Agent Switchboard

Langfuse vs SkaleAgents vs AgentOps

Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.

Langfuse vs SkaleAgents vs AgentOps, side by side
Langfuseby LangfuseRemove Langfuse from this comparisonSkaleAgentsby Binary Labs LLCRemove SkaleAgents from this comparisonAgentOpsby AgentOpsRemove AgentOps from this comparison
Sets it apart
  • Official Langfuse listing
  • Only one with an MCP server
  • Newest listing (added Oct 24, 2026)
—
What it isOpen-source LLM observability and analytics. Trace, evaluate, and debug LLM apps with prompt versioning, score tracking, and a full analytics dashboard.Scans Terraform, CloudFormation, Kubernetes and Pulumi IaC plus CI files and Dockerfiles for misconfigurations and committed secrets, and reviews app architecture, from an MCP server or offline CLI.Observability platform purpose-built for AI agents. Track agent sessions, LLM calls, tool use, and costs. Integrates with LangChain, CrewAI, AutoGen, and OpenAI.
ProviderLangfuseBinary Labs LLCAgentOps
Official vendorLangfuseNot an official listingNot an official listing
VerifiedYesSame for all
AccessAPI, CLIMCP, CLIAPI
AuthAPI KeyOAuth 2.0API Key
MCP serverNo MCP serverIn its setup guideNo MCP server
CLI installnpmnpm i -g @langfuse/cliIn its docsNo CLI
API base URLIn its docsNo APIIn its docs
SkillsTrace every LLM call and chain step with full input/output capture and latency, Version and manage prompts with a/b testing and rollback across environments, Score traces with custom evaluation rubrics to track quality over time, Analyze user session funnels, latency distributions, and token cost trends, Self-host on any infrastructure or use Langfuse Cloud with zero configurationScan IaC, Review Architecture, Review Application Architecture, Plan Architecture Review, Offline CLI ScanRecord full agent sessions including every LLM call, tool use, and state transition, Track token usage and costs per agent run across all major LLM providers, Monitor tool execution timing and failures to diagnose agent bottlenecks, Replay any agent session step-by-step for debugging and root cause analysis, Integrate with LangChain, CrewAI, AutoGen, and OpenAI SDK in two lines of code
StreamingNoSame for all
Push notificationsNoSame for all
CategoriesInfrastructure & OpsCode & DevTools, Security, Infrastructure & OpsInfrastructure & Ops
Tagsobservability, open-source, llm-tracing, prompt-management, evaluation, self-hostedterraform, kubernetes, infrastructure-as-code, static-analysis, secret-scanning, architecture-review, cloudformationobservability, monitoring, llm-tracing, agent-debugging, langchain, crewai, python
Listed sinceApr 8, 2026Oct 24, 2026Apr 8, 2026
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/compare?a=langfuse&b=skaleagents&c=agentops
3 listings side by side · "same" marks a row every column shares
listings
langfuseapi+cliOfficial Langfuse listingskaleagentsmcp+cliOnly one with an MCP server; Newest listing (added Oct 24, 2026)agentopsapi—
rows
descriptionOpen-source LLM observability and analytics. Trace, evaluate, and debug LLM apps with prompt versioning, score tracking, and a full analytics dashboard. | Scans Terraform, CloudFormation, Kubernetes and Pulumi IaC plus CI files and Dockerfiles for misconfigurations and committed secrets, and reviews app architecture, from an MCP server or offline CLI. | Observability platform purpose-built for AI agents. Track agent sessions, LLM calls, tool use, and costs. Integrates with LangChain, CrewAI, AutoGen, and OpenAI.
providerLangfuse | Binary Labs LLC | AgentOps
officialLangfuse | Not an official listing | Not an official listing
verified (same)Yes
accessAPI, CLI | MCP, CLI | API
authAPI Key | OAuth 2.0 | API Key
mcpNo MCP server | In its setup guide | No MCP server
clinpm: npm i -g @langfuse/cli | In its docs | No CLI
apiIn its docs | No API | In its docs
skillsTrace every LLM call and chain step with full input/output capture and latency, Version and manage prompts with a/b testing and rollback across environments, Score traces with custom evaluation rubrics to track quality over time, Analyze user session funnels, latency distributions, and token cost trends, Self-host on any infrastructure or use Langfuse Cloud with zero configuration | Scan IaC, Review Architecture, Review Application Architecture, Plan Architecture Review, Offline CLI Scan | Record full agent sessions including every LLM call, tool use, and state transition, Track token usage and costs per agent run across all major LLM providers, Monitor tool execution timing and failures to diagnose agent bottlenecks, Replay any agent session step-by-step for debugging and root cause analysis, Integrate with LangChain, CrewAI, AutoGen, and OpenAI SDK in two lines of code
streaming (same)No
push (same)No
categoriesInfrastructure & Ops | Code & DevTools, Security, Infrastructure & Ops | Infrastructure & Ops
tagsobservability, open-source, llm-tracing, prompt-management, evaluation, self-hosted | terraform, kubernetes, infrastructure-as-code, static-analysis, secret-scanning, architecture-review, cloudformation | observability, monitoring, llm-tracing, agent-debugging, langchain, crewai, python
addedApr 8, 2026 | Oct 24, 2026 | Apr 8, 2026
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