AI 项目蓝图库

A local-first, extensible AI coding assistant with persistent memory, MCP tool integration, and model routing for private, cost-effective development.

An automated multi-agent content creation system that researches topics, generates SEO-optimized articles with consistent brand voice, and publishes through approval workflows while maintaining factual accuracy through RAG-based citation.

Multi-agent system for automated legal contract analysis with clause extraction, risk assessment, and compliance checking using RAG-based grounded citations.

Production-ready conversational AI for e-commerce support with order tracking, product recommendations, and returns processing. Features persistent customer memory, grounded RAG for policies, and multi-agent orchestration for complex workflows.

A multi-agent customer service system that handles order tracking, product inquiries, returns, and escalations with persistent user memory and grounded knowledge retrieval.

Production-ready customer support automation combining document-based accurate answers, persistent customer memory, and intelligent human escalation workflows.

A conversational AI analyst that enables non-technical users to query SQL databases using natural language, featuring automatic visualization, row-level security, and persistent memory for context-aware follow-up questions.

An autonomous email assistant that monitors your inbox, understands conversation context through persistent memory, and drafts personalized replies using multi-provider LLM routing for optimal cost-quality balance.

Privacy-first medical document analysis system for processing clinical records, lab reports, and imaging with local LLMs, grounded RAG citations, and HIPAA-compliant audit trails.

A personalized AI tutoring system that remembers student progress across sessions, ingests educational materials for accurate subject tutoring, and uses multi-agent orchestration for structured lesson planning and assessment.

End-to-end intelligent data pipeline system that extracts, processes, and transforms unstructured data from web sources and documents into structured, embedding-ready formats for RAG and analytics workflows.

A multi-agent system for automated equity research, financial document analysis, and real-time market intelligence with persistent memory and audit trails.

Autonomous SOC platform leveraging multi-agent AI, persistent memory, and real-time intelligence for end-to-end incident lifecycle management from detection to remediation

End-to-end pipeline for collecting, embedding, and analyzing customer reviews at scale using LLMs. Extracts sentiment, themes, and actionable insights from unstructured feedback across web sources and documents.

Automated multi-agent system for scraping, analyzing, and extracting actionable insights from customer reviews across the web, with semantic search capabilities and persistent trend memory.

A scalable translation platform supporting 100+ languages with document ingestion, quality evaluation, and multi-model routing for enterprise-grade localization workflows.

Build an AI-powered Kubernetes operations assistant that monitors clusters, diagnoses issues, and executes remediation workflows automatically.

A comprehensive document intelligence system that ingests complex documents (PDFs, Word, Excel), extracts structured knowledge with layout preservation, and enables conversational AI with grounded citations and traceable references.

Self-hosted AI infrastructure for running LLMs locally with web UI, document processing, and RAG capabilities. Zero API costs, full data privacy.

A self-hosted multilingual conversational AI system with intelligent language routing, persistent memory across sessions, and document-based RAG capabilities supporting 20+ languages.

Build a conversational AI interface that converts natural language questions into executable SQL queries, featuring schema-aware RAG, conversation memory, and safety guardrails.

Build production-ready AI workflows and agents using visual drag-and-drop interfaces without writing code. Combines visual AI orchestration with business automation and enterprise document processing.

A privacy-first, self-hosted knowledge management system that ingests documents, web pages, and notes into a searchable vector database with local LLM-powered chat and RAG capabilities.

A production-ready retrieval-augmented generation chatbot with document parsing, vector search, and conversational interface. Processes PDFs, Word docs, and web content to provide grounded, citation-backed answers.

基于LLM的智能日志分析系统，实现多源日志采集、向量存储、RAG增强分析、异常检测和自动化告警通知

Automated system that ingests code repositories, uses multi-agent AI to analyze structure and semantics, and generates comprehensive technical documentation with version-controlled publishing workflows.

Autonomous multi-agent system for intelligent infrastructure monitoring, anomaly detection, root cause analysis, and automated remediation with persistent memory of incidents and durable workflow execution.

End-to-end system that transcribes meetings with speaker identification, generates AI summaries, extracts actionable items with deadlines, maintains organizational memory across meetings, and distributes tasks to project management tools.

Autonomous multi-agent system that analyzes codebases for security vulnerabilities, validates findings in isolated sandboxes, and generates actionable remediation reports with full traceability.

Multi-agent system for real-time portfolio risk monitoring, stress testing, and automated alerting using AI-powered market intelligence and financial analysis agents.

Autonomous multi-agent system that generates comprehensive API test suites from specs or natural language, executes them in secure sandboxes, and validates responses with type-safe schema enforcement.

A multimodal AI system that analyzes UI/UX designs, wireframes, and mockups to provide structured, citation-backed feedback using established design principles and accessibility guidelines.

Autonomous SOC platform using multi-agent AI teams to detect, investigate, and remediate security incidents with persistent memory, durable execution, and sandboxed forensics.

Privacy-first security operations center using local LLMs to analyze threat intelligence, detect anomalies in logs, and automate incident response with persistent memory of past attacks.

Production-ready AI code review pipeline that automatically analyzes pull requests, enforces coding standards, and provides intelligent feedback while optimizing costs through smart LLM routing.

An AI agent system that automatically triages, analyzes, and resolves GitHub issues through autonomous coding, with persistent memory of codebase patterns and full observability.

Production-grade system for systematically evaluating LLM applications across quality, safety, and performance metrics using multi-provider testing, automated judging, and red teaming.

High-availability LLM proxy architecture with intelligent provider routing, automatic failover, semantic caching, and comprehensive observability for enterprise multi-provider AI infrastructure.

Autonomous multi-agent system that continuously monitors competitors, analyzes market signals from 435+ news feeds and web sources, and generates strategic intelligence reports with persistent memory of competitive landscapes.

End-to-end automated invoice processing pipeline using document AI agents, workflow automation, and intelligent validation to extract, verify, and route invoice data from ingestion to ERP integration.

Enterprise-grade architecture for autonomous legal research featuring document ingestion, precedent analysis, citation-backed brief generation, and compliant audit trails. Designed for law firms and legal departments requiring accurate, traceable research workflows.

Real-time global news aggregation, intelligent document processing, and AI-powered summarization with persistent memory, semantic search, and multi-user access.

Multi-agent system for intelligent patent document analysis, prior art search, claim interpretation, and infringement detection with traceable citations

A multi-agent system that automates property market research, investment analysis, and portfolio tracking by scraping listings, parsing documents, and generating investment reports with persistent memory of user preferences.

Natural language BI platform that aggregates data from multiple sources, analyzes unstructured documents with grounded citations, and delivers autonomous insights through specialized AI agents.

Automated cryptocurrency trading system using specialized AI agents for technical analysis, sentiment monitoring, and fundamental research, orchestrated through durable workflows with risk management and persistent memory.

Production-grade cryptocurrency trading system using specialized AI agents for technical analysis, sentiment monitoring, and autonomous trade execution with risk guardrails and durable workflow orchestration.

Automate end-to-end e-commerce product listing creation: extract data from supplier documents, generate SEO-optimized titles and descriptions using AI, and publish to multiple storefronts while maintaining brand consistency.

Multi-agent quantitative trading platform combining specialized AI agents for fundamental, technical, and sentiment analysis with durable execution workflows and real-time market data processing.

Multi-agent system that analyzes SERP competitors, optimizes content for target keywords, and automates publishing workflows with cost-efficient LLM routing.

An autonomous multi-agent system that intelligently navigates websites, extracts structured data, and maintains context across sessions while avoiding duplicates and anti-bot detection.

Multi-agent system that continuously monitors data pipelines for schema drift, anomalies, and completeness using AI-powered validation workflows and cost-controlled LLM inference.

A multi-agent research system that autonomously conducts deep investigations by orchestrating web research, document analysis, and synthesis agents with persistent memory and citation tracking.

End-to-end pipeline for customizing open-source LLMs with domain-specific data using parameter-efficient fine-tuning, from document ingestion to production deployment.

HIPAA-compliant document processing system that extracts structured medical data (diagnoses, medications, lab values) from unstructured clinical documents using local LLMs and rigorous validation guardrails.

Automated pipeline that ingests complex academic PDFs (including formulas and tables), extracts structured content, and generates section-aware summaries with citations using best-fit LLMs.

Autonomous multi-agent system that generates, schedules, and optimizes social media content across platforms with brand-consistent voice and real-time engagement tracking.

Multi-agent system that autonomously generates structured curriculum, lesson content, and assessments by orchestrating specialized AI agents with persistent memory and document ingestion capabilities.

End-to-end content production pipeline using specialized AI agents for research, writing, editing, and publishing. Reduces blog production time from days to hours while maintaining quality and brand consistency.

End-to-end autonomous blog production pipeline using specialized AI agents for research, writing, editing, and publishing with SEO optimization.

End-to-end blog automation using AI agents for research, writing, editing, and publishing with brand-aware content generation and SEO optimization.

Multi-agent system for autonomous resume parsing, candidate screening, and interview orchestration with bias detection and ATS integration

Autonomous multi-agent system that researches prospects, personalizes outreach sequences, and manages follow-ups across email and LinkedIn with CRM synchronization.

Multi-agent system that automates demand forecasting, inventory optimization, and procurement decisions by orchestrating specialized AI agents with persistent memory and ERP integration.

A production-grade autonomous workflow system that orchestrates multi-agent AI teams to execute complex business tasks across SaaS tools with persistent memory and comprehensive observability.

Build a stateful AI agent that processes voice, image, and text inputs in real-time, with persistent memory and autonomous web browsing capabilities.

Build a scalable multi-agent system with role-based orchestration, persistent memory, and tool integration for autonomous task execution.

A personalized music discovery system that learns user tastes over time, orchestrates specialized agents for recommendation curation, and integrates with streaming platforms to generate contextual playlists based on mood, activity, and listening history.

Semantic product discovery system combining vector search, user memory, and LLM-based personalization to generate contextual recommendations with explanations.

Create a production-ready Model Context Protocol server that exposes custom tools, resources, and prompts to AI clients like Claude Desktop, Cursor, and other MCP-compatible applications.

Build a production-ready voice agent with sub-second latency, persistent memory, and extensible tool use using open-source voice pipelines and MCP protocol.