Generative Agents AI technology page Top Builders

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

Generative Agents

Generative Agents are computer programs designed to replicate human actions and responses within interactive software. To create believable individual and group behavior, they utilize memory, reflection, and planning in combination. These agents have the ability to recall past experiences, make inferences about themselves and others, and devise strategies based on their surroundings. They have a wide range of applications, including creating immersive environments, rehearsing interpersonal communication, and prototyping. In a simulated world resembling The Sims, automated agents can interact, build relationships, and collaborate on group tasks while users watch and intervene as necessary.

General
Relese date	April 7, 2023
Type	Autonomous Agent Simulation

Start building with Generative Agents

We have collected the best Generative Agents libraries and resources to help you get started to build with Generative Agents today. To see what others are building with Generative Agents, check out the community built Generative Agents Use Cases and Applications.

Generative Agents Tutorials

Building an Intelligent AI Agent for Content Moderation with Structured Output

👉 Discover more Generative Agents Tutorials on lablab.ai

Generative Agents resources

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Generative Agents AI technology page Hackathon projects

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

Interrupto - Interactive Story Telling AI

Our project is an AI-powered interactive storytelling web app that brings stories to life through real-time conversation. Unlike traditional audiobooks or static narratives, this platform allows users to engage directly with an AI narrator. As the story unfolds, users can interrupt at any time to ask questions about characters, plot, or setting—or even influence the direction of the story itself. The AI dynamically responds, adapting the narrative based on user input. This creates a highly personalized and immersive experience, perfect for education, entertainment, and creative exploration. It's storytelling reimagined, where the audience becomes part of the story.

Auto DevOps Agent Config CICD setup in seconds

Auto-DevOps Agent is an AI-powered automation system designed to simplify and accelerate the setup of CI/CD pipelines for developers. Built for hackathons and real-world projects alike, it leverages a multi-agent architecture where each agent performs a specific DevOps task—detecting the tech stack, generating test/build/deploy steps, and combining them into a valid GitHub Actions YAML workflow. It also provides easy-to-understand explanations for each CI/CD step, enabling developers to learn while automating. The system supports various project types such as Python, Node.js, and Java, and is designed to eliminate the manual, error-prone work often required when configuring CI/CD tools. The agents communicate using structured prompts and are powered by LLMs via the Groq-hosted OpenAI SDK using the LLaMA 3.1-8B model. The full stack includes: Frontend: React.js (for user interaction and input handling) Backend: FastAPI (serving the AI agents and managing request logic) Agents: AI multi-agent system using prompt engineering and OpenAI SDK CI/CD Output: GitHub Actions YAML configuration Optional Extensions: Docker, GitHub Secrets, and platform deployment integrations The current version generates test, build, and deploy pipeline steps. Future enhancements will include direct deployment to platforms like Railway, Streamlit, Vercel, and Render, along with automated GitHub secret management and full repository initialization. This makes Auto-DevOps Agent an ideal solution for developers, students, and teams aiming to streamline DevOps without needing deep YAML or DevOps knowledge.

Daedalus AI

Daedalus AI: My Vision for Autonomous Software Development My project, Daedalus AI, represents a paradigm shift in workflow automation. Unlike platforms like n8n that orchestrate APIs, my system is a true generative development environment built within the Trae AI IDE. It's an agentic workflow that takes a single prompt and autonomously generates a complete, documented, and deployable full-stack application. The architecture I designed, after a challenging journey, uses a powerful "Compiler and Executor" model. An @Architect agent transpiles my idea into a single project_rules.md file, which contains a complete, phased build plan. A self-orchestrating @Code_Generator agent then executes this plan from start to finish, intelligently adopting the persona of a specialist for each phase—from a Database Virtuoso to a Technical Writer that documents its own work. This journey, however, carries the grief of an unrealized vision. My original goal was a true digital software team of discrete, parallel agents for frontend, backend, and database. I spent immense time trying to make them invoke each other, but they would only "narrate" their actions instead of executing them. This fundamental limitation in agent integration forced me to pivot to the current, more pragmatic self-orchestrating model. Despite these hurdles, I am incredibly eager to continue working with the Trae AI IDE to enable true real-time agentic workflows. I have a wealth of ideas to implement, starting with revisiting my original vision by using terminal calls as a robust external orchestrator to finally achieve parallel agent execution. My future plans also include creating specialized "Helper Agents" to configure complex frameworks and an "Editing Agent" for self-healing code, making the build process even more resilient and powerful.

Monk AI

Monk AI is a unified, intelligent developer platform that transforms the entire software development lifecycle into a seamless, single-screen experience. Designed for both solo developers and distributed teams, Monk integrates AI agents into every stage—from idea generation and coding to testing, deployment, and monitoring. The platform features an AI-powered ideation hub, a Monaco-based code editor with live autocompletion, intelligent test generation and healing, one-click deployment to cloud services, domain and SSL automation, Git versioning, observability, and real-time team collaboration. Every tab is powered by domain-specific AI agents that reduce friction and context switching. With Monk, users can start with a prompt like “Build a task manager,” and the platform will generate specs, code structure, tests, and even deploy it live—within minutes. Think of it as an AI team-in-a-box: CodeMate, GitMate, DeployMate, and more. Our hackathon MVP will demonstrate how Monk AI can generate working applications from a prompt, write tests, deploy to cloud, and monitor logs—all with minimal human input. It’s not just DevOps; it’s DevEverything.

CureWise AI Driven Revolution in Healthcare

CureWise represents a paradigm shift in healthcare accessibility through specialized AI that targets five critical disease areas: ophthalmology, lymphoma, pneumonia, breast cancer, and kidney disease. Unlike general medical AI, our system features specialized disease-specific assistants accessed through dedicated API endpoints, coupled with advanced image analysis that can detect potential conditions from uploaded medical scans. When concerning patterns are identified, CureWise seamlessly connects patients with nearby specialists and provides plain-language interpretations of medical reports. This integrated approach dramatically reduces critical healthcare timelines—cutting diagnosis time from 66 to 9 days (86% reduction) and specialist access from 24 to 4 days (83% reduction). By connecting patients directly with appropriate specialists and translating complex medical information into actionable insights, CureWise addresses the devastating consequences of diagnostic delays, which contribute to 350,000+ premature deaths annually. Our platform generates revenue through a diversified model: healthcare provider partnerships (40%), insurance integration (25%), enterprise solutions (20%), and consumer freemium services (15%). This sustainable approach enables us to bridge critical care gaps while creating economic value. The future roadmap includes integration with wearable devices like Apple Watch for continuous health monitoring, enabling detection of subtle health changes 4-6 weeks earlier than traditional methods and creating a truly connected health ecosystem. CureWise isn't just a technology platform—it's a healthcare revolution that transforms how patients access specialized medical expertise, understand their conditions, and connect with life-saving care.

DevEnv Genie The AI CLI Tool for Dev Env Diagnosis

🧞‍♂️ DevEnv Genie is an AI-powered command-line tool that intelligently diagnoses and fixes development environment issues—designed for real-world developers. Built entirely on Trae IDE, it leverages Trae's powerful debugging agents and integrated access to Gemini 2.5 Pro to shape AI prompts and logic. At its core, DevEnv Genie uses LLMs via Groq and Novita.ai to analyze project files like requirements.txt, package.json, .nvmrc, or even a simple text description. It then scans the developer’s local system, detects mismatched versions or missing tools, and instantly suggests OS-specific CLI fixes—tailored for Windows, macOS, or Linux. 💡 Whether you’re struggling with Python versions, Node mismatches, or system config chaos, DevEnv Genie reduces guesswork and error-prone setups with intelligent, AI-driven insights—all via a simple genie diagnose command. 🚀 Why it stands out: Fully CLI-based & lightweight Trained for real dev scenarios Developed with Trae IDE’s free AI debugging tools Uses dual LLMs (Groq + Novita.ai) for smarter diagnostics Developer-first: saves time, reduces frustration, speeds up onboarding 🎯 Built during the CodeCraft AI x Dev Hackathon, DevEnv Genie is a practical innovation showing how AI and IDEs like Trae can redefine developer workflows.

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