AgentOps AgentOps

Providing the most comprehensive toolkit for building, optimizing, and deploying LLM-powered applications.

AI Agent Builders Freemium Open Source 424 views

Agent Description

AgentOps is the leading development platform for building, testing, and deploying AI agents and LLM-powered applications. It supports OpenAI Agents SDK, CrewAI, Autogen, and 400+ LLMs, providing a unified environment for AI agent development.

Key Features

  • Multi-Framework Support – Works with OpenAI Agents, CrewAI, Autogen, LangChain, and more
  • 400+ LLM Integrations – Access GPT-4, Claude, Gemini, Mistral, and other models in one place
  • Agent Debugging & Monitoring – Real-time logs, performance metrics, and error tracking
  • Collaborative Workspace – Team-based development with version control
  • One-Click Deployment – Deploy agents as APIs, chatbots, or workflows instantly
  • Cost Optimization – Compare LLM performance and pricing to reduce expenses

Use Cases

  • AI Agent Development – Build autonomous agents for customer support, sales, or research
  • LLM App Creation – Develop chatbots, content generators, or data analyzers faster
  • Enterprise Automation – Deploy scalable AI workflows across departments
  • AI Prototyping – Rapidly test and iterate agent designs before full-scale deployment

Differentiation Factors

  • Broadest Framework Support – Unifies all major AI agent frameworks in one platform
  • Production-Ready Tools – Built for deploying agents at scale, not just prototyping
  • Enterprise-Grade Security – SOC 2 compliance and private cloud options

Pricing Plans

  • Basic- $0/ month
  • Pro-$40/month
  • Enterprise- Custom

Frequently Asked Questions

Q: Does AgentOps replace OpenAI/CrewAI/Autogen?
A: No—it enhances them with debugging, monitoring, and deployment tools.

Q: Can I use my own LLM API keys?
A: Yes, supports BYO keys while providing cost analytics.

Q: Is there a limit on agent complexity?
A: No—handles simple chatbots to multi-agent autonomous systems.

Q: How does it compare to LangSmith?
A: More framework-agnostic with broader LLM/agent ecosystem support.

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