Blog
Learn more about Dust, get product updates, AI agents best practices and more.
Agent Memory: Building persistence into AI collaboration
When we built Dust, we solved a fundamental problem: AI agents that start from zero. Custom agents with access to curated company knowledge meant every...
Supercharge your sales with MCP tools in Dust
Our latest Session for Builders showcased the game-changing potential of MCP for sales teams. Instead of outdated, rigid automation, MCP brings intelligent,...
Dust Product update 15
Hi there, We've shipped significant improvements to Dust this month. Your agents can now create email and calendar invites, be chained together for complex...
How We Taught AI Agents to Navigate Company Data Like a Filesystem
In April 2025, something kept showing up in our logs. Our AI agents were inventing their own syntax for searching content — file:front/src/some-file-name.tsx ,...
Give Dust Agents Access to Your Internal Systems with Custom MCP Servers
The Model Context Protocol (MCP) is revolutionizing how AI agents interact with external systems, and Dust is at the forefront of making this technology...
Dust is better at company data
Word is on the street that for AI agents to be useful at work, they should be plugged to your company data . But when an AI agent provider says it's ‘plugged...
AI agents hackathon winners
🏆 25+ teams spent their Friday at Qonto 's Paris office, hacking on agent-focused projects in all shapes and sizes. Special focus on the winners. If you’re...
Dust Product update 14
Hi there, We've introduced significant improvements to Dust. You can now build with Claude 4 Sonnet, discover agents through our enhanced tagging system, and...
Interviews at Dust
At Dust, we're building an AI operating system to transform how work gets done. We connect company infrastructure to AI capabilities, bringing intelligent...
Beyond Dashboards: How Natural Language Queries Unlock Organizational Context
https://www.youtube.com/embed/RNcXWPCaLqg?feature=oembed Most companies sit on disconnected data silos – warehouses filled with business metrics, spreadsheets...
Dust for Dust
The Founder's Dilemma Every founder faces moments of doubt. For me, the persistent challenge has been reconciling the years of effort we've poured into Dust...
MCP and Enterprise Agents: Building the AI operating system for work
The Model Context Protocol (MCP), created by Justin Spahr-Summers and David Soria Parra at Anthropic, has emerged as a popular standard for how AI models...
Further reading
- Top LangChain alternatives for building LLM-powered applications (2026)April 9, 2026
- Where can you build AI agents without writing code?April 9, 2026
- 5 Gumloop alternatives for AI workflow automation (2026)April 9, 2026
- Glean agents: How they work and when you need moreApril 3, 2026
- What is an AI prompt?April 3, 2026
- No-Code AI Agent Builder: What It Is, How It Works, and Where to StartApril 2, 2026
- How to develop an LLM agent (Without building one from scratch)April 2, 2026
- What is enterprise AI? Everything you need to knowApril 2, 2026
- Top AI Agent tools in 2026 (And when you need a platform)April 2, 2026
- Microsoft Copilot Agents: What they do and When your team needs moreApril 1, 2026