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Conversational academic writing Copilot: LangGraph ReAct agent with citation tracing, faithfulness reviewer, RAG & Reflexion LaTeX self-repair ｜ 对话式学术写作 Copilot：LangGraph ReAct 智能体，引用溯源 + 忠实度审校 + RAG 检索 + Reflexion 编译自修复，端到端产出真实 PDF
面向发表的 Skill，面向务实型工程研究实验与学术写作。A publication-oriented skill for pragmatic engineering research experiments and academic writing.
保留图表的转换器 —— DOCX/XLSX 转 Markdown，采用原生 OOXML 图表数据提取（无需光栅化/OCR/VLM），并提供零损耗的复合图表标记。Converters where figures survive — DOCX/XLSX to Markdown with native OOXML chart-data extraction (no rasterize/OCR/VLM) and zero-loss composite-figure markers
集成 RAG、知识图谱、语义搜索、论文推荐与本地 LLMs 的 AI 研究助手AI Research Assistant with RAG, knowledge graphs, semantic search, paper recommendations, and local LLMs.
基于 Next.js、FastAPI 和 Supabase 的 AI 辅导应用。上传 PDF 与 URL，即可生成结构化摘要、多轮对话和自定义测验。自定义主题通过 Wikipedia、ArXiv 和 DuckDuckGo 进行联网搜索，以生成测验并围绕主题展开对话。Next.js AI tutor with FastAPI and Supabase. Upload PDFs and URLs to generate structured summaries, multi-session chat, and custom quizzes. Custom topics use web search through Wikipedia, ArXiv, and DuckDuckGo to generate quizzes and chat about the topic.
面向 LLM agent 的 MCP server，用于加拿大调整后成本基础（ACB）与资本利得：支持平均成本法与 superficial-loss 检测。MCP server for Canadian adjusted cost base (ACB) and capital gains: average-cost, superficial-loss detection, for LLM agents.
面向多源检索、证据抽取与带引用研究摘要的自主 AI 研究助手。Autonomous AI research assistant for multi-source retrieval, evidence extraction, and cited research summaries.
本地优先的研究论文工作空间与可视化 AI Agent 工作流构建器Local-first research paper workspace and visual AI agent workflow builder
🍀 OpsRAG 是基于 RAG 的技术事故调查助手，帮助 DevOps 工程师、SRE、云工程师与平台工程师排查基础设施、应用与分布式服务问题🍀 OpsRAG is a technical incident investigation assistant based on Retrieval-Augmented Generation, designed to help DevOps engineers, SREs, Cloud Engineers, and Platform Engineers investigate problems in infrastructure, applications, and distributed services.
OptiBuild 工程案例研究——一款 AI 驱动的施工现场管理平台：工程量清单解析、成本核算、进度报告与按角色划分的数据权限。Engineering case study of OptiBuild, an AI-enabled construction-site management platform: quantity-survey parsing, costing, work-progress statements and role-scoped data.
Mielepiù 工程案例研究——一款 B2B 销售平台，其 AI Agent 基于真实数据作答并给出引用来源。Engineering case study of Mielepiù, a B2B sales platform whose AI agent answers on real data and cites its sources.
AI 工程师与全栈开发者——从架构到生产，独立设计并交付完整的 AI-native 与全栈系统。AI Engineer & Full-Stack Developer — I design and ship complete AI-native and full-stack systems, from architecture to production.
Athleta 工程案例研究——一款 AI 健身产品，采用每用户一个知识图谱的设计，由 Agent 提议、用户确认。Engineering case study of Athleta, an AI fitness product with a per-user knowledge graph where the agent proposes and the user confirms.
开源数字全息显微镜（DHM）工作站：离轴全息重建、定量相位成像、自动对焦，以及基于经典 + CNN 混合管线的无参考相位检索。PySide6 GUI，可选 Apple Silicon MLX 加速，并提供面向 AI Agent 的 MCP server。Open-source digital holographic microscopy (DHM) workstation: off-axis hologram reconstruction, quantitative phase imaging, autofocus, and reference-free phase retrieval via a hybrid classical + CNN pipeline. PySide6 GUI, optional Apple Silicon MLX acceleration, and an MCP server for AI agents.
Wenshu（文枢）— 面向人文社科研究的 AI 知识处理工作流：本地知识库 / RAG / 中文引文 / 理论谱系。AI knowledge workflow for humanities & social sciences: local knowledge base, RAG, citation (GB/T 7714), knowledge graph.
The Triplicate：数据驱动的大幅面报纸排版引擎 —— docxology/template 可复现研究范式的公开范例（测试覆盖率 ≥90%，无 mock，GitHub 与 Zenodo 10.5281/zenodo.20533675 双重发布）。The Triplicate: a data-driven large-format newspaper layout engine — public exemplar of the docxology/template reproducible-research paradigm (≥90% test coverage, no mocks, double-published GitHub + Zenodo 10.5281/zenodo.20533675).
面向印度诊所的多语言医疗分诊助手—— LangChain + Groq Agent，基于 WHO 症状指南与 ICD-11 的 FAISS RAG，支持英语/印地语/卡纳达语的 Whisper 语音输入，FastAPI + PostgreSQL 后端。提供在线 demo。Multilingual medical triage assistant for Indian clinics — LangChain + Groq agent, FAISS RAG over WHO symptom guides and ICD-11, Whisper voice input in English/Hindi/Kannada, FastAPI + PostgreSQL backend. Live demo.
纯 Go 实现的分布式列式 SQL 分析引擎——对 S3 上 Parquet 进行向量化执行，无需 JVM、无需 CGo。以 Trino 级别的能力提供相当性能，却只需极小资源占用。原生支持 IPv4/CIDR/MAC 等网络类型，适用于遥测和安全场景。Distributed columnar SQL analytics engine in pure Go — vectorized execution over Parquet on S3, no JVM, no CGo. Trino-class performance on a fraction of the footprint. Network-native IPv4/CIDR/MAC types for telemetry and security workloads.
Agentic RAG：回答前对每条引用与原文进行核对，证据不足时弃答。具备自纠正检索循环、确定性引用锚定以及 prompt injection 防御能力。Agentic RAG that verifies every citation against source text before answering, and abstains when the evidence does not hold. Self-correcting retrieval loop, deterministic citation grounding, prompt-injection defence.
RAMR —— 检索增强记忆可靠性：面向 Agentic-RAG / 记忆系统的抗污染合成基准（附方法与发现）。RAMR — Retrieval-Augmented Memory Reliability: a contamination-resistant synthetic benchmark for agentic-RAG / memory systems (findings + method)
面向 20–30 岁高血压与糖尿病高风险人群的 AI 医疗 — 教练关联的饮食与运动指导平台AI healthcare for 20–30s at risk of hypertension & diabetes — Trainer-Linked Diet & Exercise Coaching Platform
全球研究者的终极 AI 驱动发现平台。统一搜索 8+ 专业数据库（NCBI、arXiv、OpenAlex），结合 Llama 3.1 驱动的综合分析、RAG 问答与自动化文献综述。The ultimate AI-powered discovery hub for global researchers. Unified search across 8+ specialized portals (NCBI, arXiv, OpenAlex) with Llama 3.1-driven synthesis, RAG chat, and automated literature reviews.
Syx 是一个面向长周期项目与编码 Agent 的实验性本地 AI 记忆系统，探索主动上下文、日记忆滚动回收、睡眠式记忆整合、长期 RAG 检索、类梦境综合以及 markdown 记忆制品Syx is an experimental local AI memory system for long-running projects and coding agents. It explores active context, daily memory rolloff, sleep consolidation, long-term RAG retrieval, dream-like synthesis, and markdown memory artifacts.
系统综述的主动学习摘要筛选。在全部 26 个 SYNERGY 数据集上基准测试：WSS@95 均值 64.1。Active-learning abstract screening for systematic reviews. Benchmarked across all 26 SYNERGY datasets: mean WSS@95 of 64.1.
Namaste AI 🚀 由 Akshay Saini（NamasteDev 创始人）出品——笔记、经验与项目记录，探索 LLMs、RAG、AI agents、MCP 及 AI 驱动应用。#AI #LLM #RAG #MCPNamaste AI 🚀 by Akshay Saini (Founder of NamasteDev) — Notes, learnings, and projects — exploring LLMs, RAG, AI agents, MCP, and AI-powered applications. #AI #LLM #RAG #MCP
使用简洁的 markdown 工作空间（基于可检视的文件）管理持久化 agent 记忆，无需复杂框架。Manage durable agent memory using a simple markdown workspace with inspectable files instead of complex frameworks.
🌐 通过 Geo-Llama 利用几何深度学习增强语言理解，结合 conformal manifolds 和递归等距变换提升 AI 模型性能。🌐 Enhance language understanding through geometric deep learning with Geo-Llama, leveraging conformal manifolds and recursive isometries for improved AI models.
本地 LLM 基准测试、RAG、语音交互与 AI 助手Local LLM benchmarking, RAG, voice interaction and AI assistant
2026 掌握 LLM 搜索：完整的语义 AI 手册Master LLM Search in 2026: The Complete Semantic AI Handbook
基于 MCP 的实时来源声明与引用验证，支持 FIGI 解析与签名投递回执。Live-source claim and citation verification over MCP, with FIGI resolution and signed delivery receipts.
面向 LLM Agent 的确定性写入时记忆整合与预取召回：采用本地模型，召回路径与整合决策中均不含 LLM。Deterministic write-time memory consolidation and pre-fetch recall for LLM agents. Local models, no LLM in the recall path or the consolidation decision.
使用 Dialectic Flow Financial Graph 分析市场趋势，模拟多方与空方辩论，获得清晰的投资洞察与报告。📊 Analyze market trends with the Dialectic Flow Financial Graph, simulating Bull and Bear debates for clear investment insights and reports.
一款全栈应用，通过 Chrome 扩展自动捕获求职申请，在统一面板中跟踪记录，并提供洞察以优化求职流程。A full-stack application that automatically captures job applications through a Chrome extension, tracks them in a centralized dashboard, and provides insights to improve your job search.
Agentic AI 平台，用于仓库分析、迁移规划、上下文驱动的代码转换及迁移后验证。Agentic AI platform for repository analysis, migration planning, context-grounded code transformation, and post-migration validation.