AgentOps AI technology page Top Builders

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

AgentOps

AgentOps is a comprehensive platform designed for monitoring, debugging, and optimizing AI agents in both development and production environments. It provides advanced tools such as session replays, metrics dashboards, and custom reporting, enabling developers to track the performance, cost, and interactions of their AI agents in real-time.

Some of the out-of-the-box integrations include:

CrewAI,
Autogen,
Langchain,
Cohere,
LiteLLM,
MultiOn.

This wide compatibility ensures seamless integration with a diverse range of AI systems and development environments.

General
Author	AgentOps, Inc.
Release Date	2023
Website	https://www.agentops.ai/
Documentation	https://docs.agentops.ai/v1/introduction
Technology Type	Monitoring Tool

Key Features

LLM Cost Management: Track and manage the costs associated with large language models (LLMs).
Session Replays: Replay agent sessions to analyze interactions and identify issues.
Custom Reporting: Generate tailored reports to meet specific analytical needs.
Recursive Thought Detection: Monitor recursive thinking patterns in agents to ensure optimal performance.
Time Travel Debugging: Debug and audit agent behaviors at any point in their operational timeline.
Compliance and Security: Built-in features to ensure that agents operate within security and compliance standards.

Start Building with AgentOps

AgentOps offers developers powerful tools to enhance the monitoring and management of AI agents. With easy integration through SDKs, it provides real-time insights into the performance and behavior of agents. Developers are encouraged to explore community-built use cases and applications to unlock the full potential of AgentOps.

👉 Start building with AgentOps

👉 Examples

Edit on Github

AgentOps AI technology page Hackathon projects

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

AstraVerse

AstraVerse is a purpose-driven AI orchestration platform designed to empower people from all backgrounds to create, manage, and deploy intelligent agents easily. We believe building AI agents shouldn't require deep coding or ML knowledge. AstraVerse integrates Groq’s ultra-fast inference and LLaMA’s lightweight LLMs to help automate workflows, support systems, and enterprise tasks in seconds. Our mission is to break the barrier between non-technical users and powerful AI capabilities. Whether you're automating customer support, analyzing business data, or building a personalized agent, AstraVerse makes it accessible. We’re not just a product - we’re enabling a movement where people build agents, not just techies.

Yay Travel

9 out of 10 group trips die in the group chat. Why? Missed messages, slow replies, messy coordination, and too many tabs. Most group trips collapse under their own organizational weight. yay.travel turns that chaos into action. It’s your AI-powered agent that takes everyone’s preferences, makes decisions, and gets the trip booked. ✨ How it works - Voice-first UI – Users talk to yay to share their preferences — where, when, how much — right from our web app. - Personalized planning – yay learns your group’s vibe and tailors suggestions across flights, stays, and things to do. - Automated coordination – Need confirmation from that one friend? yay pings them via WhatsApp, calls them, or navigates menus for them. - End-to-end booking – Once aligned, yay locks it all in — from flights to hotels and dinner reservations. - Live updates – Everyone stays in the loop with real-time nudges and updates.

Oasis OS - Intelligent Workflow Automation

Oasis OS: Your customisable OS Oasis OS is a revolutionary autonomous computing framework that transforms how humans interact with their digital environments. Our system learns from your actions and creates an intelligent intermediary layer that understands natural language commands and executes complex multi-step tasks across any operating system. Core Innovation At its heart, Oasis OS employs a three-tier cognitive architecture: a strategic planner that decomposes complex goals into optimized task graphs, a tactical executor that handles granular actions with real-time adaptation, and a universal interface layer that translates intentions into precise UI interactions across macOS, Linux, and Windows. Technical Breakthroughs Our system combines multimodal understanding (processing both screenshots and accessibility trees), advanced memory systems that learn from experience, and intelligent failure recovery mechanisms. It seamlessly orchestrates workflows across multiple applications while maintaining context and adapting to unexpected situations. Oasis OS represents the future of computing, where digital literacy barriers disappear and human creativity is amplified by truly intelligent automation.

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.

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.

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