A thin orchestration dashboard over Claude Code for managing context, automation, and developer headspace. You need tentacles. 🦑
open source agent engineering platform: traces, evals, and metrics to debug and improve your AI agents. Integrates with LangGraph, CrewAI, Claude Agent SDK, and more.
Pixelagent — Multimodal stateful agents
BuildArena, where LLM agents design, build, and test rockets, cars, and bridges in a physics simulator given a goal-directed sentence.
AI Agent 面试知识库：覆盖 LLM、Prompt、RAG、MCP、Tool Use、Agent 架构、Multi-Agent、LangGraph、Claude Code、Codex CLI、工程化评估、安全与源码解析。
Deploys your OS, databases, and SSL on your VPS in just 10 minutes. Orchestrates a team of AI agents for coding, marketing, and sales. The built-in optimizer saves up to 90% on token costs, letting you build and manage your online business directly through chat. Fully open-source.
SuperOptiX: Full Stack Agentic AI Framework
Agentic Testing Harness
《智能体工程：从一句话到一个闭环》（Prompt · Context · Harness · Loop），本书将大语言模型驱动的智能体系统拆解为四种递进的工程范式，四种范式从 Token 到 System，从一次调用到完整的自主闭环，构成了智能体系统的完整工程视图。
Multi-agent orchestration for VS Code Copilot, Claude Code, OpenAI Codex and Cursor
Claude Code 完整教學講義：從入門到 Harness Engineering，以五層進化模型為骨架的 23 章系統化課程
Application for Agent re-engineering for better and reliable Gen AI workflows.
Bilingual hands-on roadmap for production-aware AI agents: MCP, memory, RAG, workflows, evaluation, safety, and agent colonies.
The AI engineer roadmap for agent builders: a staged path with runnable labs to build a coding agent from scratch - by AI Builder Club
AI coding agent orchestration - run multiple terminal sessions with scoped context, todo lists, and parent-worker coordination
MStack — agentic GTM, Growth, and Product. 8 plugins / 176+ skills built by Mothi Venkatesh (PMM, Cashfree Payments) to codify the structured 80% of GTM/Growth/Product work as installable Claude Code agents.
10 progressive, production-minded tutorials for learning to engineer reliable AI agent systems and harnesses with LangChain. Sole author: Cobus Greyling.
A curated collection of design patterns, reference architectures, and practical examples for building AI/ML-driven applications. Covers agent engineering, prompt design, foundational models, generative AI, context engineering, vector databases, and integration with modern cloud & tech stacks.
floop connects your AI development workflow to real user feedback.
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