by Rachnog · Agent Tool · ★ 140
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Neurons Lab Intro to LLM Agents workshop This is a workshop to introduce the concept of LLM agents and how to build them using the Langchain platform. Hosted by Neurons Lab and led by me, Alex Honchar. The link to the YouTube recording is here. Run in Google Colab Planning and reasining Different types of memories Various types of tools Building complete agents Project setup You need to install the following libraries in a fresh .venv environment: Then, ensure
| Stars | 140 |
| Forks | 42 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 56.5824786915713/100 |
| Open Issues | 3 |
| Last Updated | 2024-03-16 |
| Created | 2024-02-19 |
| Est. Tokens | ~66k |
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intro_to_llm_agents is Simple introduction to LLM Agents. It is categorized as a Agent Tool with 140 GitHub stars.
intro_to_llm_agents is primarily written in Jupyter Notebook.
You can find installation instructions and usage details in the intro_to_llm_agents GitHub repository at github.com/Rachnog/intro_to_llm_agents. The project has 140 stars and 42 forks, indicating an active community.
The top alternatives to intro_to_llm_agents on Agent Skills Hub include agent-skills, awesome-android-agent-skills, claude-code-skill-factory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.