292 个
专注后端的 fullstack 与 applied AI 开发。基于 LLMs 与 agents 构建有趣的项目，执着于 clean architecture 与零缺陷代码的生产部署。Backend-focused fullstack & applied ai dev. Building cool stuff with LLMs & agents. Obsessed with clean architecture & shipping no-bug code to prod.
隐私优先的开发者情报——从信息噪声中提取真正重要的内容。Privacy-first developer intelligence — surfaces what matters from the noise
开放式数据库工程课程 · 14 个模块共 64 节课 · 210 小时 · 涵盖概念建模、分布式架构、运维及面向 AI 的数据恢复 · 109 项参考文献（带 ISBN、DOI 或标准号），逐课引用并在 CI 中校验 · 5 个零依赖可执行实验 · 256 题自测 📚🗄️ Programa abierto de ingeniería de bases de datos · 64 clases en 14 partes · 210 horas · Del modelado conceptual a la arquitectura distribuida, la operación y la recuperación para IA · 109 fuentes con ISBN, DOI o norma, citadas clase a clase y verificadas en CI · 5 laboratorios ejecutables sin dependencias · Autoevaluación de 256 preguntas 📚
基于 RAG 的文档问答机器人，可对任意 PDF/文本文件提问。使用本地 embeddings + Groq API。学习要点：embeddings、向量搜索、分块、RAG 流水线。Document Q&A bot using RAG (Retrieval-Augmented Generation). Ask questions about any PDF/text file. Uses local embeddings + Groq API. Learns: embeddings, vector search, chunking, RAG pipeline.
用于系统综述检索的交互式工具：PICO 构建器、数据库语法转换器与邻近算子构建器。Interactive tools for systematic review searching: PICO builder, database syntax converter, and proximity-operator builder.
TickTick CLI 精通 2026 —— 终极任务管理器、MCP 与 Skill 中心。TickTick CLI Mastery 2026 - Ultimate Task Manager, MCP & Skill Hub
面向 AI Agent 工具调用的确定性 <0.1ms 不变量清算内核。零外泄 AST SQL 防火墙、数值速率限制与 Merkle GRC 审计追溯。Deterministic <0.1ms Invariant Clearance Kernel for AI Agent Tool Calls. Zero-egress AST SQL firewall, numeric velocity limits & Merkle GRC audit trails.
🧠 构建模拟人类记忆的 AI 认知架构，分离情景记忆与语义记忆，并保证多语言支持与数据完整性🧠 Build a cognitive architecture for AI that mimics human memory, separating episodic and semantic memory while ensuring multilingual support and data integrity.
将 Spark/Hive SQL 转化为结构化、可追溯的事实，供 Agent、RAG 和 AI 知识库使用。Turn Spark/Hive SQL into structured, traceable facts for Agents, RAG, and AI knowledge bases.
在同一 chunk 集合上对比 Lexical / Vector / Graph RAG，提供确定性评估、自我修正的 LangGraph agent 循环、PII 治理与 RAG 就绪度分析器。Lexical vs Vector vs Graph RAG over one identical chunk set, with deterministic evaluation, a self-correcting LangGraph agent loop, PII governance, and a RAG-readiness analyzer.
Chat2DB Community 的 Rust 产品运行时，配套 Java 数据库兼容引擎Rust product runtime with Java database compatibility engine for Chat2DB Community
最简单的可扩展自然语言数据库查询方案，快速且随规模伸缩。Simplest Natural Langauge Querying DB That scales. Fast.
AI 教材数字化与互动辅导平台：PDF/扫描教材经 MinerU OCR 结构化出题，文本 + 视觉双模型审校与确定性质量门禁；学生端七种题型互动、分层提示与错题多轮陪练闭环；FastAPI + PostgreSQL JSONB + React 19
一本关于生产级 RAG 与 agentic 系统的实用第一性原理手册，支持 RU/EN/SK，基于 Docusaurus 构建。A practical, first-principles handbook on production RAG & agentic systems — RU/EN/SK, built with Docusaurus.
本地优先的桌面端研究与引用管理器，具备 AI 辅助引用建议、语义文献库搜索、PDF 批注以及 Microsoft Word 插件。Local-first desktop research & citation manager with AI-assisted citation suggestions, semantic library search, PDF annotation, and a Microsoft Word add-in.
通过 MCP 为协作型 AI agent 提供基于 PostgreSQL 的共享记忆。Shared PostgreSQL-backed memory for collaborating AI agents via MCP
使用纯 C 从零构建 LLM 推理引擎，不依赖任何框架。Build an LLM inference engine from scratch in pure C with no frameworks.
本仓库包含用于复现论文《Pharmacological treatments for ADHD and comorbid substance use disorder: a systematic review and network meta-analysis》中数据库与分析的 R 代码。This repository holds the R codes for reproducing the databases and analyses in my paper "Pharmacological treatments for ADHD and comorbid substance use disorder: a systematic review and network meta-analysis".
面向本地优先应用与 AI Agent 的嵌入式双时态记忆引擎，采用混合检索——进程内运行，无需服务器。Embedded bitemporal memory engine with hybrid retrieval for local-first applications and AI agents — in-process, no server.
🚀 零配置将 LangChain Agent 暴露为服务；以简单包装把脚本变为 Web 服务，无需任何基础设施🚀 Expose your LangChain agents as services with zero configuration; turn scripts into web services using simple wrappers and no infrastructure setup.
🔍 在 Weaviate 混合检索中评测 embedding 模型，基于自有数据或 MTEB 数据集评估 MRR@K、Hit@K、延迟与内存占用🔍 Benchmark embedding models in hybrid search with Weaviate. Evaluate MRR@K, Hit@K, latency, and memory using your data or MTEB datasets.
基于架构决策记录（ADR）理念的 Memory Framework，用于 AI agent（Claude Code、Codex、Antigravity……）之间的知识共享。支持 agent 安装，vector（Postgres + pgvector）+ graph（Neo4j）双骨干，通过本地 gateway 管理，支持多种本地 LLM 后端，具备完整 provenance、合并、遥测等能力。Memory Framework based on the idea of Architectural Decision Records, shared knowledge between AI agents (Claude Code, Codex, Antigravity ...). Agent installable, vector (Postgres + pgvector) + graph (Neo4j) backbone, managed through a local gateway, supporting multiple local LLM backends, with full provenance, consolidation, telemetry and more
codegraph 是一个 local-first 的代码上下文引擎和面向代码仓库的 MCP server。它将源代码增量索引到轻量级 SQLite 图中，然后提供高信噪比的 tools，支持符号查找、调用图遍历、影响分析、相关测试发现和语义搜索。使用 Go 构建，单二进制工作流，专为……而设计。codegraph is a local-first code context engine and MCP server for repositories. It incrementally indexes source code into a lightweight SQLite graph, then exposes high-signal tools for symbol lookup, call graph traversal, impact analysis, related test discovery, and semantic search. Built in Go with a single-binary workflow, it is designed to work
使用 Next.js、React 和 TypeScript 构建并管理 AI 驱动的 workspace，支持自定义 UI，MIT 许可。Build and manage AI-driven workspaces using Next.js, React, and TypeScript with customizable UI and MIT licensing.
AI 构建，你决定是否上线 —— AI agent 工作的审核关卡。AI builds it. You decide if it ships. — review gates for AI-agent work.
GMS 6803 临床研究数据科学课程材料，含幻灯片、代码与实操实验，内容涵盖真实世界健康数据、基于 EHR 的队列构建、SQL、Python、统计分析与临床研究中的机器学习Course materials for GMS 6803 Data Science for Clinical Research, including slides, code, and hands-on labs on real-world health data, EHR-based cohort development, SQL, Python, statistical analysis, and machine learning for clinical research.
一次扫描即可查看机器上所有与开发者和 AI 相关的内容 —— 一款原生 Tauri 应用，将开发 + AI 环境映射为可交互的架构图。See everything Developer- and AI-related on your machine in one scan — a native Tauri app that maps your dev + AI environment into an interactive architecture graph.
Warzone2100 的 Skirmish AI 机器人Skirmish AI bot for Warzone2100
桌面端 AI 伴侣，集成 Live2D 形象、自主编码 Agent（AgentLoop）、语义记忆与确定性主动引擎——真实进程沙箱（bwrap）、权限门控工具执行、local-first（SQLite + ONNX）。Desktop AI companion with Live2D avatar, autonomous coding agent (AgentLoop), semantic memory, and a deterministic proactivity engine — real process sandboxing (bwrap), permission-gated tool execution, local-first (SQLite + ONNX).
关于精神病学障碍中迷幻疗法的活体系统综述，基于 Docker 化 Dash 应用与 PostgreSQL 后端构建。Living systematic review of psychedelic therapy in psychiatric disorders. Built as a dockerized Dash app with PostgreSQL backend.
2026 终极 AI 记忆栈：面向 LLM 的本地优先 Rust MCP2026 Ultimate AI Memory Stack: Local-First Rust MCP for LLMs
开源 DBMS 生态的 Reference Quotient 分析与可复现研究流水线。项目列表每月通过 https://github.com/birdflyi/od_label_issue_gen/tree/main/data/database_repo_label_dataframe 中的 csv 文件更新Reference Quotient analysis and reproducible research pipeline for the open-source DBMS ecosystem. The projects list are updated in the csv files in https://github.com/birdflyi/od_label_issue_gen/tree/main/data/database_repo_label_dataframe monthly.
MetaGráfica 是一种面向出版级二维矢量图形的描述语言——从纯文本编译为 EPS、SVG 或 PDF，适配科学图表与绘图，由单一自包含编译器完成。MetaGráfica is a descriptive language for publication-quality 2D vector graphics — scientific figures and plots compiled from plain text to EPS, SVG or PDF by a single self-contained compiler.
基于 Pingora 构建的纯 Rust API gateway，具备安全流量排空、不可变配置变更、限定作用域的 MCP 工具以及内置管理控制台。Pure Rust API gateway built on Pingora, with safe traffic draining, immutable config changes, scoped MCP tools, and an embedded admin console.
企业级数字支付平台：Java 21 / Spring Boot 3 微服务、Kafka 事件驱动、六边形（端口与适配器）架构，由专业 AI Agent 团队以 spec 驱动并编排，包含完整 CI/CD、GitOps 和供应链安全。Enterprise-grade digital payment platform: Java 21 / Spring Boot 3 microservices, Kafka event-driven, hexagonal (ports & adapters) architecture, spec-driven and orchestrated by a team of specialized AI agents. Includes full CI/CD, GitOps, and supply-chain security.