AgentOps Pricing & Plans 2026

Name: AgentOps
Brand: AgentOps
Availability: InStock

Complete pricing guide for AgentOps. Compare all plans, analyze costs, and find the perfect tier for your needs.

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether AgentOps is worth it →

🆓Free Tier Available

💎3 Paid Plans

⚡No Setup Fees

Choose Your Plan

Free

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Pro

From $40/month

Start Free Trial →

Enterprise

Contact sales

Contact Sales →

Pricing sourced from AgentOps · Last verified March 2026

Feature Comparison

Detailed feature comparison coming soon. Visit AgentOps's website for complete plan details.

View Full Features →

Is AgentOps Worth It?

✅ Why Choose AgentOps

• Two-line integration makes adoption nearly frictionless for existing agent projects
• Framework-agnostic design works with CrewAI, AutoGen, LangChain, OpenAI Agents SDK, and custom setups
• Time travel debugging is a genuinely differentiated capability for diagnosing non-deterministic agent failures
• Fully open source under MIT license with self-hosting option gives teams full control
• Real-time cost tracking across 400+ LLM models enables granular spend optimization
• Multi-agent visualization untangles complex inter-agent communication patterns

⚠️ Consider This

• Purpose-built for agent workflows, so less useful for general LLM application monitoring
• Public pricing details beyond the free tier require contacting sales for Enterprise plans
• Value depends on using supported frameworks or investing in custom SDK instrumentation
• Adds an external dependency and network calls that may impact latency-sensitive applications
• As a relatively young platform the ecosystem and community are still maturing compared to established APM tools

What Users Say About AgentOps

👍 What Users Love

✓Two-line integration makes adoption nearly frictionless for existing agent projects
✓Framework-agnostic design works with CrewAI, AutoGen, LangChain, OpenAI Agents SDK, and custom setups
✓Time travel debugging is a genuinely differentiated capability for diagnosing non-deterministic agent failures
✓Fully open source under MIT license with self-hosting option gives teams full control
✓Real-time cost tracking across 400+ LLM models enables granular spend optimization
✓Multi-agent visualization untangles complex inter-agent communication patterns
✓Generous free tier of 5,000 events per month supports individual developers and prototyping
✓Both Python and TypeScript SDK support covers the primary AI development ecosystems

👎 Common Concerns

⚠Purpose-built for agent workflows, so less useful for general LLM application monitoring
⚠Public pricing details beyond the free tier require contacting sales for Enterprise plans
⚠Value depends on using supported frameworks or investing in custom SDK instrumentation
⚠Adds an external dependency and network calls that may impact latency-sensitive applications
⚠As a relatively young platform the ecosystem and community are still maturing compared to established APM tools

Pricing FAQ

How many lines of code does it take to integrate AgentOps?

Just two lines: import the AgentOps SDK and call the init function with your API key. The SDK automatically instruments supported frameworks.

Does AgentOps work with my agent framework?

AgentOps supports a wide range of frameworks including CrewAI, AutoGen, LangChain, OpenAI Agents SDK, Cohere, Mistral, LiteLLM, and AG2. Custom agents can be instrumented via the Python or TypeScript SDK.

Can I self-host AgentOps?

Yes. The entire AgentOps platform is open source under the MIT license and can be self-hosted for teams that need full data control or air-gapped deployments.

How does AgentOps compare to LangSmith?

AgentOps is framework-agnostic and open source, while LangSmith is tightly integrated with the LangChain ecosystem. AgentOps emphasizes agent-level observability with time travel debugging, whereas LangSmith focuses on LLM chain tracing and evaluation.

What is time travel debugging?

Time travel debugging lets you replay an agent session step by step, examining every LLM call, tool invocation, and decision point in sequence to diagnose exactly where and why a workflow succeeded or failed.

Is AgentOps free to use?

Yes, the free tier includes up to 5,000 events per month with core observability features. The Pro plan starts at $40/month for higher volumes, and Enterprise pricing is available by contacting sales.

Ready to Get Started?

AI builders and operators use AgentOps to streamline their workflow.

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More about AgentOps

Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

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AgentOps Pricing & Plans 2026

Complete pricing guide for AgentOps. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎3 Paid Plans

⚡No Setup Fees

Is AgentOps Worth It?

✅ Why Choose AgentOps

• Two-line integration makes adoption nearly frictionless for existing agent projects
• Framework-agnostic design works with CrewAI, AutoGen, LangChain, OpenAI Agents SDK, and custom setups
• Time travel debugging is a genuinely differentiated capability for diagnosing non-deterministic agent failures
• Fully open source under MIT license with self-hosting option gives teams full control
• Real-time cost tracking across 400+ LLM models enables granular spend optimization
• Multi-agent visualization untangles complex inter-agent communication patterns

⚠️ Consider This

• Purpose-built for agent workflows, so less useful for general LLM application monitoring
• Public pricing details beyond the free tier require contacting sales for Enterprise plans
• Value depends on using supported frameworks or investing in custom SDK instrumentation
• Adds an external dependency and network calls that may impact latency-sensitive applications
• As a relatively young platform the ecosystem and community are still maturing compared to established APM tools

What Users Say About AgentOps

👍 What Users Love

✓Two-line integration makes adoption nearly frictionless for existing agent projects
✓Framework-agnostic design works with CrewAI, AutoGen, LangChain, OpenAI Agents SDK, and custom setups
✓Time travel debugging is a genuinely differentiated capability for diagnosing non-deterministic agent failures
✓Fully open source under MIT license with self-hosting option gives teams full control
✓Real-time cost tracking across 400+ LLM models enables granular spend optimization
✓Multi-agent visualization untangles complex inter-agent communication patterns
✓Generous free tier of 5,000 events per month supports individual developers and prototyping
✓Both Python and TypeScript SDK support covers the primary AI development ecosystems

👎 Common Concerns

⚠Purpose-built for agent workflows, so less useful for general LLM application monitoring
⚠Public pricing details beyond the free tier require contacting sales for Enterprise plans
⚠Value depends on using supported frameworks or investing in custom SDK instrumentation
⚠Adds an external dependency and network calls that may impact latency-sensitive applications
⚠As a relatively young platform the ecosystem and community are still maturing compared to established APM tools

Pricing FAQ

How many lines of code does it take to integrate AgentOps?

Just two lines: import the AgentOps SDK and call the init function with your API key. The SDK automatically instruments supported frameworks.

Does AgentOps work with my agent framework?

Can I self-host AgentOps?

Yes. The entire AgentOps platform is open source under the MIT license and can be self-hosted for teams that need full data control or air-gapped deployments.