A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。

Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.

Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community.

Use sidecar next to CLI agents for diffs, file trees, conversation history, and task management with td

Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.

The leaked Anthropic reasoning protocol. Running locally. Zero-drift coding with Strict Write Discipline and adaptive Claude Opus 4.8 thinking. Mythos

A lightweight workflow engine

Public Claude Code skills for Personal Corp, product work, AI operations, and agent-assisted development

Deterministic persistent memory for AI agents.

Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.

AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).

Portable SKILLs workspace for Claude Code, Codex, and Gemini — issue-driven workflows and cross-agent collaboration via bridge scripts with session continuity.

Workflow Runtime Engine based on CNCF Workflow Specification for Agentic Workflows

FlowSteer: agents designing agentic workflows via reinforced progressive canvas editing.

Self improving agents through iterations

🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns.

The distributed app store for vibe-coded projects. Federated, AI-curated, fully static on GitHub Pages.

Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.

A 7×6 framework for agent architecture. 28 patterns, each placed at a coordinate, runnable Python code with verified engineering slices from Claude Code, Aider, OpenHands, DeerFlow. Companion to Designing AI Agents (Manning) by Jia Huang.

Engineering workflows for AI coding agents or flesh engineers. It helps absorb silent base-model quality drift.