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 Newest113 repos · page 2/4

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.

4.6k430C++

crate/

crate

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

4.4k602Java

CaviraOSS/

OpenMemory

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

4.3k491TypeScript

giancarloerra/

SocratiCode

Enterprise-grade (40m+ LOC) codebase intelligence, zero-setup, local & private Plugin/Skill/Extension or MCP: hybrid semantic search, polyglot dependency graphs, symbol-level impact analysis & call-flow, interactive HTML viewer, cross-project & branch-aware search, DB/API/infra knowledge. 61% less tokens, 84% fewer calls, 37x faster. Cloud in beta.

3.1k396TypeScript

zilliztech/

attu

The Best GUI for Milvus

3.0k218Shell

pinecone-io/

examples

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

3.0k1.1kJupyter Notebook

pingcap/

autoflow

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

2.8k177TypeScript

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。

2.5k557Java

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.

2.4k689Jupyter Notebook

vearch/

vearch

Distributed vector search for AI-native applications

2.3k362Go

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。

2.2k357JavaScript

tensorchord/

pgvecto.rs

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

2.2k84Rust

vasu-devs/

JustHireMe

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

2.2k349Python

neuron-core/

neuron-ai

The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that can interact with your data.

2.0k228PHP

featureform/

featureform

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

2.0k108Go

SeekStorm/

SeekStorm

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

1.9k67Rust

matrixorigin/

matrixone

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

1.9k303Go

peremartra/

Large-Language-Model-Notebooks-Course

Practical course about Large Language Models.

1.8k447Jupyter Notebook

supervc-stack/

VectorChord

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

1.7k70Rust

parthsarthi03/

raptor

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

1.7k231Python

dingodb/

dingo

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requirements of high concurrency and ultra-low latency.