The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
- Updated
Dec 2, 2025 - Python
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Evaluation and Tracking for LLM Experiments and AI Agents
AI agent to automatically check grammar and spelling on documentation files
Geniusrise: Framework for building geniuses
Learn AI, ML, and NLP with interactive Jupyter Notebook tutorials.
CrewNews is an AI news generator that delivers an unbiased version of the news for a given topic, using Streamlit for the GUI, Llama 3.1 as the LLM (inferenced via the AIML API), CrewAI for building AI agents, AgentOps for testing AI agents, and Exa & Firecrawl as tools
A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications
This smart assistant uses advanced Multi-Agent AI systems, leveraging over 10+ agents working asynchronously to perform 20+ tasks. From disease research to personalized diet and exercise plans, as well as doctor consultations and patient journeys, it brings all essential healthcare services into a single platform.
This is a smart procurement agents that can help you to find the best product for your company. and generate a report for you.
Bolts that read data and perform chains of actions with prompts
Bolts interfacing with the huggingface ecosystem
Operational patterns for AI agents and infrastructure from solo to enterprise scale. Applies DevOps + SRE principles to the intersection: infrastructure FOR AI + AI FOR infrastructure. Alpha framework extracting meta-patterns from mission critical environments.
Add a description, image, and links to the agentops topic page so that developers can more easily learn about it.
To associate your repository with the agentops topic, visit your repo's landing page and select "manage topics."