Open Source Radar

Trending AI repositories

Tracked daily across the agentic ecosystem. Velocity is computed from our own snapshot history — collecting the first week of data now; repos are linked to the startups behind them.

1,381

Repos tracked

Linked to catalog

Jul 12

Last snapshot

TopicAll Agents MCP LLM RAG Coding agents Inference Vector DBs Browser

SortTrending Most stars Newest13 repos · page 1/1

microsoft/

ai-agents-for-beginners

12 Lessons to Get Started Building AI Agents

69k23kJupyter Notebook

NirDiamant/

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

28k3.5kJupyter Notebook

zilliztech/

claude-context

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

12k900TypeScript

activeloopai/

deeplake

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

9.2k721C++

zilliztech/

deep-searcher

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

7.9k768Python

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.

5.6k695Python

GiovanniPasq/

agentic-rag-for-dummies

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

3.6k474Jupyter Notebook

MARKTECHPOST-AI-MEDIA-INC/

AI-Agents-Projects-Tutorials

Multi-agent systems, memory, planning, reasoning loops

2.8k610Jupyter Notebook

archie0732/

healthy-diet-ai-agent

Healthy Diet AI Agent is a Bun + TypeScript backend for nutrition chat, food-image analysis, RAG document ingestion, and knowledge-grounded diet guidance.

6767TypeScript

Bessouat40/

RAGLight

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.

669101Python

lightonai/

next-plaid

NextPlaid, ColGREP: Multi-vector search, from database to coding agents.

51155Rust

java-up-up/

super-agent

企业级 AI 智能体 Agent 平台，覆盖智能对话、文档知识问答、联网搜索、RAG 检索、MCP 工具协议、Skills 扩展等完整能力。三层执行器体系、双通道混合检索、组合式切块引擎、会话记忆管理、全链路可观测，每个环节都经过深度设计和工程化打磨。

23873Java

ather-techie/

rag-interview-system

A complete collection of RAG interview questions, answers (505 questions & 41 RAG types), system design scenarios, architecture patterns, and production-ready concepts.

8112Jupyter Notebook