Choose Dust if
you want a model-agnostic, non-engineer-friendly workspace where your own team builds agents that co-work on shared company knowledge, backed by a published SOC 2/GDPR/HIPAA-ready trust posture.
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Apollo Space AI vs Dust
Apollo Space AIApollo Space AI positions itself as the operating system for your company — a hierarchy of agents (a Chief of Staff, an outbound agent, a research agent, and more) that remember, act, and improve across your existing tools.
DustDust positions itself as "multiplayer AI for human-agent collaboration" — a shared workspace where people and agents co-contribute on the same knowledge, tools, and conversations, built for a non-engineer "AI Operator" persona.
At a glance: Apollo Space AI vs Dust
| Apollo Space AI | Dust | |
|---|---|---|
| What it is | The operating system for your company — a hierarchy of agents that orchestrates work across the business, with named roles ready out of the box. | A shared workspace where people and AI agents collaborate as co-contributors on company knowledge and tools, built for teams up to 100 people on its self-serve Business plan. |
| Autonomy model | Four escalating levels, from Suggests to Founder grade; core agents (Athena, Marcus, the Digital Twin) propose and wait for a human on money, external comms, and governance. | No staged autonomy framework is published; Dust frames itself around human-agent "collaboration" rather than autonomy levels, with agents running on schedules, triggers, and MCP tool calls alongside people. |
| Agent roles / teams | Named roles out of the box — Chief of Staff (Athena), outbound (Marcus), research (Scout), a personal Digital Twin — plus a broader CMO/CFO/CTO/PM/SDR/QA roster; every agent can spawn sub-agents per task. | No fixed personas — you build custom agents inside shared "Pods"/workspaces; the model is chosen per agent from 20+ frontier models (GPT, Claude, Gemini, Mistral, DeepSeek), none gated by plan. |
| Integrations (as stated by each vendor) | 300+ apps across 10 categories (AI, CRM, dev, comms, finance and more), named on Apollo's own integrations page. | Vendor's own pages disagree: the homepage claims "100+ production connectors," but the pricing/feature table caps the self-serve Business plan at "Up to 3" data-source connectors (unlimited requires Enterprise); docs list 11 named native connections, reachable further via MCP. |
| Memory & context | A memory layer described as "the brain that learns from every cycle of your company"; every conversation becomes knowledge agents recall later. | A "semantic context layer" over connected company data, positioned around shared knowledge co-contribution rather than a named memory product. |
| Pricing entry point | Free tier: $0/mo, 1 agent, 50 tasks/month. Paid tiers (Client, Startups, Enterprise) are priced via "Contact us"/"Contact sales," no public per-seat price. | Free $0 (500 credits, one-time, non-renewing); Pro $24–30/seat/month (8,000 credits/seat/month); Max $120–150/seat/month (40,000 credits/seat/month); Business plan capped at 100 seats, Enterprise is "talk to sales" only. |
Choose the right tool for the job
Choose Apollo Space AI if
you want unlimited data-source connectors without an Enterprise "talk to sales" gate — Dust's own comparison table caps its self-serve Business plan at just 3 connectors.
Choose Apollo Space AI if
you want ready-made named agent roles — a Chief of Staff, an outbound agent, a research agent — instead of building each agent's persona from an empty workspace.
Is Dust a good alternative to Apollo Space AI?
Dust is a strong fit if your priority is a model-agnostic workspace where a non-engineer builds and governs custom agents alongside a human team, with a published enterprise trust posture (SOC 2, GDPR, HIPAA-ready). Apollo Space AI instead ships named agent roles ready to use (Chief of Staff, outbound, research) across shared company memory, rather than a blank workspace to build on.
How many integrations does Dust actually support on its self-serve plan?
Dust's homepage advertises "100+ production connectors," but its own pricing page's feature-comparison table caps the self-serve Business plan at "Up to 3" data-source connectors — unlimited connectors require the custom-priced Enterprise tier. Apollo Space AI states 300+ apps across 10 categories on its integrations page, without a plan-based connector cap disclosed.
How does Dust's pricing compare to Apollo Space AI's?
Dust prices per seat with a credit meter: Free (500 credits, one-time), Pro ($24–30/seat/month, 8,000 credits), and Max ($120–150/seat/month, 40,000 credits), capped at 100 seats before requiring Enterprise. Apollo Space AI publishes a $0 Free tier and prices Client, Startups, and Enterprise tiers via direct contact rather than a public seat price.
Sources — last reviewed 2026-07-04
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