Rankify
DataScienceUIBK
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets a…
OPENAGENTSKILL / DIRECTORY
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Results: 567
DataScienceUIBK
🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets a…
bzsanti
Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps.
Rimagination
Extract Bilibili videos into learning-oriented Markdown notes with full subtitle and comment archives
QmiAI
An open-source AI content search engine designed specifically for content creators. Supports extraction of text, images, and short videos. Allows full local deployment (…
mage0535
🧠 Production-grade memory sidecar for AI agents — gbrain + Hindsight + 3-tier recall. Agent-agnostic, battle-tested. | 生产级外挂记忆系统,兼容Hermes/Claude/Cursor等任意AI智能体
RapidFireAI
RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning
guoguo-tju
公开的 Java 后端 / AI Agent / 系统设计 / 算法面试复习资料库
andreiramani
pgvector - a PostgreSQL extension (native compiled in Microsoft Windows environment)
TIMAN-group
ICML 2026 · Plug-and-play long-term memory for LLM agents
Berserk-hub150
AI-powered Moodle plugin for tutoring, quizzes, mind maps, RAG course materials and more.
linyshdhhcb
本项目是一个基于 RAG 的生猪健康管理智慧医药系统,集成了 AI 兽医诊断、疾病管理、药品管理、文章资讯管理等功能模块,旨在通过数字化手段提升生猪养殖的医疗管理水平。系统基于 Spring Boot 3 + Spring AI + Milvus + MySQL 8 + MyBatis-Plus + Ollama / DeepSeek…
bishwaghimire
A complete, structured hub for learning Artificial Intelligence — covering AI, Machine Learning, Deep Learning, and Data Science with books, roadmaps, and curated resour…
kevin-hs-sohn
Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and OpenClaw.
runify-dev
轻量白盒多智能体平台 —— 可视化编排工作流,多 Agent 协作,高精度知识召回,企业级权限管理,统一对话管理。支持低成本嵌入第三方系统,200MB 低资源即可运行。
baidubce
appbuilder-sdk, 千帆AppBuilder-SDK帮助开发者灵活、快速的搭建AI原生应用
steveyeow
Read books the way Feynman did — along with a continuously evolving network of agent-simulated great minds