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2026-11-11 · #llms · 24 个仓库 · 按 star 排序repos · by stars

1
Python★ 144,420⑂ 21,245👁 1,308● 194⑃ 926▤ 0
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
★ 144,420
2
Python★ 85,284⑂ 12,924👁 493● 458⑃ 427▤ 3
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎,预测万物
★ 85,284
3
MDX★ 79,986⑂ 8,778👁 752● 263⑃ 529▤ 0
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
★ 79,986
4
Python★ 79,324⑂ 7,384👁 377● 5,210⑃ 11,925▤ 86
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
★ 79,324
5
Python★ 60,769⑂ 9,148👁 387● 2,895⑃ 5,949▤ 253
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
★ 60,769
6
Python★ 50,012⑂ 8,728👁 210● 1,599⑃ 4,665▤ 22
Your lightweight open-source personal agent.
★ 50,012
7
Jupyter Notebook★ 49,993⑂ 7,823👁 1,262● 77⑃ 202▤ 1
Learn how to develop, deploy and iterate on production-grade ML applications.
★ 49,993
8
Python★ 42,634⑂ 7,620👁 230● 441⑃ 218▤ 6
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
★ 42,634
9
★ 42,350⑂ 5,424👁 225● 0⑃ 92▤ 0
★ 42,350
10
Jupyter Notebook★ 41,759⑂ 6,672👁 490● 54⑃ 214▤ 0
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
★ 41,759
11
TypeScript★ 37,615⑂ 3,276👁 113● 4,151⑃ 4,312▤ 133
Your Personal AI Assistant; easy to install, deploy on your own machine or on the cloud; supports multiple chat apps with easily extensible capabilities.
★ 37,615
12
Python★ 36,630⑂ 3,879👁 205● 872⑃ 1,369▤ 44
A modular graph-based Retrieval-Augmented Generation (RAG) system
★ 36,630
13
Python★ 30,629⑂ 4,210👁 168● 761⑃ 1,276▤ 75
An autonomous agent that conducts deep research on any data using any LLM providers
★ 30,629
14
Jupyter Notebook★ 30,317⑂ 3,704👁 253● 72⑃ 137▤ 2
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
★ 30,317
15
HTML★ 30,229⑂ 6,066👁 576● 43⑃ 156▤ 0
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
★ 30,229
16
TypeScript★ 27,096⑂ 2,049👁 226● 24⑃ 70▤ 0
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
★ 27,096
17
Jupyter Notebook★ 21,876⑂ 2,896👁 233● 19⑃ 68▤ 1
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
★ 21,876
18
TypeScript★ 18,081⑂ 2,201👁 2● 432⑃ 278▤ 167
Your API ⇒ Paid MCP. Instantly.
★ 18,081
19
Python★ 16,007⑂ 914👁 55● 910⑃ 1,001▤ 90
Structured Outputs
★ 16,007
20
HTML★ 15,383⑂ 1,494👁 46● 23⑃ 17▤ 0
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
★ 15,383
21
Python★ 9,843⑂ 1,359👁 116● 68⑃ 58▤ 0
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
★ 9,843
22
Python★ 9,430⑂ 798👁 61● 117⑃ 2,599▤ 27
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
★ 9,430
23
Jupyter Notebook★ 5,818⑂ 941👁 67● 58⑃ 200▤ 1
Implement a reasoning LLM in PyTorch from scratch, step by step
★ 5,818
24
Shell★ 5,670⑂ 501👁 56● 9⑃ 3▤ 0
Rules and Knowledge to work better with agents such as Claude Code or Cursor
★ 5,670
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