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compare · Dust vs. 3ngram
Dust is a capable enterprise platform for deploying internal AI agents. if you have organizational buy-in and need a large catalog of connectors, it is a real answer. 3ngram works for one person, today, carrying decisions, commitments, blockers, and source context inside the tools already in use.
at a glance · 7 capabilities · side by side
| capability | 3ngram | Dust |
|---|---|---|
| what it is | shared memory and follow-through for AI work | enterprise AI agent platform |
| approach | MCP server inside Claude / ChatGPT | separate workspace with custom agents |
| memory | typed — decisions, commitments, blockers | no persistent cross-session memory |
| follow-through | proactive — overdue tracking, stale commitments | agent triggers (reactive) |
| integrations | GitHub, files, growing connector set | large catalog of enterprise connectors |
| works inside Claude / ChatGPT | yes, native MCP | no, separate workspace |
| team size required | works for individuals | yes, organizational buy-in needed |
when to choose · Dust
you are an enterprise deploying centralized AI agents connected to many internal tools, with governance, SSO, and workspace management.
when to choose · 3ngram
you want AI work carried forward today with structured memory, follow-through, and reusable workflows — zero organizational friction.
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