• Lecture

Agent

Intro

The Birth of An Agent: Construction of LLM-based Agents

AI Agents Architecture

Paper: AI Agents: Evolution, Architecture, and Real-World Applications

Agentic System

Blog: Building the 11 Layers of a Production-Grade MCP Server + Agentic System

AI Agent 擬人化角色與分工

Agentic IDEs

AI Gateway

Claude-Code

install: curl -fsSL https://claude.ai/install.sh | bash

OpenCode

install: curl -fsSL https://opencode.ai/install | bash
or npm i -g opencode-ai@latest

cd ~/AgenticCoding
opencode web

Beginner’s Crash course

Codex

Antigravity 2.0

OpenClaw

install: curl -fsSL https://openclaw.ai/install.sh | bash
or npm install -g openclaw@latest

openclaw onboard --install-daemon

openclaw dashboard

OpenClaw system architecture overview

OpenClaw Model Benchmark

Blog: 養龍蝦(OpenClaw)選哪個模型好？18 款模型實戰評測

Code: https://github.com/ywchiu/local_agentic_llm

Openclaw Office

Claw Family

  • NemoClaw - OpenClaw Plugin for OpenShell
  • NanoBot - Ultra-Lightweight Personal AI Assistant
  • NanoClaw - An AI assistant that runs agents securely in their own containers.
  • ZeroClaw - run on $10 hardware
  • PicoClaw - an ultra-lightweight personal AI Assistant inspired by nanobot
  • NullClaw - 678 KB binary. ~1 MB RAM. Boots in <2 ms. Runs on anything with a CPU.
  • MimiClaw - Pocket AI Assistant on a $5 Chip (ESP32-S3)

  • zclaw - The smallest possible AI personal assistant for ESP32

  • Clawra - AI companion

Hermes-Agent

Hermes-Agent architecture

install: curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

hermes -h
hermes version
hermes setup
hermes gateway setup

hermes config

hermes dashboard

hermes desktop

~/.hermes/config.yaml

hermes config edit

model:
  default: nemotron3-33b-ctx128k
  provider: custom
  base_url: http://127.0.0.1:11434/v1

OpenFang

install: curl -fsSL https://openfang.sh/install | sh

openfang init

openfang start

openfang dashboard

MCP - Model Context Protocol

MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems.
Blog: Standardizing AI Tooling with Model Context Protocol (MCP)

MCP Servers

Connect Claude Code to tools via MCP

FreeCAD-MCP

Solidworks-MCP

**https://github.com/vespo92/SolidworksMCP-TS

Skills

Agent Skills

The Skills architecture

my-skill/
├── SKILL.md          # Required: instructions + metadata
├── scripts/          # Optional: executable code
├── references/       # Optional: documentation
└── assets/           # Optional: templates, resources

https://github.com/anthropics/skills

NotebookLM-skill

Install:

mkdir -p ~/.claude/skills
cd ~/.claude/skills
git clone https://github.com/PleasePrompto/notebooklm-skill notebooklm

Run agentic coding tool:

claude or opencode

Inputs:

What are my skills?

Set up NotebookLM authentication

Add this NotebookLM to my library : https://notebooklm.google.com/notebook/c2e2c6de-0131-420e-8686-2326bc9a438a

What is Agent Skills ?

UIUX-Pro-Max-skill

Install:

npm install -g uipro-cli

uipro init --ai claude # Claude Code
uipro init --ai gemini # Gemini
uipro init --ai trae # Trae
uipro init --ai opencode # OpenCode

Go to project:

cd ~/GenAI/Skills/notebooklm

Run agentic coding tool:

claude or opencode

Inputs:

Build a landing page for my SaaS product

Paperclip

Open-source orchestration for zero-human companies

SWE-CI

Paper: SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration

OpenClaw-RL

Paper: OpenClaw-RL: Train Any Agent Simply by Talking

Agent Evolve

AgentGym

Paper: AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
Code: https://github.com/WooooDyy/AgentGym

AgentGym-RL

Paper: AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Code: https://github.com/WooooDyy/AgentGym-RL

Memento

Paper: Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Code: https://github.com/Agent-on-the-Fly/Memento

Methodology: Memory-Based MDP with Case-based Reasoning Policy

Alpha Evolve

Blog: AlphaEvolve：Google DeepMind 開創 AI 演算法自主進化新紀元

Paper: AlphaEvolve: A coding agent for scientific and algorithmic discovery

OpenEvolve

Code: https://github.com/algorithmicsuperintelligence/openevolve

Turn your LLMs into autonomous code optimizers that discover breakthrough algorithms

ShinkaEvolve

Paper: ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution

Code: https://github.com/SakanaAI/ShinkaEvolve

AlphaResearch

Paper: AlphaResearch: Accelerating New Algorithm Discovery with Language Models

Code: https://github.com/alpharesearchbot/Alpha

GSW (Generative Semantic Workspaces)

Paper: Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

MiroFish

A Simple and Universal Swarm Intelligence Engine, Predicting Anything

yoyo

yoyo: A Coding Agent That Evolves Itself

RAG-Cookbook

BookRAG

Paper: BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documents



This site was last updated June 19, 2026.

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