About
The mission, content sources, and channels of agents101.
Mission
agents101 provides systematic best practices for developers building with AI agent tools and large language models. We cover six channels — Agent Engineering, LLM Guide, Claude Code, Codex, OpenClaw, and Hermes — integrating open-source community knowledge, expert experience, and in-depth reports into one place, helping developers go from beginner to expert.
Content Sources
This site is built on open-source projects, official documentation, and
community resources. For example, the Claude Code channel draws from the
claude-code-best-practice project; other channels synthesize
official docs (Anthropic, OpenAI, and others), conference talks, and
practitioner write-ups. Content is compiled for learning and reference.
Channels
The site is organized into six channels, each a self-contained guide:
- Agent Engineering. LLM basics → RAG → tool calling → multi-agent → production. The complete engineering path.
- LLM Guide. Math → Transformer → pre-training → SFT/RLHF → evaluation → RAG/agents/deployment. Build LLMs from scratch.
- Claude Code. Installation, Skills, Hooks, Subagents, Workflows, and expert insights.
- Codex. OpenAI Codex agent workflows and best practices.
- OpenClaw. Architecture, installation, channels, skills, memory, automation, deployment, and real-world recipes.
- Hermes. A self-improving agent on your server + 23 messaging platforms.
Languages
Content is available in English, 简体中文, 日本語, 한국어, and Español.