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GitHub seismograph — discoveries and growing interest

datawhalechina/hello-agents

AI agentsPython#agent#tutorial#llm#rag
Total stars
82,207
Today · UTC
+9since 11:35 UTC
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📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

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About the project

Datawhale's open tutorial on building AI agents from scratch: from theory (ReAct, Plan-and-Solve, Reflection) to a custom HelloAgents framework, memory, RAG, MCP and Agentic RL. Aimed at developers and students with basic Python who want to move from using LLMs to building agent systems.

Useful for
  • Follow the course and implement classic agent patterns ReAct, Plan-and-Solve and Reflection
  • Build your own HelloAgents agent framework on top of the OpenAI API
  • Study MCP, memory, RAG and Agentic RL to design multi-agent applications

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

3.3 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 9, 2026, 12:38 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

0200400July 12, 2026October 9, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-09 (UTC), 11:35–12:25: 82198 → 82207 stars (+9). This is the change over that interval.
  • Estimated end-of-day forecast: about +54 stars, using observed gains and the previous day.
  • GitHub Trending Python today: #9, +193 stars.
  • About 20 forks a day — people are taking the code.

Three GitHub discoveries in each edition

What they do, why they are gaining interest, and what to check before using them.

Editions at 10:00, 16:00, 22:00 MSK.

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Numbers

Total stars
82,207
Today
+9 stars measured 2026-10-09, 11:35–12:25 UTC, ≈ 54 by evening
Forks
10,198
Issues and pull requests
783
Watchers
232
Language
Python
Latest release
V1.0.3 · July 17, 2026
Created
September 7, 2025
Last push
October 8, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

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