GitHub Trending

QwenLM/Qwen-Agent — Agent framework and applications built upon Qwen>=3.0, featuring Function Callin

34 sec read324 views0 listens

14,262 stars | 1,354 forks | Python

Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.

What it does

Qwen-Agent is a Python framework for building LLM applications with features like function calling, memory capabilities, and code interpretation. It includes examples such as browser assistants and showcases the Qwen model's advanced reasoning abilities.

Why it matters: Explore the power of Qwen-Agent, a Python framework for developing LLM applications with advanced features and examples like browser assistants. #QwenAgent #AI

View on GitHub

Trending today with 684 new stars

Want to create content about this repo? Use Nemati AI tools to generate articles, tutorials, and social posts.

You Might Like

GitHub Trending3 days ago34 sec read

vllm-project/vllm — A high-throughput and memory-efficient inference and serving engine for LLMs

94,317 stars | 23,654 forks | Python A high-throughput and memory-efficient inference and serving engine for LLMs What it does vLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). It's designed...

Ali Nemati

GitHub Trending4 days ago46 sec read

headroomlabs-ai/headroom — Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20

76,077 stars | 5,913 forks | Python Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server. What it does Headroom is a p...

Ali Nemati

GitHub TrendingAug 1534 sec read

MakazhanAlpamys/Soup — Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB lapto

1,535 stars | 238 forks | Python Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. What it does Soup simplifies fine-tuning large language models with a single YAML configuration, enabling efficient training on li...

Ali Nemati