How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; Released has -19.1%.

How does pricing compare?

Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. Released: Contact for Pricing. Pricing is not published as self-serve tiers on the homepage; the products are distributed through the Atlassian Marketplace and commercial terms are arranged per organisation. Both apps follow the standard Atlassian Marketplace model, so costs typically scale with your Atlassian user count. Contact Released or check the marketplace listing for current pricing.

What are alternatives to Dust and Released?

Other tools in related categories include Notion, Salesforce Agentforce (formerly Einstein), Grammarly, Glean, Abacus.AI.

Dust vs Released — Traffic (547.22K vs 8.16K), Pricing & Verdict

Open AI Tools

Dust vs Released — Traffic (547.22K vs 8.16K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Dust	Released
Official Domain	dust.tt	released.so
Pricing Model	Contact for Pricing	Contact for Pricing
Monthly Visits	547.22K (547,217)	8.16K (8,161)
MoM Traffic Delta	+9.48K (+1.8%)	-1.92K (-19.1%)
Primary Market & Share	🇫🇷 France (65.4%)	🇺🇸 United States (40.7%)
Direct Visits / mo	456.92K	3.26K
User Rating	4.4	4.2
Supported Platforms	Website	Website

Dust

Multiplayer AI where people and agents work side by side

Agents with company context

Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.

70+ connectors and MCP support

Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.

Model flexibility

Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.

AI-native governance

A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.