Does LangSmith or AgentOps have a free plan?

LangSmith is available for free. AgentOps is available for free. Always verify current pricing directly with the vendor.

LangSmith vs AgentOps

Q: Can I use LangSmith and AgentOps together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine LangSmith and AgentOps with other tools and save your AI toolkit.

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

LangSmith

LangChain

The platform for agent engineering

0.0(0)

FREEMIUM

87% data quality

AgentOps

Trace, debug, and deploy reliable AI agents and LLM apps.

0.0(0)

FREEMIUM

92% data quality

Trust & Reliability

LangSmith

Uptime:Enterprise plans include SLA-backed uptime guarantees.Status page

Users:10K-100K

AgentOps

Customers (per vendor):Amadeus, Asseco Poland, Microsoft +7

SOC 2

Overall Winner: AgentOps

7.7/10 vs LangSmith at 6.0/10

Leads in:

Output Quality

Customizability

Support

AI Comparison Summary

LangSmith

6.0

avg score

AgentOps

7.7

avg score

AgentOps leads overall — particularly in Customizability and Support & Ecosystem and 1 more.

Based on 6 dimensions

How scores are calculated

Overall Winner

AgentOps

7.7 / 10

LangSmith

Best For

Developing AI agents efficiently

Monitoring AI agent performance

Evaluating AI agent reliability

Deploying AI agents at scale

Not Ideal For

General content generation tasks not related to agents

Simple AI model inference without agentic behavior

Users seeking a standalone LLM interface

AgentOps

Best For

Debugging and auditing AI agent behavior for developers

Monitoring LLM application performance and costs for engineers

Building and scaling enterprise-grade agents for teams

Optimizing LLM fine-tuning processes for AI practitioners

Not Ideal For

Non-technical users looking for a no-code agent builder

Users who need an agent to perform tasks directly, rather than monitor other agents

Individuals or small teams with very low event usage who don't need advanced observability

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

LangSmith is best for

🎨Image & Design3.0

AgentOps is best for

🤖Automation & Agents6.0

Pros & Cons

LangSmith

Pros

Enables no-code AI agent development
Provides tools for comprehensive agent observation
Offers robust agent evaluation capabilities
Supports deployment of AI agents
Allows choice of data region for compliance

Cons

Limited information on specific pricing tiers and features
Lack of explicit details on integrations beyond authentication
No clear mention of advanced team collaboration features
Website content is minimal, lacking in-depth feature descriptions
No explicit free trial for paid features mentioned

AgentOps

Pros

Native integrations with 400+ LLMs and major agent frameworks like CrewAI and AutoGen
Comprehensive observability features including session replay and waterfall view
Detailed cost tracking and token monitoring for efficient resource management
Supports self-hosting on major cloud providers (AWS, GCP, Azure)
Offers enterprise-grade compliance (SOC-2, HIPAA, NIST AI RMF) for secure deployments
Provides dedicated Slack and email support for Pro and Enterprise users

Cons

Requires coding knowledge for integration and advanced usage
Free tier has a limit of 5,000 events, which may be quickly consumed by active development
Full enterprise features like custom SSO and SLA are only available on custom plans
Primarily focused on observability and debugging, not agent creation itself
No explicit mention of a visual agent builder for non-developers

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

LangSmith

6.0

/ 10

AgentOps

7.7

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

LangSmith

7.0

AgentOps

7.0

Output Quality

Quality and accuracy of generated results

LangSmith

7.0

AgentOps

8.0▲ +1.0

Value for Money

Cost vs. features and output quality

LangSmith

6.0

AgentOps

7.0▲ +1.0

Customizability

Calculated

Ability to tailor to specific needs

LangSmith

5.0

AgentOps

8.0▲ +3.0

Support & Ecosystem

Documentation, community, and support quality

LangSmith

5.0

AgentOps

8.0▲ +3.0

Integration Power

Calculated

Ability to connect with other tools and workflows

LangSmith

6.0

AgentOps

8.0▲ +2.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, LangSmith or AgentOps?

Both are strong options. LangSmith has a rating of 0.0/5 (0 reviews), while AgentOps has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is LangSmith cheaper than AgentOps?

LangSmith starts at free (freemium model). AgentOps starts at free (freemium model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between LangSmith and AgentOps?

LangSmith — "The platform for agent engineering". AgentOps — "Trace, debug, and deploy reliable AI agents and LLM apps.". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use LangSmith and AgentOps together?

Explore Alternatives

LangSmith Alternatives

Tools similar to LangSmith

AgentOps Alternatives

Tools similar to AgentOps

Compare More AI Tools

Use our comparison tool to compare up to 5 AI tools side-by-side with AI-powered recommendations.