One-click deploy. Peak performance. These one-command installs are performed by AIMA Cloud's cloud-side AI agent. Copy a command, follow the prompts, and the agent handles install, dependencies, errors, and config. Invite code is built in — 10 free service runs included.
Use the left command on macOS/Linux; use the PowerShell command on Windows.
AI application platform with common failures around multi-service setup, Python/Node deps, and ports.
Best for validating the skip-Docker, still-install-successfully promise.
curl -sL https://aimaservice.ai/install/dify | bash iex (irm https://aimaservice.ai/install/dify) Node-based AI image tool with highly variable Python, model, and plugin-node setups.
Best for validating adaptive install decisions instead of fixed scripts.
curl -sL https://aimaservice.ai/install/comfyui | bash iex (irm https://aimaservice.ai/install/comfyui) Popular Ollama frontend that often fails on runtime deps, ports, and service boot order.
Good for validating post-install verification instead of trusting exit code 0.
curl -sL https://aimaservice.ai/install/open-webui | bash iex (irm https://aimaservice.ai/install/open-webui) Previously validated case-study flow used to compare multi-project expansion against the original path.
Useful as a regression baseline so multi-project work does not break the original path.
curl -sL https://aimaservice.ai/install/openclaw | bash iex (irm https://aimaservice.ai/install/openclaw) LLM inference and deployment stack focused on install-and-deploy flows, then real testing and verification.
Best for validating the install-and-deploy loop, followed by real testing/verification instead of trusting install completion alone.
curl -sL https://aimaservice.ai/install/ktransformers | bash iex (irm https://aimaservice.ai/install/ktransformers)