A Unified Memory Benchmark Suite for Memory-Augmented Agents

Local-first RAG evaluation workbench — compare embedding models, visualize chunk similarity heatmaps and vector projections, tune retrieval strategies side by side

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

A Super AI Lab with massive AI Doctors as Assistants. Best IDE for Research via AI Power.

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works…

Academic Research Skills for Claude Code: research → write → review → revise → finalize

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

An agentic skills framework & software development methodology that works.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

【低代码迈入v2.0时代，一句话即可生成整个系统】企业级AI低代码平台，一键生成前后端代码甚至整个系统。 AI Skills 一句话画流程、设计表单、生成报表、大屏。内置 AI应用平台涵盖：AI聊天、知识库、流程编排、MCP插件等，兼容主流大模型。引领AI低代码「Skills 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式，解决 Java 项目 90% 重复工作，提高效…

Chrome DevTools for coding agents

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Public repository for Agent Skills

A collection of ready-to-use Python sample agents built with AgentScope and AgentScope Runtime, covering use cases from CLI tools to full-stack applications.

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

Header-only C++/python library for fast approximate nearest neighbors

Navigating Spreading-out Graph For Approximate Nearest Neighbor Search

Connect your devices into a secure WireGuard®-based overlay network with SSO, MFA and granular access controls.

Benchmarks of approximate nearest neighbor libraries in Python

A Comprehensive Survey and Experimental Comparison of Graph-based Approximate Nearest Neighbor Search

A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such algorithms.

An Experimental Evaluation of the State-of-the-Art Graph-Based Vector Search Methods and Techniques

Automated Evaluation of RAG Systems

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

Pytorch Implementation of LoG 22 [Oral] -- Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification

A PyTorch + torch-geometric implementation of IACS, as described in the paper: Shuheng Fang, Kangfei Zhao, Yu Rong, Zhixun Li, Jeffrey Xu Yu. [Inductive Attributed Community Search: to Learn Commun…

Graph meta learning via local subgraphs (NeurIPS 2020)