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langfuse-mcp vs holaOS
langfuse-mcp logo
langfuse-mcp
★ 90
vs
holaOS logo
holaOS
★ 5.4k

langfuse-mcp vs holaOS

langfuse-mcp: Langfuse MCP Server is a Model Context Protocol server for Langfuse observability. It provides 37 tools across 9 categories including traces, observations, sessions, exceptions, prompts, datasets, annotation queues, scores, and schema. It supports selective tool loading and read-only mode, and can be used with various MCP clients like Claude Code, Cursor, and Codex CLI.; holaOS: holaOS is an agent environment built for long-horizon work, continuity, and self-evolution. It provides agents with a structured operating system including runtime, memory, tools, apps, and durable state, enabling them to operate continuously, evolve over time, and remain inspectable across different runs.

01

TL;DR

langfuse-mcp logoChoose langfuse-mcp if…

Debug production errors by querying traces and exceptions

holaOS logoChoose holaOS if…

Building agents that perform complex, multi-step tasks over extended periods

02

Side-by-Side Comparison

Field
langfuse-mcp logolangfuse-mcp
holaOS logoholaOS
Category
Observability
Dev Tooling
Stars
★ 90
★ 5.4k
License
MIT
MIT
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-skills, ai-agents, claude-code
agent, agent-harness, agent-runtime
03

Features

langfuse-mcp logolangfuse-mcp
01Comprehensive observability tools (traces, observations, sessions, exceptions, prompts, datasets, annotation queues, scores, schema)
02Selective tool loading to reduce token overhead
03Read-only mode for safe access
04Dataset item upsert functionality
05Includes a skill with debugging playbooks
holaOS logoholaOS
01Structured operating system for agents
02Designed for long-horizon work and continuity
03Enables agents to self-evolve over time
04Provides durable state and memory for continuous operation
05Offers inspectable state across multiple runs
04

Use Cases

langfuse-mcp logolangfuse-mcp
↳Debug production errors by querying traces and exceptions
↳Analyze user sessions for performance optimization
↳Manage prompts and datasets for LLM evaluation
holaOS logoholaOS
↳Building agents that perform complex, multi-step tasks over extended periods
↳Developing continuously learning and evolving AI systems
↳Creating custom workspace applications on top of the holaOS environment
05

Best For

langfuse-mcp logolangfuse-mcp
TrendingObservabilityDev Tooling
holaOS logoholaOS
TrendingMulti-AgentLLM Infra
FAQ

FAQ

What is the difference between langfuse-mcp and holaOS?
Both langfuse-mcp and holaOS are in the Observability category. langfuse-mcp has 90 stars, while holaOS has 5.4k stars.
Which is better, langfuse-mcp or holaOS?
The best choice depends on your use case. Choose langfuse-mcp if Debug production errors by querying traces and exceptions, and holaOS if Building agents that perform complex, multi-step tasks over extended periods.
Is langfuse-mcp free or open source?
Yes, langfuse-mcp is open source on GitHub (MIT).
Is holaOS free or open source?
Yes, holaOS is open source on GitHub (MIT).
→

Related

Alternatives to langfuse-mcp →Alternatives to holaOS →langfuse-mcp details →holaOS details →
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