Platform comparison
AgentSky vs OpenRouter
OpenRouter is a model aggregation API: one key reaches 100+ LLMs across providers, with automatic fallback and per-request model selection. It returns tokens. AgentSky is an agent runtime: one call picks a supported harness and model, and AgentSky runs the agent on a persistent cloud computer. OpenRouter is a dependency inside an agent; AgentSky is the agent itself.
What is OpenRouter
OpenRouter provides a unified API compatible with the OpenAI format that routes requests to 100+ models from Anthropic, OpenAI, Google, Meta, Mistral, and many others. Its value is breadth of model access, automatic provider fallback, and per-token pricing that often matches or beats direct provider rates. It does not run agents, manage compute, or maintain agent harnesses.
What is AgentSky
AgentSky is a cloud agent platform — the OpenRouter for agents. One API call selects a supported harness (Claude Code, Codex, Hermes, OpenClaw, pi, DeepSeek Harness, Kimi Code, opencode) and any available model; the platform provisions a persistent, crash-resistant compute environment, optionally attaches 2000+ channel connectors, and streams task events back to the caller.
Feature comparison
How they compare
| Cloud agent platformAgentSky | Model aggregation APIOpenRouter | |
|---|---|---|
| What you get | A running cloud agent — harness, model, persistent state, channels, and event stream — behind one API call | LLM token responses routed from any of 100+ supported models behind one OpenAI-compatible endpoint |
| Primary layer | Agent runtime: provisions compute, boots harness, manages workspace, streams events | Model API: routes prompts to providers, returns completions |
| Agent harness | 8 maintained harnesses (Claude Code, Codex, Hermes, OpenClaw, pi, and more) behind one call | Not included — you build the agent loop on top of the model responses |
| Persistent compute | Isolated cloud computer per session; survives crashes, network drops, and closed laptops | Not included — stateless model responses; compute and state are your application's responsibility |
| Model breadth | Models matched to each supported harness; BYO Claude or ChatGPT subscription reduces model cost to $0 | 100+ models from Anthropic, OpenAI, Google, Meta, Mistral, Qwen, DeepSeek and others at near-direct pricing |
| Pricing model | Pay per task at list pricing; BYO subscription cuts model cost to $0; no card required to sign up | Per-token pricing at or near provider list rates; pay-as-you-go with no base fee; free models available |
| Best for | Running agentic coding tasks immediately without building agent infrastructure | Accessing many LLMs through one API key for chat, completions, and embedding use cases |
Product details reflect public information. Verify changing facts in the competitor's official docs and current pricing.
When to choose OpenRouter
OpenRouter is the right choice for these workloads
Choose OpenRouter when you need broad, cheap access to many LLMs for chat completions, classification, embedding, or content generation — or when your application already owns the agent loop and just needs a flexible model backend. OpenRouter is also a natural choice when you want automatic fallback across providers without maintaining separate API keys and client code for each one.
FAQ
Common questions
Complete agent infrastructure
