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。

A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.

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

superglue (YC W25) builds integrations and tools from natural language. Get production-grade tools for long tail and enterprise systems.

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.

Design visual, review-gated agent loops for Claude Code before you run them.

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

Agent-driven pipeline that turns raw material (PDFs, slides, syllabi, papers, URLs) into structured, teaching-quality Obsidian notes: ingest, compile, distribute.

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

A lightweight workflow engine

The skill layer for AI agents: npm for AI Agent Skills.

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

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).

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.

Mythos Router 2026: Zero-Drift Local Reasoning Protocol with Adaptive Claude Opus 4.8

Durable MCP control plane for long-running Codex Desktop tasks

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.

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