SUMMARY AI要約 by gpt-5-mini
A structured learning repo for people who want to move from LLM basics to building multi-agent systems. Intended users: developers, researchers, self-learners with basic Python/git who want either to use CLI agents or to build agents from scratch. Key content: an 8-stage roadmap (with two shared hubs), two tracks (Track A: CLI Power User; Track B: Agent Builder), 240+ curated projects with runnable notes, 23 starter exercises (dual-path Ollama/Anthropic SDK examples and tests), and guided walkthroughs (e.g., a 7-step agent build). Covers token/LLM basics, prompt/context engineering, tool use, agent frameworks, Claude Code ecosystem (MCP/Skills/Plugins/Subagents), RAG/memory, multi-agent orchestration, interfaces (computer/browser/sandbox). MIT-licensed and maintained in Traditional Chinese, Simplified Chinese, and English.
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GitHub Topics
使用言語(バイト数比)
オーナー情報
PhD @ Lehigh | Behavioral decision-making under flood risk | Agent-Based Model (ABM) + Catastrophe modleing (CAT) | LLM agents
日付
| GitHub作成日 | 2026-05-04 |
| 最終Push | 2026-05-09 |
| 当サイト初検出 | 2026-05-09 |
| 最終取得 | 2026-05-09 18:12 |
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