MetaGPT AI technology page Top Builders

Explore the top contributors showcasing the highest number of MetaGPT AI technology page app submissions within our community.

MetaGPT: Collaborative AI for Complex Tasks

MetaGPT is a groundbreaking AI technology, designed to transform the landscape of software development. This innovative AI model can be thought of as a collaborative software entity, bringing together different roles within a software company to streamline complex tasks.

General
Relese date	August, 2023
Repository	https://github.com/geekan/MetaGPT
Type	Collaborative AI Agent

Start Building with MetaGPT

If you're ready to harness the power of MetaGPT for your software development projects, dive right in and start building!

MetaGPT Tutorials

👉 Discover more MetaGPT Tutorials on lablab.ai

MetaGPT Libraries

MetaGPT Documentation

Learn More About MetaGPT

Installation Guide: Get MetaGPT up and running quickly with step-by-step instructions.

Installation Guide: Get MetaGPT up and running quickly with step-by-step instructions.
MetaGPT's Abilities: Explore the full range of capabilities MetaGPT offers.
MetaGPT Quickstart: Dive into a quickstart guide to kickstart your projects with MetaGPT.
Product Demo: See MetaGPT in action with a product demo.
MetaGPT Discord Community: Join the MetaGPT community on Discord to connect with other users and developers.
MetaGPT Research Paper: Read the research paper to understand the technical details behind MetaGPT's capabilities.

MetaGPT is the future of software development, bringing unprecedented efficiency and innovation to your projects.

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MetaGPT AI technology page Hackathon projects

Discover innovative solutions crafted with MetaGPT AI technology page, developed by our community members during our engaging hackathons.

AI-Driven Zabbix for School Networks

Our project integrates AI with Zabbix to develop an intelligent network monitoring and diagnostic system tailored for educational institutions. Schools rely heavily on stable internet connectivity for digital learning, online assessments, and cloud-based applications. However, network issues such as downtime, high latency, or bandwidth constraints can disrupt these activities. To address this, we enhance Zabbix with AI-powered analysis using Orca Mini and GPT-4. Our system detects, analyzes, and diagnoses network problems in real time, providing automated insights and recommendations to IT administrators. The AI assistant runs on Windows, communicating with a Zabbix server on Ubuntu via SSH, ensuring seamless interaction between AI and network monitoring tools. When an issue arises, Zabbix detects the alert, and the AI assistant processes logs, configurations, and network metrics to determine potential root causes. It then generates detailed recommendations for resolution, helping IT teams act faster and prevent prolonged downtime. The system also supports predictive analytics, identifying trends that may lead to future network failures and suggesting proactive solutions. This AI-enhanced network management drastically reduces IT workload, optimizes resource allocation, and ensures continuous, high-quality connectivity for students, teachers, and administrators. By making network troubleshooting faster and smarter, our project empowers schools with self-healing, AI-driven infrastructure that supports modern education and digital transformation. 🚀

SupplyGenius Pro

Core Features 1. Document Processing & Analysis - Automated analysis of supply chain documents - Extraction of key information (parties, dates, terms) - Compliance status verification - Confidence scoring for extracted data 2. Demand Forecasting & Planning - AI-powered demand prediction - Time series analysis with confidence intervals - Seasonal pattern recognition - Multi-model ensemble forecasting (LSTM, Random Forest) 3.Inventory Optimization - Real-time inventory level monitoring - Dynamic reorder point calculation - Holding cost optimization - Stockout risk prevention 4. Risk Management - Supply chain disruption simulation - Real-time risk monitoring - Automated mitigation strategy generation - Risk score calculation 5. Supplier Management - Supplier performance tracking - Lead time optimization - Pricing analysis - Automated purchase order generation 6. Financial Analytics - ROI calculation - Cost optimization analysis - Financial impact assessment - Budget forecasting 7. Real-time Monitoring - Live metrics dashboard - WebSocket-based alerts - Performance monitoring - System health tracking 8. Security Features - JWT-based authentication - Role-based access control - Rate limiting - Secure API endpoints -- Technical Capabilities 1. AI Integration - IBM Granite 13B model integration - RAG (Retrieval Augmented Generation) - Custom AI toolchains - Machine learning pipelines 2. Data Processing - Real-time data processing - Time series analysis - Statistical modeling - Data visualization 3. Performance Optimization - Redis caching - Async operations - Rate limiting - Load balancing 4. Monitoring & Logging - Prometheus metrics - Detailed logging - Performance tracking - Error handling

TriRED LM

Core Architecture The system is built on three primary layers: Distributed Intelligence Layer Implements triple redundancy using three independent LLM nodes Each node runs a quantized, space-optimized language model Independent RAG (Retrieval Augmented Generation) modules per node Isolated memory and processing resources Individual vector databases for context retrieval Knowledge Management Layer Consensus Layer Advanced NLP-based response similarity analysis Majority voting with semantic understanding Automatic anomaly detection and filtering Graceful degradation under node failures Key Innovations Semantic Consensus Protocol Novel approach to comparing LLM outputs Handles natural language variance Maintains reliability under partial failures Lightweight but capable inference engine Distributed RAG Implementation Synchronized vector databases Consistent knowledge access Redundant information retrieval Failure Recovery Automatic node health monitoring Self-healing capabilities Graceful performance degradation Zero-downtime recovery Implementation Details Docker-based containerization for isolation gRPC for high-performance inter-node communication FAISS for efficient vector similarity search Sentence-BERT for response embedding Custom consensus protocols for LLM output validation The system is specifically designed to operate in space environments where traditional AI systems would fail due to radiation effects, resource constraints, or hardware failures. It provides mission-critical reliability while maintaining the advanced capabilities of modern LLMs.

ReproPlan

ReproPlan is an innovative, AI-powered reproductive health app designed to provide comprehensive, accessible, and personalized SRHR education and services. In Ghana and other regions where access to sexual and reproductive health information and services is limited, ReproPlan is designed to address these gaps through an easy-to-use, digital platform. The platform offers comprehensive SRHR information, contraceptive education, personalized support through chatbots, and locator services to connect users to nearby healthcare facilities. Additionally, ReproPlan facilitates last-mile delivery of contraceptives, ensuring that individuals who may not be able to access them through traditional channels can receive them directly. With the power of AI, ReproPlan tailors the experience to each user’s needs, promoting empowerment and informed decision-making regarding reproductive health. Our target audience includes adolescents and young women, particularly those living in underserved areas with limited access to SRHR education and services.

Kaizen-ERP

Kaizen ERP is a solution designed to help small and medium-sized enterprises (SMEs) in Latin America overcome growth barriers. Many SMEs face high costs for data analysis and lack efficient systems to optimize their operations. Kaizen ERP offers an affordable alternative to simplify and enhance the management of key business processes. We use models like Llama 3.2 to reduce operational costs and personalize the customer experience, specifically training the system for the Latin American B2B context. Additionally, Kaizen ERP integrates cloud technologies and intelligent AI agents that automate complex tasks, enabling more precise and efficient data analysis. Our system features an intelligent chatbot that not only improves customer service but also supports the company's marketing strategy, attracting clients and closing sales. Automation covers everything from inventory and finance management to report generation, providing a comprehensive and accessible experience. Kaizen ERP facilitates decision-making through clear and accessible analytics, optimizes productivity by eliminating repetitive tasks, and helps businesses focus on growth without complications. By democratizing access to advanced technology, Kaizen ERP allows SMEs to compete on an equal footing, improving operational efficiency and reaching new levels of growth and competitiveness.

Space tour Plan

Space Tour Plan is a comprehensive web-based conversational assistant designed to revolutionize the space tourism industry. Utilizing IBM watsonx Assistant, the platform provides users with detailed information on available space tours, assists in booking and managing reservations, and offers personalized training and pre-flight checklists. The assistant guides users through the entire process, from selecting the perfect tour package to preparing for their journey, ensuring an engaging and stress-free experience. Additionally, Space Tour Plan integrates secure payment gateways and CRM systems to manage user data efficiently. By automating these tasks, the application enhances user satisfaction, streamlines operations for space tourism companies, and paves the way for accessible and organized space travel for enthusiasts worldwide.