archestra
★ 4.4k
vs
arrca-graph
★ 13
archestra vs arrca-graph
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.; arrca-graph: This project provides a live Kubernetes service dependency graph, or service map, built from OpenTelemetry traces and the Kubernetes API. It allows users and LLMs to query service relationships, understand cluster structure, and analyze dependencies for tasks like safe deprecation and blast radius assessment.
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.
arrca-graphObservability · ★ 13
Safely deprecating services by identifying all callers of specific API versions.
02
Side-by-Side Comparison
Field
archestraarrca-graphCategory
Observability
Observability
Stars
★ 4.4k
★ 13
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;
REGISTRY=<your-registry> ./deploy.sh
Updated
1d ago
4mo ago
Open Source
Yes
Yes
Tags
AI Platform, AI Security, Kubernetes
Kubernetes Observability, Service Dependency Mapping, OpenTelemetry Tracing
03
Features
archestra01Secure, 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.
arrca-graph01Dynamically builds a relationship graph (service map) from Kubernetes API and OpenTelemetry trace spans.
02Functions without requiring service mesh sidecars or direct kernel access.
03Stores a lightweight, distilled relationship graph optimized for querying by scripts and LLMs, unlike raw trace storage.
04Provides query capabilities via REST API and a Multimodal Conversational Platform (MCP) server for LLM interaction.
04
Use Cases
archestra↳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.
arrca-graph↳Safely deprecating services by identifying all callers of specific API versions.
↳Assessing the blast radius of changes by determining upstream dependencies of a deployment.
↳Identifying unused APIs or dead code by finding exposed endpoints with no callers.
↳Understanding data-store reach by pinpointing services that interact with a specific database.
↳Analyzing cross-zone traffic patterns for services.
05
Best For
archestraEssentialTrending
arrca-graph—
FAQ
FAQ
What is the difference between archestra and arrca-graph?
Both archestra and arrca-graph are in the Observability category. archestra has 4.4k stars, while arrca-graph has 13 stars.
Which is better, archestra or arrca-graph?
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 arrca-graph if Safely deprecating services by identifying all callers of specific API versions..
Is archestra free or open source?
Yes, archestra is open source on GitHub (AGPL-3.0 (enterprise parts under a commercial license)).
Is arrca-graph free or open source?
Yes, arrca-graph is open source on GitHub (Apache-2.0).
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