Lapu AI vs Scalaris Atlas

Lapu AI is a desktop agent for carrying out multi-step tasks with files, terminals and desktop applications on macOS and Windows. Give it a plain-language goal and it plans steps, selects tools and can pause for approval. It controls applications through interfaces exposed by the operating system, rather than taking over the mouse and keyboard. Workflows can be packaged as reusable skills and scheduled. It can operate services such as Notion, Slack, Google Workspace and Microsoft 365 through desktop or signed-in browser interfaces, without native connectors. Files, documents, folders, application data and audit logs remain on the user's machine; only context needed for a reasoning step is sent to the model provider. High-risk actions require explicit confirmation, and local action logs are retained by default for up to 90 days. The native app requires macOS 12 Monterey or later on Apple Silicon, or Windows 10 or 11 on 64-bit x86_64, with at least 4 GB RAM. A free plan is available; paid plans are listed from $20/mo.

Scalaris Atlas is a local deployment that turns a computer into a private host for AI models and serves them to compatible clients. It accepts OpenAI-compatible clients at localhost and exposes routes for chat completions, embeddings, and model lists. Atlas includes Pulsar, while its model manager lets users install their own models. The API covers a strict subset of the OpenAI HTTP surface; unimplemented endpoints return a typed 501 response. Models are served locally, and the maker says nothing leaves the machine. Egress is denied by default, and non-loopback binds are refused unless explicitly enabled. Atlas has no telemetry or phone-home behavior, according to the maker. Scalaris Toolbox installs and supervises it. Configuration is kept in one TOML file and reloads when changed. GPU exhaustion can trigger CPU fallback only with --allow-cpu. It is free forever at free and runs on macOS, Linux, and Windows.