aura
AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.
Retrieval-augmented generation (RAG) makes a language model answer from your own documents. The text is split into chunks, turned into vectors and stored in an index, and the most relevant chunks are added to the prompt when a question comes in. The projects here cover the whole pipeline or one part of it: document parsing, vector search, or a complete question-answering app.
Answer quality in RAG depends mostly on retrieval, not on the model. Compare how each project handles difficult documents such as PDFs, tables and scans, whether it supports hybrid search that combines keywords with vectors and re-ranking, and whether it shows which sources an answer came from.
AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.
:memo: 记录个人博客,见证成长之路 https://wangtunan.github.io/blog/
Agent Framework Samples - showcasing ways in which agent framework can be utilized.
Browser based tool to convert PDFs to Markdown
🔥🔥DatalinkX异构数据源之间的数据同步系统,支持海量数据的增量或全量同步,同时支持HTTP、Oracle、MySQL、ES等数据源之间的数据流转,支持中间transform算子如SQL算子、大模型算子,底层依赖Flink、Seatunnel引擎,提供流转任务管理、任务级联配置、任务日志采集等功能🔥🔥
Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.
The IQ Series is a hands-on learning experience for Microsoft IQ: Microsoft's unified intelligence layer for the enterprise, spanning Foundry IQ, Work IQ, and Fabric IQ. The series includes video episodes, Jupyter notebooks, and Azure deployment templates.
Goink 桌面 AI 小说创作助手,对话式写作 + 自动状态追踪 + 本地语义搜索。跨平台开箱即用。AI Agent Novel Generator.
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.
一个本地优先的AI知识库系统(RAG),用于把本地文档接入辅导搜索与大模型对话流程。目前支持md、txt、pdf(文本)、xlsx、cvs类型。支持mcp服务
基于 LangChain/LangGraph 的 ReAct Agent ,结合 RAG、工具调用与 Streamlit 界面,面向智能客服与报告生成场景。
Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.
Dynamic-memory-first collaborative AI framework for long-form story generation, chapter planning, and coherent narrative writing
Deepdive skill for Claude Code — 12-phase research pipeline: plan-review gate, parallel sub-agent search, claims-ledger triangulation with dissent protection, relevance × authority evidence filter, multi-angle red team, four-layer citation verification. 105 blocks, 29 channels, 460+ stat sources, 47 APIs, 1072 verified endpoints.
Program that lets you ask questions about your documents, audio, and video files.
Claude Code skill for OWASP security best practices (2025-2026). Includes Top 10:2025, ASVS 5.0, Agentic AI security, and 20+ language-specific security quirks.
🦛 CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library
DataMate is an enterprise-level data processing platform designed for model fine-tuning and RAG retrieval.
A Fork of Rikkahub with an overhauled UI and feature additions
本地优先的二次元陪伴学习应用 · Local-first anime companion and study app.
🌱 Argus 是一个基于 RAG 架构的开源知识库平台,后端采用 Java 21 + Spring Boot + MyBatis-Plus + PostgreSQL/pgvector,前端采用 Vue 3 + TypeScript + Element Plus,AI 层基于 Spring AI Alibaba(通义千问)+ ReactAgent 图引擎,以 MinIO + Elasticsearch 为存储与检索引擎。
Local-first AI conversation memory hub to capture, search, summarize, and export chats across major AI platforms. 本地优先的 AI 对话记忆与知识中台。
High-performance AI memory retrieval for local agent history — a Rust search core (SDK / API / JSON CLI) plus a desktop GUI. Tantivy + Jieba keyword search, optional semantic recall, stable Turn/Run/Session/Project IDs.
Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.