AI open source project

Kode is a powerful AI assistant that runs directly in your computer terminal. You can think of it as a programmer working with you, it understands your codebase, edits files for you, and executes command line instructions to handle the entire development process. Unlike other tools, Kode can simultaneously...

mcp-echarts is a tool that allows AI Large Language Models (LLMs) to dynamically generate Apache ECharts visualization charts. It plays the role of a Model Context Protocol (MCP) server, which can be invoked by AI assistants to create rich ..... based on user-entered commands and data

nanocoder is an AI programming tool that runs in a local terminal environment, with a core design philosophy of "local first" to protect user privacy and data security. The tool allows developers to interact with AI on their own computers through a command line interface to write, review, and rewrite code...

LlamaFarm is a full-featured modular AI development framework with a core design philosophy of "local-first development, deploy anywhere". The framework allows developers to build, test, and run complete AI systems on their own computers, and then seamlessly deploy the same code to production environments, whether it's a corporate...

DbRheo-CLI is a command line agent tool for database operations and data analysis. It allows users to give commands in natural language, which the tool converts into safe SQL queries and executes. The tool also automatically explores and analyzes the structure of the database and has a built-in risk assessment system that pre...

M3-Agent is a multimodal intelligent body framework developed by the ByteDance SEED team. Its core feature is a long-term memory capability, capable of building and continuously updating its memory by processing real-time video (watching) and audio (listening) inputs, just like humans. This memory system does not just record...

AlignLab is an open source project developed by the OpenAlign team that provides a complete set of frameworks and tools dedicated to aligning large language models. By "alignment", we mean making the model's behavior and output more consistent with human expectations and values, such as ensuring its safety, authenticity, unbiasedness, and...

AI Proxy Worker is a serverless proxy script deployed on Cloudflare Workers. It is primarily used to solve a core problem: how to securely invoke AI model services in a front-end application or client without exposing critical API keys. This tool takes the user's API secret...

AIWeChatauto is an automated content creation and publishing platform designed specifically for WeChat public number operators. The core goal of this open source tool is to streamline and automate the entire workflow from content selection, article writing, image matching, formatting and layout to final publishing. It does this by integrating multiple mainstream AI big...

Qwen3-FineTuning-Playground is an open source project that provides a complete code base dedicated to fine-tuning the Qwen3 family of large language models. The basis of this project is to provide clear, professional and easily extensible fine-tuning code examples so that developers and researchers can easily practice...

Parlant is an open-source framework for AI intelligentsia that aims to address the core challenges faced by current large-scale language models (LLMs) in real-world applications: unpredictability and lack of controllability. When building AI intelligences, developers often encounter models that ignore system prompts, produce hallucinatory answers, or are unable to handle edge...

ZCF (Zero-Config Claude-Code Flow) is a command line tool whose main function is to help developers quickly configure and use an AI programming environment called "Claude Code". For developers who want to utilize AI-assisted code writing, but don't want to manually perform complex setups to...

LightRAG is an open-source Python framework developed by a team from the School of Data Science at the University of Hong Kong to simplify and accelerate the process of building Retrieval Augmented Generation (RAG) applications. It does this by combining knowledge graphs with traditional vector retrieval techniques to provide more accurate and contextualized Large Language Models (LLMs)...

RAG-Anything is a fully integrated multimodal document processing RAG system built on LightRAG. Most of the traditional question and answer systems (RAG) can only process plain text content, but the documents we come into contact with on a daily basis, such as PDFs, Word documents or presentations, often contain text, images, tables...

fuck-u-code is a dedicated code quality analysis tool designed to detect the complexity and messiness of a project's code and give it an intuitive "Shit Mountain Index" score. The tool runs locally and does not upload any code over the Internet, ensuring code security. It supports the most popular languages including Go, Ja...

Verifiers is a library of modular components for creating Reinforcement Learning (RL) environments and training Large Language Model (LLM) agents. The goal of this project is to provide a set of reliable tools that allow developers to easily build, train, and evaluate LLM agents. Verifiers contains a transfor.....-based

Streamdown is a React component developed by Vercel as a direct replacement for the well-known library react-markdown. The core design goal of this tool is to solve the Markdown rendering problem encountered when working with streaming text generated by AI models. In the AI chat...

MCPMark is a benchmark test for evaluating the capabilities of large model intelligences (Agentic). It measures the level of autonomous planning, reasoning and execution of complex tasks by stress-testing models in a series of real software environments integrated with the Model Context Protocol (MCP). The test environments cover ...

SpatialLM is a large language model designed specifically for processing three-dimensional (3D) point cloud data. Its core function is to understand unstructured 3D geometric data and transform it into structured 3D scene representations. These structured outputs contain architectural elements (e.g., walls, doors, windows) as well as objects with orientation...