AgentOps
Also known as: AgentOps.ai
Agent observability and reliability platform with broad model and framework support, OSS SDK surface, and devtools for production-agent debugging. An infrastructure component, not an end-user assistant.
AgentOps is a developer platform for observing, debugging, and monitoring AI agents and LLM applications in production. After adding about two lines of code, its Python or TypeScript SDK records every LLM call, tool invocation, and decision an agent makes as a session trace, which teams can replay step by step to find where a run went wrong. Built on OpenTelemetry-style instrumentation, it provides time-travel debugging, multi-agent workflow visualization, token and cost tracking across 400+ models, evaluation benchmarks, and detection of failures and prompt-injection patterns. It integrates natively with the major agent frameworks, including CrewAI, AutoGen/AG2, the OpenAI Agents SDK, LangChain, LlamaIndex, and CAMEL, making it one of the broadest options for instrumenting multi-framework agent stacks. Developed by the San Francisco company Agency (Staf.ai) and used by engineers at firms including Microsoft, Google, and Deloitte, AgentOps is free to start and moves to usage-based paid plans as event volume grows.
Vendor details
Canonical URL
https://www.agentops.ai
Category
Agent infrastructure
Subcategory
Agent observability & evaluation
Funding status
Seed-stage; ~$2.6M raised (2024) under parent company Agency (Staf.ai).
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Python and TypeScript SDK that instruments agents in about two lines of code. Native integrations with CrewAI, AutoGen/AG2, the OpenAI Agents SDK, LangChain, LlamaIndex, CAMEL, Agno, SwarmZero, and Google ADK, plus cost and usage tracking across 400+ LLMs. Built on OpenTelemetry-style spans, so traces can route into existing observability stacks.
In practice
An agent run goes wrong in production and you have no idea which step broke. AgentOps records every LLM call, tool use, and decision as a session trace you can replay step by step.
Your agent stack spans several frameworks and none of them monitor the others. AgentOps integrates natively with CrewAI, AutoGen, LangChain, LlamaIndex, and the OpenAI Agents SDK, so one tool covers them all.
Token spend creeps up and you can't see where. AgentOps tracks tokens and cost across more than 400 models, so the bill isn't a mystery.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
6.0 / 14 capabilities · 43%
| Integrations & Tool CallingSDK and framework breadth docs 2026-06-08 | Full |
|---|---|
| Workflow OrchestrationObservability-focused infrastructure | Unable to verify |
| Knowledge Grounding & RAGObservability-focused infrastructure | Unable to verify |
| Human Oversight & GuardrailsOfficial docs 2026-06-08 | Unable to verify |
| Security, Identity & GovernanceOfficial docs 2026-06-08 | Partial |
| Observability & AuditabilityCore platform offering 2026-06-08 | Full |
| Memory & State PersistenceObservability-focused infrastructure | Unable to verify |
| Deployment & Data ResidencyOfficial docs 2026-06-08 | Partial |
| Prebuilt Agents, Templates & PacksInfrastructure layer docs 2026-06-08 | Unable to verify |
| Triggers & Channel CoverageObservability-focused infrastructure | Unable to verify |
| Model Flexibility & RoutingBroad model and framework breadth docs 2026-06-08 | Full |
| APIs, SDKs & MCP ExtensibilityOSS SDK and API docs 2026-06-08 | Full |
| Testing, Debugging & OptimizationReliability and devtools docs 2026-06-08 | Full |
| Browser & Computer UseOfficial docs 2026-06-08 | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Free tier · paid Pro tier · Enterprise custom
usage
Included quota
Free tier is event capped; an event is each tracked LLM call, tool call, or action, so a single agent run can emit a dozen or more events and the free tier suits evaluation rather than production. Compliance (SOC 2, HIPAA, NIST AI RMF), self hosting, and SSO are Enterprise gated.
What is public
A free tier, a self serve paid tier, and a custom Enterprise tier are consistently confirmed across sources, as is the MIT licensed open source SDK and app. Exact current tier numbers are not reliably public.
Billing mechanics
Event metered freemium: tracked events deduct from plan quotas, with Enterprise handling compliance, self hosting, and SLAs.
Cost watchouts
For security conscious buyers the effective price is Enterprise contact sales, since SOC 2 and self hosting sit behind the custom tier regardless of the Pro sticker price.
Variable cost rationale
Event based metering scales with agent activity; multi step agent runs consume events quickly relative to headline quotas.
Additional watchouts
Verify live pricing directly with the vendor before budgeting; third party figures conflict and the primary page has been down.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free Basic tier (event volume capped)
Lowest paid plan
Pro tier (self serve; exact current price not reliably public)
Commercial notes
Broad framework coverage (CrewAI, AG2/Autogen, OpenAI Agents SDK, LangChain, CamelAI and 400+ integrations claimed). Open source SDK at ~5.6K GitHub stars.
Key ambiguities
The standalone pricing page has been returning a 404 and third party sources conflict on current numbers (free tier reported at both 5K and 50K events a month; Pro reported at both $40 and $49 a month with differing event allowances). Exact current figures cannot be verified from a primary source, so false precision is withheld.
Missing data
Current exact tier pricing and quotas; the primary pricing page is unreadable (404) as of mid 2026.
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Alternatives to AgentOps
The closest documented capability profiles to AgentOps among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- OpenRouter5.0 / 14A lighter documented profile than AgentOps
- Langfuse7.5 / 14Adds documented Human Oversight & GuardrailsAgentOps vs Langfuse →
- LangWatch6.5 / 14Adds documented Human Oversight & Guardrails
- Braintrust8.0 / 14Adds documented Knowledge Grounding & RAG and Human Oversight & GuardrailsAgentOps vs Braintrust →
- E2B7.0 / 14Adds documented Browser & Computer Use
- LiteLLM7.0 / 14Adds documented Human Oversight & Guardrails
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded