The best agent harness.

A lightweight workflow engine built the way it should be: declarative, file-based, self-contained, air-gapped ready. One binary that scales from laptop to distributed cluster. Used as a sovereign AI-agent orchestration infrastructure.

一个基于 AI 的 Hacker News 中文播客项目，每天自动抓取 Hacker News 热门文章，通过 AI 生成中文总结并转换为播客内容。

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-tested skills.

Vibe-Skills is an all-in-one AI skills package. It seamlessly integrates expert-level capabilities and context management into a general-purpose skills package， enabling any AI agent to instantly upgrade its functionality—eliminating the friction of fragmented tools and complex harnesses.

基于AI的工作效率提升工具（聊天、绘画、知识库、工作流、 MCP服务市场、语音输入输出、长期记忆） | Ai-based productivity tools (Chat,Draw,RAG,Workflow,MCP marketplace, ASR,TTS, Long-term memory etc)

Plan-first AI workflow plugin for Claude Code, OpenAI Codex, and Factory Droid. Zero-dep task tracking, worker subagents, Ralph autonomous mode, cross-model reviews.

Document-driven AI development for AI coding assistants.

Turn AI conversations into organized, reusable workflows — across major AI platforms. | 把 AI 对话转化为可组织、可复用的工作流，适用于主流 AI 平台

rUv's Claude-Flow, translated to the new Gemini CLI; transforming it into an autonomous AI development team.

A structured prompt pipeline that turns vague ideas into implementable RFCs — works with any AI assistant.

Engineering workflow layer for AI coding tools with specs, review, quality gates, and traceability.为 AI 编程工具提供工程化流程、质量门禁与可追溯能力。

Practical AI collaboration playbook for research, writing, reading, and coding: article, prompts, agent rules, and reusable skills.

🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr

A durable workflow execution engine for Elixir

SDD toolkit for Cursor IDE — /specify, /plan, /tasks to turn ideas into specs, plans, and actionable tasks.

Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video

The memory layer for AI-native development — giving AI persistent understanding of your software projects.

Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.