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Langfuse

Tool A

Langfuse

Open source LLM observability, tracing, and evaluation platform

4.8
freemiumintermediateFeaturedTrendingVerified
Feature Score11/22
Langfuse interface screenshot
Agno

Tool B

Agno

High-performance multimodal AI agent framework with native memory and speed

4.9
freemiumintermediateFeaturedTrendingVerified
Feature Score18/22
Agno interface screenshot

Choose this if…

Langfuse

Langfuse
  • 1Langfuse fits your category use case
  • 2You prefer their ecosystem & integrations

Choose this if…

Agno

Agno
  • 1You need Voice Input
  • 2You need Image Output
  • 3You need Video Input
  • 4Community rates it higher (⭐4.9 vs 4.8)

Overview

LangfuseLangfuseSince 2025-06

Langfuse is an open-source LLM engineering and observability platform built for teams developing production-grade generative AI applications and autonomous multi-agent pipelines. It captures granular traces across token usage, prompt versions, latency bottlenecks, and retrieval accuracy, giving developers complete visibility into model behavior at runtime. By integrating seamlessly with major AI frameworks such as LangChain, LlamaIndex, LiteLLM, and the OpenAI SDK, Langfuse eliminates the guesswork from debugging complex agent execution trees. Developers can monitor production cost metrics, identify hallucinated responses, and run rigorous continuous evaluation suites on live traffic.

The platform architecture features asynchronous tracing hooks that introduce negligible latency overhead to live user interactions. Teams can set up human-in-the-loop scoring, programmatic assertion checks, and automated LLM-as-a-judge evaluations to benchmark prompt iterations against golden test datasets. Langfuse is fully open-source with MIT licensing, allowing organizations with strict data governance policies to self-host the complete observability stack on private Kubernetes clusters or AWS VPCs while maintaining identical enterprise dashboard ergonomics.

Platforms
WebAPIlinuxmacos
Best For
Developersengineersai-researchersTeams
Categories
Agent AIData AI
AgnoAgnoSince 2025-10

Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory, knowledge retrieval, and multimodal reasoning capabilities. It is designed to replace bloated agent frameworks with a pure, pythonic developer experience. Agno agents operate up to 10x faster than legacy orchestration libraries by eliminating unnecessary abstractions. With built-in support for vector databases (PgVector, Qdrant, Pinecone), structured output schemas, and agent-to-agent delegating protocols, developers can build complex autonomous assistants with under 20 lines of clean code.

The framework includes first-class multimodal tools allowing agents to analyze images, process video streams, execute code in secure sandboxes, and query SQL databases. Agno agents natively persist session state and user memory in PostgreSQL, making stateful conversations effortless across web sessions. Agno is fully open-source with extensive documentation, offering enterprise-ready middleware for authentication, telemetry, and rate limiting.

Platforms
WebAPIlinuxmacoswindows
Best For
Developersai-engineersdata-scientistsstartups
Categories
Agent AICode AI

Features Comparison

22 total
LangfuseLangfuse
Feature
AgnoAgno
Core AI Capabilities
Free Tier
Free Tier
Free Tier
Multimodal
Multimodal
Multimodal
Voice Input
Voice Input
Voice Input
Image Input
Image Input
Image Input
Image Output
Image Output
Image Output
Video Input
Video Input
Video Input
Video Output
Video Output
Video Output
Audio Output
Audio Output
Audio Output
Web Search
Web Search
Web Search
Code Execution
Code Execution
Code Execution
Memory
Memory
Memory
Developer & API
API Access
API Access
API Access
Open Source
Open Source
Open Source
Works Offline
Works Offline
Works Offline
Plugins
Plugins
Plugins
Self-Hostable
Self-Hostable
Self-Hostable
Browser Extension
Browser Extension
Browser Extension
Productivity & Teams
No Signup Required
No Signup Required
No Signup Required
Customizable
Customizable
Customizable
File Upload
File Upload
File Upload
Collaboration
Collaboration
Collaboration
White Label
White Label
White Label

Pricing & Plans

LangfuseLangfusefreemium
Free TierActive

Generous free cloud tier with 50k traces/month and unlimited self-hosting via Docker

Paid Plan

Pro from $59/mo and Enterprise for custom SLAs, team RBAC, and data retention

Get Started
AgnoAgnofreemium
Free TierActive

100% free open-source framework with unlimited local agent execution

Paid Plan

Agno Cloud from $29/mo for managed agent deployment, monitoring, and team workspaces

Get Started

Pros & Cons

LangfuseLangfuse

Pros

100% open source with complete self-hosting freedom via Docker and Helm

Native integrations with LangChain, LlamaIndex, LiteLLM, and OpenAI

Granular cost tracking and per-user token consumption breakdowns

Comprehensive LLM-as-a-judge and human scoring workflows

Asynchronous telemetry with near-zero latency overhead

Cons

Self-hosting requires maintaining PostgreSQL and ClickHouse storage backends

Advanced multi-tenant team RBAC is restricted to enterprise tiers

AgnoAgno

Pros

Up to 10x faster execution speed compared to legacy agent libraries

Clean, pythonic syntax with zero unnecessary framework bloat

Native multimodal support for images, video, and audio reasoning

Built-in PostgreSQL memory persistence and vector RAG integration

Completely open source with active developer community

Cons

Primary ecosystem focused on Python (TypeScript SDK in early development)

Migration required for legacy Phidata v1 codebases

Use Cases

LangfuseLangfuse
llm observabilityagent tracingprompt evaluationcost trackingrag debugging
AgnoAgno
autonomous agentsmulti agent teamsmultimodal airag chatbotsautomated coding

The Verdict

Langfuse

Langfuse

11/22 features · ⭐4.8

Langfuse is an open-source LLM engineering and observability platform built for teams developing production-grade generative AI applications and autonomous mult

Agno

Agno

18/22 features · ⭐4.9

Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory

Both Langfuse and Agno are capable AI tools serving distinct use cases. Agno leads on raw feature breadth (18 vs 11), making it a stronger choice if you need maximum capability.

Frequently Asked Questions

What is the main difference between Langfuse and Agno?

Langfuse — "Open source LLM observability, tracing, and evaluation platform" — focuses on agent-ai, data-ai, while Agno — "High-performance multimodal AI agent framework with native memory and speed" — targets agent-ai, code-ai. The key differences lie in their feature sets and pricing models.

Is Langfuse free to use?

Yes, Langfuse offers a free tier. Generous free cloud tier with 50k traces/month and unlimited self-hosting via Docker

Is Agno free to use?

Yes, Agno offers a free tier. 100% free open-source framework with unlimited local agent execution

Which is better: Langfuse or Agno?

It depends on your use case. Langfuse is rated ⭐4.8 and is best suited for developers, engineers, ai-researchers, teams. Agno is rated ⭐4.9 and is ideal for developers, ai-engineers, data-scientists, startups. Use this comparison to evaluate features that matter to your workflow.

Does Langfuse have an API?

Yes, Langfuse provides API access for developers and integrations.

More AI Matchups

Still deciding?

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