OpenAI Assistants API AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI Assistants API AI technology app submissions within our community.

OpenAI's Assistants API

OpenAI's Assistants API simplifies AI integration for developers, eliminating the need for managing conversation histories and providing access to tools like Code Interpreter and Retrieval. The API also allows developers to integrate their own tools, making it a versatile platform for AI assistant development.

General
Author	OpenAI
Documentation	Link
Type	AI Assistant

Model Overview

The Assistants API enables developers to create AI assistants using OpenAI models and tools. It supports various functionalities such as managing conversation threads, triggering responses, and integrating customized tools.

Assistants API Tutorials

OpenAI Assistants API Unleashed: Building Streamlit Applications for Next-Gen Financial Insights and PDF Analysis

👉 Discover more Assistants API Tutorials on lablab.ai

Technology Resources

Assistants API Documentation - Comprehensive documentation for integrating and utilizing the Assistants API efficiently.

The Assistants API allows developers to construct AI assistants within their applications. An assistant can leverage models, tools, and knowledge to respond to user queries effectively. Presently supporting Code Interpreter, Retrieval, and Function calling, the API aims to introduce more tools developed by OpenAI while also allowing user-provided tools on the platform.

To explore its capabilities, developers can use the Assistants Playground or follow the integration guide in the official documentation. The integration process involves defining an Assistant, enabling tools, managing conversation threads, and triggering responses.

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OpenAI Assistants API AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI Assistants API AI technology, developed by our community members during our engaging hackathons.

neuronet

neuronet is the dawn of a new era—where every person has a lifelong digital companion that thinks, acts, and grows with them. Imagine a world where your AI agent is not just a tool, but a true cognitive twin: learning your values, protecting your interests, and negotiating on your behalf. This is more than automation; it’s the next leap in human evolution, on par with the invention of the wheel, the rise of the internet, or the birth of social networks like Facebook and Instagram. Our MVP, neuronode alpha, brings this vision to life today. It learns what matters to you, manages your calendar, negotiates meetings, and filters emails—adapting and improving with every interaction. Unlike static assistants, neuronet agents evolve, storing your feedback and decisions to become ever more attuned to your needs. But this is just the beginning. neuronet’s future is a world where your agent manages your health, career, finances, and even represents you in digital governance. Networks of these agents will collaborate, creating a new kind of global collective intelligence—private, sovereign, and deeply personal. neuronet isn’t just another app. It’s the foundation for the next wave of human empowerment—a revolution as profound as the smartphone or the automobile. This is the technology of tomorrow, built today. neuronet: your mind, amplified.

Multi-Agent Developer Tools

Multi-Agent AI VS Code Extension Multi-Agent AI is a comprehensive AI-powered development assistant that enhances your coding workflow by combining the capabilities of three specialized agents — all seamlessly integrated within Visual Studio Code. 🚀 Core Agents 🧠 Coding Agent Delivers intelligent code completions, code quality analysis, performance optimization suggestions, and automated unit test generation. Supports: TypeScript, JavaScript, Python, Java, C++, C#, Go, Rust 🔐 Security Agent Performs thorough security scans, including static analysis, dependency scanning, secret detection, and compliance validation against industry standards like OWASP and PCI DSS. 📄 Documentation Agent Generates various documentation types including: API docs Architectural overviews Troubleshooting guides Inline code explanations Output formats: Markdown, JSON, Plain Text 🔑 Key Features ⚡ Real-time Assistance Inline code completion with contextual awareness and smart caching. 🛡️ Multi-layered Analysis Identifies vulnerabilities, detects code quality issues, and provides actionable remediation suggestions. 📚 Intelligent Documentation Automatically generates comprehensive, context-aware documentation for your codebase. 🧭 Unified Interface Tabbed side panel for easy switching between agents. 📤 Export Capabilities Save outputs in .txt, .md, and .json formats. 📊 Visual Feedback Includes color-coded status indicators, progress bars, and live updates from agents. ⚙️ Technical Integration Powered by Groq and BlackBox AI APIs Built-in error handling and retry logic Streaming response support for real-time agent interaction Configurable security rules and compliance standards Multi-provider AI backend support for enhanced stability 🧩 Setup Requirements Configure your Groq and BlackBox API keys in VS Code settings Compatible with major programming languages Fully integrated with VS Code's native UI and theme support

HelpMe - BlackBox API

HelpMe – Ask Get Learn is an AI-powered study assistant designed to provide instant, accurate answers to academic questions. Built using the Blackbox API, it simplifies complex topics into clear, understandable responses within seconds. The tool is especially aimed at helping students in developing and underdeveloped countries who may lack access to quality educational resources or private tutoring. By offering a free, lightweight, and easy-to-use platform, HelpMe empowers low-privileged learners to study smarter and faster — like passing knowledge from the right hand to the left. Instead of building a complex AI model, this project smartly leverages Blackbox’s powerful API to create real impact. HelpMe opens a door to equal educational opportunity, making AI-assisted learning accessible to those who need it the most.

Code Genie

Code Genie is an AI-powered Streamlit application designed to assist developers, students, and teams in analyzing, reviewing, refactoring, and documenting source code across multiple programming languages. The platform integrates advanced AI capabilities to offer a smarter and more personalized coding assistant experience. At its core, Code Genie leverages the Groq API with the LLaMA model to power a range of intelligent features, including: Code Explanation: Understand complex logic with natural language breakdowns tailored to user skill level. Semantic Search: Find relevant functions, files, or logic based on the meaning of user queries—not just keywords. Workflow Reporting: Automatically generate summaries and insights about code structure and quality. Error Detection: Identify potential bugs, anti-patterns, or inefficient implementations. Unit Test Generation: Create boilerplate or advanced test cases automatically based on existing functions. To complement these features, Blackbox AI API is used for: Code Refactoring: Clean up, optimize, and restructure code based on AI-powered analysis. Additionally, the Blackbox AI agent was used via its official Visual Studio Code extension—not as a built-in integration—to automatically generate inline code comments. This feature supported the documentation module by providing accurate and context-aware comments based on code structure. Every page in Code Genie requires users to select: Programming Language Skill Level (Beginner, Intermediate, Expert) Developer Role (e.g., Backend, Frontend, QA, Student) Preferred Explanation Language (e.g., English, Urdu) These inputs allow Code Genie to personalize all outputs—ensuring that code insights, suggestions, and explanations are context-aware and user-friendly. By combining Groq’s high-speed LLaMA models with Blackbox AI tools, Code Genie provides a robust, AI-powered environment for improving code quality, understanding, and productivity.

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.