Tom’s Guide published a hands-on review of three browser-based AI agent platforms on May 30, positioning Airtop, Make, and Gumloop as alternatives for users uncomfortable giving OpenClaw full access to their local filesystem. The review, written by Christoph Schwaiger, frames the choice as an architecture tradeoff: desktop container agents versus cloud-hosted workflow builders that run entirely in the browser.
The Three Platforms
Airtop takes a conversational approach. Users describe what they want built in plain text and the platform asks clarifying questions to shape the workflow. Prebuilt templates are available for common patterns. The pitch: zero technical setup, natural language configuration.
Make offers a visual canvas where users drag and drop modules representing services (Gmail, Google Drive, Notion, Facebook Messenger) and connect them into sequential workflows. A newer feature adds AI agent nodes that handle nuanced decisions within rigid automation chains, rather than relying purely on rule-based triggers.
Gumloop sits between the two. It supports both text prompts and visual canvas building. Its “skills” system mirrors OpenClaw’s approach: users create instruction sets that agents follow during execution. Each Gumloop agent gets a dedicated email inbox, allowing users to trigger workflows by sending messages to their agent, similar to how OpenClaw users communicate through messaging interfaces.
The Architecture Split
The review highlights a specific user concern driving interest in these alternatives: OpenClaw’s model requires the agent to live on the user’s device with access to local files, applications, and system resources. Browser-based platforms restrict agent access to only the services users explicitly connect through OAuth or API keys.
All three platforms offer free tiers sufficient for at least one agent workflow, with paid plans scaling to more complex multi-agent setups.
The Market Signal
Mainstream tech publications writing “alternatives to X” articles is a reliable indicator that X has become the category default. OpenClaw’s viral adoption earlier in 2026 established desktop container agents as the reference architecture. The emergence of browser-based competitors targeting users who find that model too invasive suggests the agent market is segmenting along a trust axis: users willing to grant local access in exchange for deeper integration versus those who prefer granular, service-by-service permissions through cloud platforms.
The tradeoff is real. Desktop agents can interact with any local application, read screen content, and execute system commands. Browser platforms are limited to whatever APIs they integrate, but that constraint is also the security boundary their users are buying.