CodeZen
一个专注中文区的 GitHub 项目发现
所有语言
C
C#
C++
CSS
Dart
Go
HTML
Java
JavaScript
Jupyter Notebook
Kotlin
Lua
PHP
PowerShell
Python
Ruby
Rust
Shell
Swift
TypeScript
Vue
SWE-agent
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
firecrawl
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
Cradle
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.
dbrx
Code examples and resources for DBRX, a large language model developed by Databricks
Awesome_GPT_Super_Prompting
ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.
ChatGPT-On-CS
基于大模型的智能对话客服工具,支持微信、拼多多、千牛、哔哩哔哩、抖音企业号、抖音、抖店、微博聊天、小红书专业号运营、小红书、知乎等平台接入,可选择 GPT3.5/GPT4.0/ 懒人百宝箱 (后续会支持更多平台),能处理文本、语音和图片,通过插件访问操作系统和互联网等外部资源,支持基于自有知识库定制企业 AI 应用。
torchchat
Run PyTorch LLMs locally on servers, desktop and mobile
kimi-free-api
🚀 KIMI AI 长文本大模型逆向API【特长:长文本解读整理】,支持高速流式输出、智能体对话、联网搜索、探索版、K1思考模型、长文档解读、图像解析、多轮对话,零配置部署,多路token支持,自动清理会话痕迹,仅供测试,如需商用请前往官方开放平台。
LLocalSearch
LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.
code2prompt
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
WrenAI
⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered business intelligence in seconds.
graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system