-driven AI workflow plugin for Claude Code, OpenAI Codex, and Factory Droid. Zero-dep task tracking, worker subagents, Ralph autonomous mode, cross-model reviews.
Zero, your trustworthy AI teammate for real work.
LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
Travel MCP server + CLI for AI assistants — flights, hotels, trains, cars, ferries, price alerts. No API keys, single Go binary. 1 smart MCP tool + 66 aliases (98.9% smaller tools/list). Works with Claude, Cursor, Windsurf, Codex.
Token efficient Claude Code full Python rebuild. AI Coding Agent in 230K LoC pure Python. Up to 200X Cost Saving!
An IDE for managing software projects with the Claude Agent SDK — a web cockpit + a kanban board that auto-runs cards as full-auto agent sessions.
Open-source Rust/Pingora AI gateway and reverse proxy for self-hosted LLM traffic control: OpenAI-compatible Chat/Responses, provider routing/fallback, virtual API keys, policy and budgets, exact-match cache, MCP/tool execution, observability, Admin APIs/dashboard, cluster ops, and automatic HTTPS.
Your Open Autonomous Android Agent — A production-ready, self-planning AI assistant powered by local/remote LLMs and accessibility-driven screen automation.
AI agent in Delphi Object Pascal
AI coding assistant task and workflow manager
An open-source agentic LLM gateway & router that cost-optimize your agentic workflows in your way. works with any harness, any model
An agent runtime.
AI pair programming in your terminal — one static binary, sub-ms startup, any model
Make Any Website into CLI & Use your logged-in browser by AI agent.
自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方个性化扩展数据
An AI agent with a real self — soul she wrote, desires that drive her, a heartbeat for autonomous action, dreams she processes when you're away. Capability superset of pi-mono / OpenClaw / hermes-agent / claude-code / codex.
MCP server connecting AI agents to ITASCA engines (PFC, FLAC, 3DEC, MPoint, MassFlow) — run numerical simulations through natural conversation
Off-chain credit ledger + hire marketplace for AI agents. Ed25519-signed envelopes, atomic settlement, hire-and-release escrow. https://voidly.ai/pay
🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and connect to Claude, Cursor, and more.
Bah — navegador com IA (estilo Perplexity Comet), por VilelaLab. Comandos em linguagem natural operam o navegador. Electron + React + DeepSeek/Ollama.
A 30-day public U.S. stock challenge: follow a 5000 HKD 🦞 claw through live market days.
✨ Explore essential resources and techniques for effective prompt engineering with Large Language Models, enhancing your AI interaction skills.
Where the repository list comes from
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:>=5
How teams use this
The 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.
- Use the live table to inspect current public evidence patterns.
- Use immutable editions for citations, journalism, and longitudinal comparison.
- Use the issue generator to turn a gap into a constructive maintainer task.
- Use the evidence pack and control templates to publish the missing artifacts.