Compare approaches
A model API returns tokens. AgentSky runs the agent.
Choose the layer your team actually needs—from model access to a complete agent and its cloud computer.
| Model accessModel API | Agent logicAgent SDK | Your infrastructureDIY runtime | Complete cloud agentAgentSky | |
|---|---|---|---|---|
| What you get | Tokens and model responses | An agent loop and primitives | Exactly what your team builds | A running agent and computer |
| Agent harness | You build it | One SDK or framework | You install and maintain it | Choose a supported harness |
| Cloud computer | Not included | You provide it | You operate it | Included and isolated |
| State and recovery | Application-defined | Application-defined | You design and operate it | Managed with the session |
| Tools and apps | You integrate them | You integrate them | You own every connection | Enable through the same API |
| Ongoing harness upgrades | Not applicable | You absorb SDK changes | You absorb every change | AgentSky absorbs them |
This compares infrastructure layers, not time-sensitive vendor plans or feature counts.
The decision
Buy the layer you do not want to maintain.
Choose a model API
when your product needs model output and your team already owns the agent loop, computer, state, and integrations.
Choose an agent SDK
when you want to build the agent behavior yourself and are ready to supply the runtime and operations around it.
Choose a DIY runtime
when infrastructure control is the product advantage and your team wants to maintain every harness, sandbox, and recovery path.
Choose AgentSky
when your product needs the working agent and its computer through one API, while keeping the freedom to choose the supported harness and model.
Platform comparisons
AgentSky vs the alternatives
These pages compare AgentSky to infrastructure tools that builders often evaluate alongside it. Each covers what the tool actually is, a feature-by-feature table, and when to choose each.
AgentSky vs E2B
E2B gives you a Firecracker microVM and an SDK — you assemble the agent. AgentSky gives you the running agent.
Cloud agent platform vs serverless GPU computeAgentSky vs Modal
Modal is built for ML training and batch inference. AgentSky is built for long-running agentic task completion.
Cloud agent platform vs model aggregation APIAgentSky vs OpenRouter
OpenRouter routes to 100+ LLMs and returns tokens. AgentSky runs the full agent with compute.
Cloud agent platform vs lLM proxy and routerAgentSky vs LiteLLM
LiteLLM unifies 100+ LLM APIs behind one proxy. AgentSky runs the complete agent on persistent cloud compute.
Cloud agent platform vs aI gateway and observabilityAgentSky vs Portkey
Portkey adds routing, caching, and observability to LLM calls. AgentSky runs the full agent on persistent compute.
Complete agent infrastructure