AgentOps
Best for AI developers
Comprehensive observability
Multi-agent support
Open source SDK
Enterprise-ready
Trace, debug, and deploy reliable AI agents and LLM apps.
Assistant
Debugging
FREEMIUM
ADVANCED Complexity
HYBRID
Last updated: Apr 15, 2026
agentops.ai
Quick Answer
AgentOps is a developer platform for tracing, debugging, and deploying reliable AI agents and LLM applications. It provides visual tracking of LLM calls, tools, and multi-agent interactions, along with cost monitoring and fine-tuning capabilities. Best for developers and engineers building and scaling production AI workflows. It offers a freemium model with a free tier up to 5,000 events.
Decision Intelligence
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
Visualizing complex multi-agent workflows for researchers
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
Users seeking a platform for general-purpose LLM application development without an agent focus
Fit Score
Complexity
ADVANCED
Company Size
SMALL
MEDIUM
ENTERPRISE
Team Size
INDIVIDUAL
SMALL_TEAM
LARGE_TEAM
Skill Level
EXPERT
About AgentOps
AgentOps is a developer platform for building and managing AI agents and LLM applications, offering observability, debugging, and deployment tools. It provides visual tracking of LLM calls, tools, and multi-agent interactions, alongside cost monitoring and fine-tuning capabilities. Designed for engineers, it supports various LLMs and agent frameworks.
What Makes AgentOps Unique
AgentOps offers native integrations with over 400 LLMs and top agent frameworks like CrewAI and AutoGen, providing comprehensive observability and time-travel debugging for complex multi-agent interactions with just two lines of code.
Capabilities
Visualize LLM calls
Track tool usage
Monitor multi-agent interactions
Time-travel debugging
Log errors and prompt injection attacks
Track token consumption
Monitor LLM costs
Support LLM fine-tuning
Task Categories
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
Limitations
- -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
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use7/10
Output Quality8/10
Value for Money7/10
Customization8/10
Support8/10
Integration8/10
Task Scores
Observability
10
Scalability
8
Agent Coordination
7
Error Recovery
7
Communication Protocol
7
Task Delegation
6
Role Specialization
6
Parallel Execution
5
Trust Score
70/100
Good
Based on 7 verified signals
Trust Signals
Verified CompanyAgentOps
Notable CustomersAmadeus, Asseco Poland, Microsoft +7
Funding$2.6 million
Team Size11-50
SOC 2 CertifiedYes
HIPAA CompliantYes
Data Residency
Switching & Migration
Migration Difficulty
Easy to Switch
Data portable as:
API
Community Forum + Docs
PyPI659.3K/mo
Quick Stats
Agent TypeAssistant
Memorylong term
Planningbasic
CategoryDebugging
PlatformsWEB, API, CLI
Views1
Reviews0
LaunchedJan 2024
Setup Time5 min
Status
active
Company & Links