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holaOS vs mcp-victoriametrics
holaOS logo
holaOS
★ 5.4k
vs
mcp-victoriametrics logo
mcp-victoriametrics
★ 173

holaOS vs mcp-victoriametrics

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.; mcp-victoriametrics: This MCP server provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. It offers a comprehensive interface for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances.

01

TL;DR

holaOS logoChoose holaOS if…

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

mcp-victoriametrics logoChoose mcp-victoriametrics if…

Monitoring and observability: query metrics, analyze alert rules, and visualize data

02

Side-by-Side Comparison

Field
holaOS logoholaOS
mcp-victoriametrics logomcp-victoriametrics
Category
Dev Tooling
RAG / Knowledge Base
Stars
★ 5.4k
★ 173
License
MIT
Apache-2.0
Updated
1d ago
2w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent, agent-harness, agent-runtime
ai, mcp, mcp-server
03

Features

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
mcp-victoriametrics logomcp-victoriametrics
01Query metrics and explore data, including drawing graphs if the client supports it
02List and export available metrics, labels, label values, and entire series
03Analyze and test alerting and recording rules
04Show parameters of your VictoriaMetrics instance
05Explore cardinality and metrics usage statistics
04

Use Cases

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
mcp-victoriametrics logomcp-victoriametrics
↳Monitoring and observability: query metrics, analyze alert rules, and visualize data
↳Debugging and optimization: debug relabel rules, downsampling strategies, and retention configurations
↳Automation and integration: integrate with AI assistants via MCP protocol for automated operations
05

Best For

holaOS logoholaOS
TrendingMulti-AgentLLM Infra
mcp-victoriametrics logomcp-victoriametrics
TrendingRAG / Knowledge BaseObservability
FAQ

FAQ

What is the difference between holaOS and mcp-victoriametrics?
Both holaOS and mcp-victoriametrics are in the Dev Tooling category. holaOS has 5.4k stars, while mcp-victoriametrics has 173 stars.
Which is better, holaOS or mcp-victoriametrics?
The best choice depends on your use case. Choose holaOS if Building agents that perform complex, multi-step tasks over extended periods, and mcp-victoriametrics if Monitoring and observability: query metrics, analyze alert rules, and visualize data.
Is holaOS free or open source?
Yes, holaOS is open source on GitHub (MIT).
Is mcp-victoriametrics free or open source?
Yes, mcp-victoriametrics is open source on GitHub (Apache-2.0).
→

Related

Alternatives to holaOS →Alternatives to mcp-victoriametrics →holaOS details →mcp-victoriametrics details →
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