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
AuthorAgentOps, Inc.
Release Date2023
Websitehttps://www.agentops.ai/
Documentationhttps://docs.agentops.ai/v1/introduction
Technology TypeMonitoring 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.

πŸ‘‰ Start building with AgentOps

πŸ‘‰ Examples

AgentOps AI technology page Hackathon projects

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

SupplyGenius Pro

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

WorkWiseAI

WorkWiseAI

Why WorkWiseAI? Large modern businesses and fast-growing startups often struggle with operational inefficiencies hidden within their workflows. Traditional process audits can be time-consuming, subjective, and costly. WorkwiseAI automates this process, delivering real-time, AI-driven workflow analysis that enhances decision-making. Use cases of IBM Services have seen success, including Vodafone, which reduced testing timelines to 1 minute and Artefact, which uses a portfolio of personas represented by AI identities, allowing professionals to reveal crucial insights from customer behavior. Built on IBM’s open source granite-3.1-8b-instruct powered by IBM AgentLab, WorkwiseAI provides businesses with deep workflow insights, data-driven efficiency scoring, and AI-generated optimization strategies. At the core of WorkwiseAI is a custom 'S3' Agent Pipeline that orchestrates three AI-powered agents and IBM Vector Index document grounding to streamline workflow analysis: Summarizer Agent: Breaks down complex business processes into distinct, numbered steps, identifying inefficiencies based on structured business context data. Scorer Agent: Critically evaluates each workflow step, assigning efficiency scores using industry-relevant metrics and a custom scoring model. Suggester Agent: Leverages tools to access external knowledge sources such as Wikipedia, DuckDuckGo, and retrieval-augmented generation (RAG) queries to provide actionable improvements for each workflow step. The prototype also enables interactive Workflow Visualization: clean structured insights from large data through intuitive Streamlit dashboard widgets. Multi-Language Chatbot Interface: Allows for seamless interaction with WorkwiseAI across different business environments. By harnessing IBM’s advanced AI ecosystem, WorkwiseAI empowers organizations to transform workflow management, ensuring agility, competitiveness, and sustainable growth.