v3.46.1 · MIT
Multi-Agent + Automation Harness: Graph-based Workflows, MCP, Self-Improving Agents. NextJs+React
v0.1.5 · MIT
dsh plugin: keep llm-pi-ai provider routes' model lists in step with the pi.dev gateway, written through the official settings seam
— · MIT
A market-driven Product Manager copilot (Agent Skills + Claude Code plugin) based on the Pragmatic Framework — guides PMs from idea to launch and produces a client-ready artifact (Markdown or .docx) at every stage.
v2.0.7 · MIT
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
v4.0.5 · Apache-2.0
AI Agent-first JS 逆向 MCP Server:有头 Chrome 调试、断点、网络/WebSocket 分析、Patchright 反检测,可选 CloakBrowser。
— · no license
SAIL V2 (Secure AI Lifecycle) as an agent skill — the full 91-risk catalog for AI/agent gap assessments, security roadmaps, and compliance checklists. Installs on Claude Code, Codex, ChatGPT, Antigravity, and any SKILL.md-compatible agent.
v1.2.0 · MIT
Pith is the hook that makes Claude Code sessions last 3x longer.
— · Apache-2.0
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
— · MIT
Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
— · See LICENSE file in repository root
Audit a website with the squirrelscan CLI and fix the findings in code. Runs SEO, performance, security, technical, content, accessibility, and 15 other rule categories (260+ rules), returns an LLM-optimized report, then drives an iterative fix loop, mapping issues to source files, applying fixes, a
— · MIT
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
v0.14.5 · Proprietary
ClickUp MCP Server - Powering AI Agents with full ClickUp task, document, and chat management capabilities.
v0.16.487 · MIT
Bring SynthesisUI design systems into any project - tokens, typed components, whole pages and an agent-ready CLAUDE.md manifest.
— · Apache-2.0
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk
— · MIT
Turn code into clarity. Generate accurate technical docs and AI-ready context in minutes—perfectly structured for human teams and intelligent agents.
v0.9.1 · Apache-2.0
One config to rule them all — sync MCP servers, skills and AGENTS.md across 18 AI coding tools, and package them as Agent Plugins.
— · MIT
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
v0.4.0 · no license
Football data analytics toolkit for Claude Code. Covers Opta, StatsBomb, Wyscout, SportMonks, and free sources.
v1.4.1 · MIT
Claude Code experience for the pi coding agent: reads your .claude config (rules, commands, skills, hooks, output styles, MCP servers, agents) and adds todo, checkpoints, memory, web, subagents, and goals
— · Apache-2.0
AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Efficient token usage, advanced tools. Any C# method may be turned into a tool by a single line. Works with Claude Code, Gemini, Copilot, Cursor and any other absolutely for free.
v2.3.1 · MIT
A Claude Code plugin that solves the same problems as community frameworks (GSD, BMAD, Ralph, Agent OS) — but using the tool's native architecture instead of fighting it.
— · AGPL-3.0-only
Create, verify, sign, publish, and run dossiers — the open standard for versioned, signed agent skills. Host them anywhere and verify who wrote them. The dossier ⇄ Claude Code skill bridge (install-skill / skill-export).
v3.2.2 · MIT
The AI-native CLI-first React component library. 160+ animated, accessible, production-ready components with MCP Server support for Cursor, Claude & GitHub Copilot. Copy-paste architecture — you own the code.
v0.1.0 · MIT
Your thinking deserves a map: an infinite canvas where LLM conversations grow into an editable thought graph. Wires are the context.