Trending AI repositories

plastic-labs/

honcho

Memory library for building stateful agents

ashishps1/

learn-ai-engineering

Learn AI and LLMs from scratch using free resources

PySpur-Dev/

pyspur

A visual playground for agentic workflows: Iterate over your agents 10x faster

OpenBMB/

UltraRAG

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

HelixDB/

helix-db

HelixDB is an OLTP graph-vector database built in Rust on Object Storage.

ModelEngine-Group/

nexent

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

ageerle/

ruoyi-ai

面向企业级市场的一站式AI应用开发框架，支持多厂商大模型统一接入与管理，具备安全可控的企业知识库与高精度检索优化能力，提供可视化流程编排、自主决策智能体与多智能体协同调度，兼容主流 Agent Skill 协议，帮助企业与开发者零门槛快速构建安全、高效、可落地的AI智能体应用与行业解决方案。

potpie-ai/

potpie

Context Graph for AI Native SDLC

volcengine/

MineContext

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

cactus-compute/

cactus

Low-latency AI engine for mobile devices & wearables

the-open-agent/

openagent

⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org

superduper-io/

superduper

Superduper: End-to-end framework for building custom AI applications and agents.

SolaceLabs/

solace-agent-mesh

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

FellouAI/

eko

Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai

infiniflow/

infinity

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

WenyuChiou/

awesome-agentic-ai-zh

A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。

CaviraOSS/

OpenMemory

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

NVIDIA/

GenerativeAIExamples

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

GiovanniPasq/

agentic-rag-for-dummies

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

johnbean393/

Sidekick

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.

Meirtz/

Awesome-Context-Engineering

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

pinecone-io/

examples

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

pingcap/

autoflow

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

didilili/

ai-agents-from-zero

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

liyupi/

yu-ai-agent

编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

milvus-io/

bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

vearch/

vearch

Distributed vector search for AI-native applications

lioensky/

VCPToolBox

VCP 部署在 AI 模型 API 与前端应用之间，是面向AGI OS开发和探索的工业级基建示范项目。通过统一指令协议、多层级持久化记忆、分布式插件引擎及多 Agent 协作框架，将原本“无状态、无记忆、无工具调用能力”的大语言模型，彻底改造成拥有永久自我意识、物理世界操作权及群体协作智能的完整智能体系统。

vasu-devs/

JustHireMe

Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.

Ontos-AI/

knowhere

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.