195 AI and ML repositories matching this view, measured from our own daily snapshots · page 1 of 2
Growth figures are ours: 51,471 daily star snapshots stored across 2,497 repos on 110 snapshot days since 2026-06-19. Repos with no measured line are in the index but have no stored snapshot yet, and nothing is estimated.
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.
Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
Open-source AI browser agent for web automation, undetected by anti-bot systems: a web browsing agent on a stealth Firefox that is not flagged as a bot, not blocked, and does not trigger captchas. Plain-English tasks, computer-use agent, browser MCP for Claude Code and Gemini CLI.
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
The authentication glue you need.
The open-source AI Operating System
High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Low-code framework for building custom LLMs, neural networks, and other AI models
Open-source agentic workspace enterprises can make their own. Connect the systems you already run — 100+ integrations, MCP, chat tools, apps, browser, local files — with shared memory. Any agent (Claude Code, Codex), any model, or BYOK. Set up in clicks, not months. Local-first: your data never leaves your machines.
ARTEMIS turns natural-language instructions into reliable Android automation. It automates end-to-end workflows, captures logs, and integrates seamlessly with AI coding assistants such as Antigravity, Codex, and Claude Code. It also achieves 99%+ success rate on AndroidWorld Benchmark.
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
World's first open-source enterprise world model.
Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cryptographic identity. Built in Swift. Fully offline. Open source.
A lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs in the web browser, on the desktop, on mobile, and in side Jupyter notebooks.
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
Open-source Next.js template for building apps that are fully generated by AI. By E2B.
The first "code-first" agent framework for seamlessly planning and executing data analytics tasks.
Open-source, desktop-grade AI agent that gets real work done — data analysis, slides, docs, video & web research. Built on OpenClaw; runs tools on your real desktop and takes commands from your phone via WeChat, Feishu, DingTalk & Telegram.
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Playwright Model Context Protocol Server - Tool to automate Browsers and APIs in Claude Desktop, Cline, Cursor IDE and More 🔌
5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
ACI.dev is the open source tool-calling platform that hooks up 600+ tools into any agentic IDE or custom AI agent through direct function calling or a unified MCP server. The birthplace of VibeOps.
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.
PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new, MCP server
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
A simple, secure MCP-to-OpenAPI proxy server
🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
A Model Context Protocol (MCP) server that provides structured spec-driven development workflow tools for AI-assisted software development, featuring a real-time web dashboard and VSCode extension for monitoring and managing your project's progress directly in your development environment.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Easiest and laziest way for building multi-agent LLMs applications.
🤖 Build voice-based LLM agents. Modular + open source.
Where agent teams gather. Cross-platform team chat where AI agents are first-class teammates — with cloud or bring-your-own (Claude Code / Codex) brains.
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
Secure cloud-native MCP registry, gateway & orchestrator (openclaw, clawdbot for enterprises)
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
A curated list of 100+ libraries and frameworks for AI engineers building with LLMs
II-Agent: a new open-source framework to build and deploy intelligent agents
RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology.
LLM-as-a-Verifier is a general-purpose framework that provides fine-grained feedback for any agent without requiring additional training. It achieves SOTA performance across coding, robotics, and medical agentic benchmarks.
A TypeScript framework for building MCP servers.
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.
Data framework for your LLM applications. Focus on server side solution
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.
A Model Context Protocol server for converting almost anything to Markdown
DeepTeam is a framework to red team LLMs and AI agents.
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
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.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
SDG is a specialized framework designed to generate high-quality structured tabular data.
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces, such as o1,ollama, gemini, grok, qwen, GLM, deepseek, kimi,doubao. Adapted to local llms, vlm, gguf such as llama-3.3 Janus-Pro, Linkage graphRAG
🤖Self-Modifying Framework from the Future 🔮 World's First AMS
AI code-writing assistant that understands data content
An agent skill based on the "Details that make interfaces feel better" article
Web Crawling and RAG Capabilities for AI Agents and AI Coding Assistants
The Enterprise Architecture Governance Harness — strategy, architecture, delivery, and assurance using AI coding assistants
Your personal AI assistant at all-in 888KiB (~35KB in app code). Running on an ESP32. GPIO, cron, custom tools, memory, and more.
☔ 敏捷开发最强大易用的接口工具，机器学习零代码测试与 AI 问答、生成代码与静态检查、生成文档与光标悬浮注释，腾讯、华为、SHEIN、传音、工行等使用 ☔ The most advanced tool for HTTP API. Machine learning no-code testing and AI assistant, generating codes and static analysis, generating comments and floating hints. Used by Tencent, Huawei, SHEIN, TRANSSION, ICBC, etc.
n8n skillset for Claude Code to build flawless n8n workflows
🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai
Seamless integration between Claude Code AI assistant and Neovim
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
A list of AI coding tools (assistants, completions, refactoring, etc.)
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
非官方 Kimi Slides Skill：让 AI Agent 生成可编辑 PPTD + PPTX，并附带本地浏览器编辑器 Unofficial Kimi Slides skill for AI agents — generate editable PPTD + PPTX with a local browser editor
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
MCP server for Apple Developer Documentation - Search iOS/macOS/SwiftUI/UIKit docs, WWDC videos, Swift/Objective-C APIs & code examples in Claude, Cursor & AI assistants
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Turn any AI agent into a computational researcher. HexStellar Cortex delivers software-accelerated optimization, quantum computing, scientific computing, decision intelligence, and verifiable execution through a Python CLI and API—with certainty labels, verification receipts, examples, and a free sandbox. Start instantly: pip install hexstellar
[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning
A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenCode) with built‑in Skills/tools and a desktop GUI to capture, search, and reuse project knowledge across agents and repos.
AI makes things up when it reads a binary. Reverify checks its every claim against the real bytes, so you see what's actually true — AI-assisted reverse engineering you can trust. LLM proposes, deterministic tools verify. MCP server + CLI.
RooFlow - Enhanced Memory Bank System with ☢️Footgun Power☢️ Next-gen Memory Bank system with five integrated modes and system-level customization. Uses Roo Code's experimental "Footgun" feature for deep AI assistant customization while maintaining efficient token usage!
Collection of agent skills that turn your AI coder into a SAST scanner
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Meet Foreman, an eve Software Factory.
Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
DeepSeek Harness (DSH) ecosystem: curated plugins, tools, and infrastructure from dsh-external/hub and the public dsh-plugin topic.
面向抖音直播电商的 Windows 本地 AI Agent Studio，贯通主播发现、直播洞察、直播复盘与短视频内容编导的统一智能工作流。
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
DeFi toolkit for AI agents and coding assistants — deposit funds, execute trades, and manage crypto wallets. Works with Claude Code, Cursor, Windsurf, OpenClaw, CrewAI, AutoGPT, and other AI agent frameworks.
Alternative code to use xiaozhi ai devices in esphome/home assistant.
A SPDD AI Coding Assistant Command Template Manager
Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network.
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Unofficial agent skills + reference guide that teach AI coding assistants to write Rails the 37signals way — extracted from Fizzy, Campfire, and DHH's code reviews
AI-friendly semantic code search engine for large codebases. Combines ripgrep speed with tree-sitter AST parsing. Powers AI coding assistants with precise, context-aware code understanding.
Vue, Nuxt, and NuxtHub skills for AI coding assistants.
《AI 研发提效：构建 AI 辅助编码助手》 —— 介绍如何 DIY 一个端到端（从 IDE 插件、模型选型、数据集构建到模型微调）的 AI 辅助编程工具，类似于 GitHub Copilot、JetBrains AI Assistant、AutoDev 等。
A completely private and local AI coding assistant, developed by Gensyn. It helps you practice programming problems and train a novel assistant to help you code.
An infinite canvas for your AI coding agents. Every repo is a region on one zoomable live map - watch Claude Code, Codex, and Cursor sessions, plans, tool calls, and file changes in real time. Local, zero-dependency.
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
A curated list of awesome developer tools and services — from cloud platforms and IDEs to AI-powered coding assistants and productivity utilities.
Frozen — cross-agent persistent memory for coding assistants. Still works; the compressed-memory core now ships inside JuliusBrussee/caveman.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
[EMNLP 2025] ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
Community-driven AI agent skills for Claude Code, OpenCode, and other AI assistants. Curated patterns and community contributions.
Open-source multi-provider AI gateway for Claude Code and other coding agents, with model routing, streaming, tools, reasoning, fallbacks, and local model support
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
🤖 Bring your Figma design & development pipeline to the next level - with design to code, in-design-content-management, component management, tools for faster design
Enterprise-grade AI marketing automation for Claude Code, Cursor, GitHub Copilot, and any AI assistant supporting agents & skills
Fullstack "Chat with your PDFs" RAG (Retrieval Augmented Generation) app built fully on Cloudflare
MCP server for AI agents that need a phone number: order a private number in 200+ countries, read the SMS verification code, hand it back. The widest country coverage in the category, and you can check it with one API call.
Free open-source extractor for AI coding assistant chat histories. Supports Claude Code, Cursor, Windsurf, Aider, Cline/Roo Code, and more.
[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
React design system for agentic interfaces. Every free BoardUI component as source, with a working AI chat app on your own model key as the homepage.
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
A Survey on Multimodal Retrieval-Augmented Generation
💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.
AI agent that builds a live biosecurity world around any target.
Super-tool for vibe coders & system admins — terminals, SSH, SFTP, RDP/VNC, dashboards, install helpers, and a built-in AI assistant.
The official repo of GraphRAG-Bench for evaluating GraphRAG models. "When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation". (ICLR'26)
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
Vision-Augmented Retrieval and Generation (VARAG) - Vision first RAG Engine
An open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.
Turn any website into a compact CLI tailored for AI agents. Browse the web in hundreds of tokens, not tens of thousands.
Personal AI assistant for work inside corporate constraints, built on coding agents and the tools, sessions, and permissions you already have.
Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)
✨✨[NeurIPS 2025] This is the official implementation of our paper "Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension"
[NeurIPS 2025] Official resources of "HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation".
AutoDev - 🧙the AI-powered coding wizard . Put the most loved AutoDev AI assistant into your VSCode, and have things done quickly
LightningRAG is a full-stack Vue + Gin starter with a decoupled frontend and backend, plus built-in, extensible RAG (retrieval-augmented generation): knowledge bases, vector search, and integrations with many LLM and vector-store providers
A curated list of retrieval-augmented generation (RAG) in large language models
QodeAssist is an AI-powered coding assistant plugin for Qt Creator
Easy Code (formerly DeepV Code) — A highly customizable AI coding assistant compatible with all major AI models. The perfect alternative to Claude Code and Codex, offering deep code analysis, intelligent suggestions, version rollback, multi-device sync, and automated testing across multiple languages and platforms.
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
Retrieval-augmented generation (RAG) template powered by the AI SDK.
Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!).
Prompt-as-Code for Enterprise AI. Standardize, audit, and deploy instructions across any AI coding assistant.
An NVIDIA AI Workbench example project for Retrieval Augmented Generation (RAG)
Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules, TODOs, and handoff.
Agent skills that make AI coding assistants write production-grade robotics software. ROS1, ROS2, design patterns, SOLID principles, and testing — for Claude Code, Cursor, Copilot, and any SKILL.md-compatible agent.
A-RAG: Agentic Retrieval-Augmented Generation via Hierarchical Retrieval Interfaces. State-of-the-art RAG framework with keyword, semantic, and chunk read tools for multi-hop QA.
This is an implementation of the paper: Searching for Best Practices in Retrieval-Augmented Generation (EMNLP2024)
Practical techniques for coding with ai assistants (Claude Code, Codex CLI, Cursor, GitHub Copilot, etc). Available in: English • Español • Deutsch • Français • 日本語
🧠 Guide to Building RAG (Retrieval-Augmented Generation) Applications