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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.
Last updated: Apr 25, 2026
FREEMIUM
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.
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 It 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.
Use Cases & Target Users
Use Cases
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
Company Size
SMALL
MEDIUM
ENTERPRISE
Fit Score
Complexity
ADVANCED
Target Team Size
INDIVIDUAL
SMALL_TEAM
LARGE_TEAM
Target Skill Level
EXPERT
Key Features
Visualize LLM calls, tools, and multi-agent interactions
Time travel debugging for replaying agent runs
Full data trail of logs, errors, and prompt injection attacks
Track token counts across agents
Manage and visualize agent spend with cost tracking
Fine-tune specialized LLMs on saved completions
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
HYBRID
Compliance & Security
SOC 2 (as claimed)
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
Uses Models
GPT-4Gemini 2.5 ProGrokClaude 3.5 Sonnet
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
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
53/100
Limited Data
Based on 8 data signals
Reflects publicly available data, not an independent audit
Social Proof10/40
Customers (per vendor website)Amadeus, Asseco Poland, Microsoft +7
Company Strength25/25
Team Size11-50
Funding$2.6 million
Company ListedAgentOps
Operational Trust8/20
Data Residency
Open Source5.4K stars
Compliance10/15
SOC 2 (as claimed)Yes
HIPAA (as claimed)Yes
Switching & Migration
Migration Difficulty
Easy to Switch
Data portable as:
API
Community Forum + Docs
PyPI659.3K/mo
Quick Stats
CategoryWorkflow Orchestration
PlatformsWEB, API, CLI
Integrations19+
Views5
LaunchedJan 2024
Setup Time5 min
AddedMar 2026
Company & Links