thedaviddias/Front-End-Checklist
Front-End Checklist is an open-source quality system for modern web development, offering comprehensive best practices for humans and AI agents.
Awesome AI Agents › MCP Server Framework
AgentOps-AI/agentops
AgentOps is a Python SDK designed to provide comprehensive monitoring, cost tracking, benchmarking, and observability tools for AI agents and large language models (LLMs). It supports integration with a wide range of popular LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI, making it a versatile tool for developers working with AI agents. The platform offers features such as replay analytics and debugging, which allow developers to visualize step-by-step execution graphs of their agents, helping to identify issues and optimize performance. It also includes LLM cost management capabilities to track spending across different foundation model providers, enabling better budget control and cost efficiency. AgentOps supports agent benchmarking with over 1,000 evaluation tests, allowing developers to assess and compare the performance of their AI agents effectively. Security and compliance are also key focuses, with tools to detect common prompt injection attacks and data exfiltration exploits, ensuring safer deployment of AI agents. The SDK emphasizes a first-class developer experience by enabling powerful observability with minimal code changes, using decorators to create session, agent, operation, task, and workflow spans that automatically record inputs, outputs, exceptions, and support asynchronous and generator functions. The project provides a user-friendly dashboard for viewing session analytics and debugging information, accessible via the AgentOps web app. It is open-source under the MIT license and actively maintained, with integrations expanding to include Microsoft and Cohere among others. Overall, AgentOps is a robust observability and developer tool platform that helps AI developers build, evaluate, monitor, and secure their AI agents from prototype to production.
https://github.com/AgentOps-AI/agentops
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