Enterprise "Agent OS" with trust, memory, and multi-agent coordination — built by ex-Atlassian CTO.
ツール利用メモリRAGマルチエージェント
Dust vs Linear Agentwhich AI ops agent should you pick in 2026?
"Multiplayer AI" — shared, governed company-wide agents across your stack.
Tool useMemoryRAGMulti-agent
AI agent inside Linear — triages issues, drafts engineering specs, runs cross-team workflows on tickets.
Tool useRAGMemory
Dust vs Linear Agent — specs
| Spec | Dust | Linear Agent |
|---|---|---|
| Agent Rank | 77 / 100 (A) | 73 / 100 (A) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · from $29 | Subscription · from $8 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG, Multi-agent | Tool use, RAG, Memory |
| Integrations | 5 apps | 3 apps |
| Verified | — | Verified |
| Released | Mar 2025 | Apr 2025 |
Agent Rank breakdown
Dust
Agent Rank
77/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 10
- 料金
- 7
- 完成度
- 7
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Linear Agent
Agent Rank
73/ 100
- 自律性
- 8
- 機能
- 6
- 連携
- 6
- 料金
- 8
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Dust
メリット
- +"Multiplayer AI" — shared, governed workspaces designed for company-wide use
- +$40M Series B (Sequoia, Snowflake, Datadog) signals strong enterprise validation
- +Deepest connector library among agent platforms (Slack/Notion/GitHub/Salesforce/GDrive)
デメリット
- −French roots — strongest support in EU/UK time zones
- −Higher per-seat pricing than Glean for read-only retrieval use cases
- −Custom agent authoring requires technical user (less low-code than Gumloop)
Linear Agent
メリット
- +Native to Linear — zero extra setup for teams already using it
- +Triage and spec-drafting genuinely save time on issue grooming
- +Pricing folds AI features into the existing Linear seat
デメリット
- −Only useful if you live in Linear
- −Less powerful than dedicated coding agents (Cursor, Claude Code) for code work
- −Agent autonomy bounded by Linear-specific tasks
Pricing
Dust
Free
無料
Individuals
- +1 workspace
- +3 agents
- +GPT-4o + Claude 3.5
おすすめ
Pro
$29/席/月
Teams
- +Unlimited agents
- +All integrations
- +Custom data sources
Enterprise
カスタム
Large orgs
- +SSO + audit
- +Custom retention
- +Dedicated tenants
Linear Agent
Free
無料
Small teams (≤10 users)
- +Basic Linear
- +Limited AI features
おすすめ
Standard
$8/席/月
Growing teams
- +Full Linear + AI Agent
- +Issue triage
- +Spec drafting
Business
$14/席/月
Larger orgs
- +SAML SSO
- +SCIM
- +Advanced analytics
Which one should you pick?
Linear Agent
Pick Linear Agent if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
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Frequently asked
Should I pick Dust or Linear Agent in 2026?+
Pick Dust if its specific capabilities (Tool use, Memory) match what you need. Pick Linear Agent if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Most working teams running both can use Dust for primary work and Linear Agent for the workflows where its specific strengths matter.
What's the price difference between Dust and Linear Agent?+
Dust starts at Subscription · from $29; Linear Agent starts at Subscription · from $8. Linear Agent is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Dust or Linear Agent?+
Both Dust and Linear Agent are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Readers comparing Dust and Linear Agent also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
GDPR-native multi-model AI workspace with built-in agent builder — Europe's Glean alternative.
ツール利用メモリRAGマルチエージェント
Demo · hover to playAIエージェント搭載のビジュアルWorkflow自動化 — 2,000以上のアプリをまたぐドラッグ＆ドロップシナリオ。
ツール利用メモリマルチエージェントDemo · hover to play
See more alternatives: alternatives to Dust · alternatives to Linear Agent
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