ClawStaff vs Dust

ClawStaff and Dust both help teams deploy AI assistants connected to their work tools, but they differ sharply in pricing model, architecture, and philosophy. ClawStaff charges per agent and lets you bring your own AI keys. Dust charges per user with AI costs included. For a 20-person team, that difference alone can mean $179/mo vs. $580/mo. But pricing is only part of the story — Dust has genuine strengths in knowledge management that are worth understanding before you choose.

Overview

ClawStaff is a managed AI agent deployment platform. You deploy agents that connect to your team’s tools — Slack, Teams, GitHub, Jira, Notion, Confluence — and each agent runs in its own isolated ClawCage Docker container. Pricing is per-agent: Solo ($59/mo for 2 agents), Team ($179/mo for 10), Agency ($479/mo for 50). You bring your own API keys for AI models (BYOK), so there is zero markup on inference.

Dust is a cloud-hosted platform for building AI assistants that can access your company’s knowledge. Dust provides managed data source connections, a retrieval system that indexes your documents, and assistants that can answer questions across your connected data. Pricing is per-user at $29/user/mo, with AI model costs (GPT-4, Claude, etc.) included in that price.

Key Differences

Pricing model is the most immediately obvious difference. ClawStaff charges based on how many agents you run. Dust charges based on how many people on your team use the platform. This creates very different cost curves:

• 5-person team: ClawStaff Solo at $59/mo vs. Dust at $145/mo
• 20-person team: ClawStaff Team at $179/mo vs. Dust at $580/mo
• 50-person team: ClawStaff Agency at $479/mo vs. Dust at $1,450/mo

The per-user model does include AI inference costs, which is simpler to budget. With ClawStaff’s BYOK approach, you pay providers directly — this gives you more control and typically lower costs, but it means managing your own API keys and monitoring usage.

Knowledge management is where Dust genuinely excels. Dust was built around the idea of a centralized knowledge layer. You connect data sources (Google Drive, Notion, Slack history, etc.), Dust indexes them, and your assistants can retrieve relevant context automatically. The retrieval is managed and optimized by Dust’s platform.

ClawStaff takes a different approach: each agent has access to specific tools and data sources configured for its role. This is more secure (agents only see what they need) but requires more intentional setup for knowledge-heavy use cases. If your primary need is “an assistant that can answer questions about everything in our company docs,” Dust’s managed retrieval has a head start.

Isolation and security favor ClawStaff. Each agent runs in its own ClawCage Docker container, meaning one agent cannot access another’s data, tools, or runtime. Dust runs on shared cloud infrastructure with logical separation. For teams in regulated industries or with strict data handling requirements, ClawStaff’s container isolation and self-hosting option provide a stronger security posture.

Self-hosting is available with ClawStaff (on Hetzner infrastructure) and not with Dust. If your organization requires that AI tools run on infrastructure you control — for compliance, data residency, or security policy reasons — ClawStaff is the only option of the two.

Pricing Comparison

ClawStaff’s BYOK model means you also pay AI providers directly. For most teams, this adds $50-200/mo depending on usage, which still keeps total cost well below Dust’s per-user pricing for teams larger than about 5 people.

Dust’s included AI costs are convenient for budgeting, and for very small teams (1-3 people) the all-in pricing can be competitive. But the per-user model scales linearly with team size, which gets expensive quickly.

When to Choose ClawStaff

• Your team has more than 5 people who will use AI assistants — the per-agent model saves real money
• You want to self-host for compliance, data residency, or security policy reasons
• Agent isolation matters — you need guarantees that agents cannot access each other’s data
• You want control over which AI models you use and how much you pay for inference
• Your agents need deep integrations with developer tools (GitHub, Jira, Confluence) alongside messaging platforms
• You prefer predictable costs that do not scale with headcount

When to Choose Dust

• Your primary use case is knowledge retrieval — you want an AI assistant that answers questions across company documents, and you want the retrieval managed for you
• Your team is small (under 5 people) and the per-user pricing is not a concern
• You prefer an all-in-one price that includes AI model costs with no API key management
• You do not need self-hosting or container-level agent isolation
• Your focus is more on internal knowledge assistants than on developer workflow automation
• Speed of setup for document-heavy use cases is your top priority

The Bottom Line

ClawStaff and Dust overlap in the “AI assistants connected to work tools” space, but they optimize for different things. ClawStaff optimizes for cost efficiency at scale, security isolation, and flexibility (BYOK, self-hosting, deep dev tool integrations). Dust optimizes for knowledge management simplicity and an all-in-one experience.

For teams larger than about 5 people, ClawStaff’s per-agent pricing is meaningfully cheaper. For teams with strict security or compliance requirements, ClawStaff’s container isolation and self-hosting are hard to match. But if your primary need is “connect our Google Drive and Notion, and give everyone an AI assistant that can search across everything,” Dust’s managed retrieval layer is genuinely well done and worth evaluating.

The best approach is to be honest about your primary use case: if it is knowledge retrieval and your team is small, try Dust. If it is multi-tool automation, your team is growing, or you need infrastructure control, ClawStaff is the stronger fit.

Looking for a more detailed breakdown of why teams switch? See our Dust alternative page for migration steps and a deeper cost comparison.