π» Vibe Coding 101ο½Your First Course For AI Product Builders.
Userscript that alerts you when a Github repo uses genAI
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
#1 Persistent memory for AI coding agents based on real-world benchmarks
π¦ Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
A gallery that showcases on-device ML/GenAI use cases and allows people to try and use models locally.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
Effortlessly compose, extend, and observe every service in real-time for the first time ever.
Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.
MCP Toolbox for Databases is an open source MCP server for databases.
The Cloud Native AI Platform
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Open GenAI Stack
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
ZenML π: One AI Platform from Pipelines to Agents. https://zenml.io.
Langchain + Docker + Neo4j + Ollama
Neo4j graph construction from unstructured data using LLMs
Cost-efficient and pluggable Infrastructure components for GenAI inference
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms β 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
π§βAutoDev: the Multi-Agent coding development platform built on Kotlin Multiplatform.
Agent framework for the JVM. Pronounced Em-BAY-bel /ΙmΛbeΙͺbΙl/
Optimizing inference proxy for LLMs
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
Google Gen AI Python SDK provides an interface for developers to integrate Google's generative models into their Python applications.
LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
OpenLIT is the open-source agent harness engineering platform: trace, evaluate, guard, and improve everything around the model in your AI agents, on OTEL.
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Build, run and scale AI agents like API and microservices
Infrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a right brain, storing information and emotions respectively, while a fully streaming architecture eliminates latency at the fundamental level.
China Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intelligent agents, workflows, and rag, and also supports model management. The platform features a developer-friendly license, and we welcome all developers to build upon the platform.
GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
TypeScript/JavaScript SDK for Gemini and Vertex AI.
[GenAI Application Development Framework] π Build GenAI application quick and easy π¬ Easy to interact with GenAI agent in code using structure data and chained-calls syntax π§© Use Event-Driven Flow *TriggerFlow* to manage complex GenAI working logic π Switch to any model without rewrite application code
The backend agents build with - Multimodal database, orchestration, and serving in one file
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Build AI agents for your PC
A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
An open-source, code-first Typescript toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
A set of tools that gives agents powerful capabilities.
Neo4j GraphRAG for Python
Neural Network Compression Framework for enhanced OpenVINOβ’ inference
Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications.
[ICLR 2026] LightMem: Lightweight and Efficient Memory-Augmented Generation