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SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 111 days ago, with 108 contributors on GitHub.
Peaked at #2 in the weekly ranking the week of Dec 14, its best in the past year.
Use Cases & Benefits
- Provides a comprehensive tutorial to build AI-native multi-agent systems from foundational theory to practical implementation using Python.
- Offers a systematic, hands-on learning path combining theory, code frameworks, and real-world projects to transform users from LLM users to intelligent agent builders.
- Use for AI developers and students seeking to understand and implement core principles and architectures of intelligent agents.
- Use for practitioners wanting to build and customize multi-agent applications like intelligent travel assistants and simulated social environments.
- Use for learners aiming to master advanced agent techniques including memory, context engineering, communication protocols, and agent training with reinforcement learning.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
English | 中文
🤖 《从零开始构建智能体》 从基础理论到实际应用，全面掌握智能体系统的设计与实现
如果说 2024 年是"百模大战"的元年，那么 2025 年无疑开启了"Agent 元年"。技术的焦点正从训练更大的基础模型，转向构建更聪明的智能体应用。然而，当前系统性、重实践的教程却极度匮乏。为此，我们发起了 Hello-Agents 项目，希望能为社区提供一本从零开始、理论与实战并重的智能体系统构建指南。
Hello-Agents 是 Datawhale 社区的系统性智能体学习教程。如今 Agent 构建主要分为两派，一派是 Dify，Coze，n8n 这类软件工程类 Agent，其本质是流程驱动的软件开发，LLM 作为数据处理的后端；另一派则是 AI 原生的 Agent，即真正以 AI 驱动的 Agent。本教程旨在带领大家深入理解并构建后者——真正的 AI Native Agent。教程将带领你穿透框架表象，从智能体的核心原理出发，深入其核心架构，理解其经典范式，并最终亲手构建起属于自己的多智能体应用。我们相信，最好的学习方式就是动手实践。希望这本教程能成为你探索智能体世界的起点，能够从一名大语言模型的"使用者"，蜕变为一名智能体系统的"构建者"。
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+13,862 stars over 86 days across 17 snapshot days; best day +380 on Sep 4.
Forks
10.7K+1.7K
Open issues
172+24
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 450.0K | +22.9K | 75 | 16 days ago |
| vercel-labs/agent-desktop | 21.4K | +8.7K | 75 | 5 days ago |
| milind-soni/OpenMausBot | 20.6K | +8.4K | 75 | today |
| stablyai/orca | 121.4K | +6.7K | 75 | today |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| datawhalechina/hello-agents | 86.2K | — | 49 | 111 days ago |
| Category median | 115.8K | +8.4K | 75 | — |
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