archestra
★ 4.4k
vs
holmesgpt
★ 3.7k
archestra vs holmesgpt
archestra: Archestra is a secure, MCP-native AI platform that simplifies enterprise AI adoption. It provides comprehensive tools for AI orchestration, security against prompt injections and data exfiltration, cost management, and observability across the organization.; holmesgpt: HolmesGPT is an AI agent designed for cloud troubleshooting and alert investigation. It connects AI models with live observability data and organizational knowledge to find root causes and suggest remediations.
01
TL;DR
archestraObservability · ★ 4.4k
When to choose:
- You are a platform or security team that needs central control over how the company uses models and MCP servers.
- You want one platform covering an internal chat, an LLM gateway, an MCP gateway and registry, and an agent runtime.
- You need SSO, RBAC, sandboxed code execution, guardrails, per-user tool authorisation, OpenTelemetry and Prometheus.
When to skip:
- You are a small team that only needs a proxy: Kubernetes-oriented components make this a significant deployment.
- You need to avoid AGPL or commercial terms: the default code is AGPL-3.0 and parts marked Enterprise are under a commercial licence.
- You already run gateways or chat apps whose roles overlap; plan what it would replace.
holmesgptObservability · ★ 3.7k
Automated cloud troubleshooting and root cause analysis for operational issues.
02
Side-by-Side Comparison
Field
Category
Observability
Observability
Stars
★ 4.4k
★ 3.7k
License
AGPL-3.0 (enterprise parts under a commercial license)
Apache-2.0
Install Command
docker pull archestra/platform:latest; docker run -p 9000:9000 -p 3000:3000 -e ARCHESTRA_QUICKSTART=true -v /var/run/docker.sock:/var/run/docker.sock -v archestra-postgres-data:/var/lib/postgresql/data -v archestra-app-data:/app/data archestra/platform;
git clone https://github.com/HolmesGPT/holmesgpt.git
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
AI Agent, Cloud Troubleshooting, Observability
03
Features
01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
01Investigates cloud problems, finds root causes, and suggests remediations
02Dozens of built-in integrations for cloud providers, observability tools, and on-call systems
03Utilizes an agentic loop to analyze data from multiple sources
04Supports custom data sources and runbooks for tailored investigations
05Provides end-to-end automation for alert investigation and analysis reporting
04
Use Cases
↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
↳Automated cloud troubleshooting and root cause analysis for operational issues.
↳Proactive investigation of alerts from various monitoring and on-call systems (e.g., Prometheus, PagerDuty).
↳Leveraging internal documentation and knowledge bases for incident resolution and remediation.
05
Best For
EssentialTrending
Trending
FAQ
FAQ
What is the difference between archestra and holmesgpt?
Both archestra and holmesgpt are in the Observability category. archestra has 4.4k stars, while holmesgpt has 3.7k stars.
Which is better, archestra or holmesgpt?
The best choice depends on your use case. Choose archestra if Centralized orchestration and secure management of AI models and data for platform teams., and holmesgpt if Automated cloud troubleshooting and root cause analysis for operational issues..
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is holmesgpt free or open source?
Yes, holmesgpt is open source on GitHub (Apache-2.0).
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