AgentIndex icon
AgentIndex
asya logo
asya
★ 59
vs
cml-mcp logo
cml-mcp
★ 76

asya vs cml-mcp

asya: Asya is a queue-based actor framework designed for orchestrating AI/ML workloads on Kubernetes, enabling independent scaling and dynamic pipelines. It allows data scientists to write pure Python functions while handling queues, routing, scaling, and monitoring with zero infrastructure code.; cml-mcp: cml-mcp integrates AI assistants with Cisco Modeling Labs (CML), enabling natural language interaction for network lab management. Users can instruct AI applications to create topologies, configure devices, and control labs without manual clicks or scripting.

01

TL;DR

asya logo
asyaVision / Multimodal · ★ 59

Multi-step AI/ML pipelines (e.g., document processing, image pipelines, LLM workflows).

Read asya full review →
cml-mcp logo
cml-mcpVision / Multimodal · ★ 76

Creating and provisioning new network labs with specified topologies and devices.

Read cml-mcp full review →
02

Side-by-Side Comparison

Field
asya logoasya
cml-mcp logocml-mcp
Category
Vision / Multimodal
Vision / Multimodal
Stars
★ 59
★ 76
License
Apache-2.0
BSD-2-Clause
Install Command
helm install asya deliveryhero/asya --namespace asya-system --create-namespace
uvx cml-mcp
Updated
1mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Actor Framework, Kubernetes, AI/ML Orchestration
AI Assistant, Network Automation, Cisco Modeling Labs
03

Features

asya logoasya
01Independent scaling: Each actor scales 0→N based on its own queue depth.
02Zero infrastructure code: Write pure Python functions without dependencies for queues, routing, or retries.
03Dynamic pipelines: Routes are data, not code, allowing modification at runtime.
04Cost efficiency: KEDA autoscaling from zero to max, paying only for active processing.
cml-mcp logocml-mcp
01Create Lab Topologies
02Control Labs and Nodes
03Configure Nodes and Execute CLI Commands
04Perform Packet Captures
05Add Visual Annotations
04

Use Cases

asya logoasya
↳Multi-step AI/ML pipelines (e.g., document processing, image pipelines, LLM workflows).
↳Event-driven workloads (e.g., webhook processing, batch predictions, async API backends).
↳Cost-sensitive deployments (e.g., GPU inference, bursty traffic, dev/staging environments).
cml-mcp logocml-mcp
↳Creating and provisioning new network labs with specified topologies and devices.
↳Configuring and managing the lifecycle (start, stop, wipe) of labs and individual nodes.
↳Executing CLI commands on virtual devices and performing network troubleshooting via packet capture.
↳Adding visual annotations to lab diagrams for better documentation and organization.
FAQ

FAQ

What is the difference between asya and cml-mcp?
Both asya and cml-mcp are in the Vision / Multimodal category. asya has 59 stars, while cml-mcp has 76 stars.
Which is better, asya or cml-mcp?
The best choice depends on your use case. Choose asya if Multi-step AI/ML pipelines (e.g., document processing, image pipelines, LLM workflows)., and cml-mcp if Creating and provisioning new network labs with specified topologies and devices..
Is asya free or open source?
Yes, asya is open source on GitHub (Apache-2.0).
Is cml-mcp free or open source?
Yes, cml-mcp is open source on GitHub (BSD-2-Clause).
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Related

Alternatives to asya →Alternatives to cml-mcp →asya details →cml-mcp details →