Dust vs Genspark

Dust and Genspark both let a non-engineer assemble an agent, but they aim at different surfaces. Dust builds outward into company systems: 70+ connectors including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk, plus native and remote MCP servers for anything without a connector. Agents run on schedules or event triggers, orchestrate together as multi-agent workflows, and use per-agent model choice across 20+ options from GPT, Claude, Gemini, Mistral and DeepSeek. Its governance layer is the real differentiator: Spaces segment data by team, a dual-layer permission model separates what an agent can reach from what a user can see, and SSO via Okta, Entra ID and Jumpcloud plus SCIM and audit logs make broad rollout defensible. Frames adds dashboards and interactive apps. Its July 2026 self-improving skills encode team expertise as reusable instructions that adapt from usage.

Genspark builds inward on knowledge and content. Sparkpages turn web results into cited summaries, deep research mode exposes sources, and AI Employee and Super Agents create internal tools and automations without code. AI Slides, Sheets, Docs, AI Pods, Clip Genius and AI Designer cover research-to-deliverable in one account, and AI Browser adds agentic browsing with ad blocking. GenOffice, its August 2026 open-source AI office suite, pushes it directly at documents, spreadsheets and presentations with agentic workflows. Where Dust governs who an agent may act for, Genspark optimizes how fast one person produces something — which is why its integration list stops at Google Workspace, Microsoft 365, Canva and Figma.

Both are freemium, and neither publishes a simple per-seat number in the data here, so the buying decision is not sticker price — it is consumption risk versus bundling. Dust credits vary by model and tool use and do not roll over, which means two agents doing the same job can cost different amounts depending on which model you attach and how often triggers fire. That is manageable if you own the agents and watch the usage analytics, audit logs and cost tracking Dust ships; it is painful if you want flat-rate predictability, which the vendor positioning itself flags as a reason buyers walk away. Budget for configuration time too: the agent list, skills and permissions need real setup before anyone gets value.

Genspark bundles broad capability into one subscription — synthesis, deep research, slides, sheets, docs, podcasts, video editing and design — so the effective cost per tool falls as you use more of them, and GenOffice adds an open-source option that avoids per-seat lock-in for office work. The trade-off is depth: advanced researchers needing paywalled journals or niche databases, and teams needing Slack or Notion out of the box, will pay for Genspark and still buy something else. Net: Dust's cost scales with automation volume and governance needs; Genspark's scales with teammates and content output.