Canvas

Canvas is purpose-built for a narrow but powerful use-case: orchestrating multiple AI agents in a non-linear workspace. If your work involves complex research, data pipelines, or content workflows that require multiple agents collaborating, Canvas offers a visual approach that beats endless chat threads. Its infinite canvas with drag-and-drop, real-time collaboration, and persistent context lets you see the big picture — something linear UIs can't do. That said, Canvas isn't for everyone. It lacks mobile and desktop apps, and its web-only nature means you're tied to a browser. If you just need a simple AI assistant, the linear paradigm is faster and simpler. The free tier is generous for exploration, but power users will hit limits and need the Pro plan. Compared to Fixie, which focuses on agent composition via code, Canvas is more visual and accessible to non-developers. AutoGPT handles autonomous agents but not side-by-side orchestration. Canvas excels when you need to see and control the flow. In practice, we'd reach for Canvas when mapping out a research analysis with multiple agents (e.g., one for web scraping, one for summarization, one for data extraction) and needing to tweak steps visually. Where it bites: no integrations beyond what the platform offers, and no offline mode. For enterprises needing API access or on-prem, it's a miss — but for indie researchers and small teams, it's a strong pick.