A thin orchestration dashboard over Claude Code for managing context, automation, and developer headspace. You need tentacles. 🦑
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Updated
Apr 20, 2026 - TypeScript
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.
SuperOptiX: Full Stack Agentic AI Framework
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。
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.
A curated map of agentic AI systems — covering architectures, frameworks, memory, evaluation, and safety. 🌟 Star if you like it!
Agentic Testing Harness
AI coding agent orchestration - run multiple terminal sessions with scoped context, todo lists, and parent-worker coordination
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.
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.
Maps external tool surfaces (e.g., MCP servers, APIs, CLIs, SDKs) into a persistent capability registry agents can load and act on.
Harness is governance, not prompt engineering
English-first AI agent engineering handbook: orchestration, memory, RAG, tools, multi-agent systems, evaluation, and production workflows.
Application for Agent re-engineering for better and reliable Gen AI workflows.
一个系统学习 Agent 工程的中文项目:从理论到实践,由浅入深。
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