エンドツーエンドでPRを完結させる、自律的なAIソフトウェアエンジニアです。
Factory AI vs Sweepwhich AI code agent should you pick in 2026?
Autonomous "Droid" agent for end-to-end engineering with native AGENTS.md support.
Factory AI vs Sweep — specs
| Spec | Factory AI | Sweep |
|---|---|---|
| Agent Rank | 75 / 100 (A) | 60 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · from $40 | Freemium · from $30 |
| Open source | No | Yes |
| Capabilities | Code, Tool use, Memory, Multi-agent | Code, Tool use, Memory |
| Integrations | 4 apps | 1 apps |
| Verified | — | — |
| Released | Oct 2025 | Mar 2025 |
Agent Rank breakdown
- 自律性
- 9
- 機能
- 8
- 連携
- 8
- 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?
- 自律性
- 9
- 機能
- 6
- 連携
- 2
- 料金
- 7
- 完成度
- 6
- 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?
Pros & cons
- +True end-to-end autonomy — Droid agent ships complete features without hand-holding
- +Native AGENTS.md adopter — fits modern repo conventions out of the box
- +Multi-agent coordination across linked repos for cross-service changes
- −Token-based pricing can spike on large refactors
- −Zed-first; JetBrains support newer, VS Code on roadmap
- −Less mature than Devin for very long-running autonomous sessions
- +Issue-to-PR turnaround in minutes for well-described bugs
- +GitHub-native — authenticates as a GitHub App, no extension needed
- +Great on TypeScript / Python / Go codebases with reasonable test coverage
- −Struggles when issues are vague or codebase is messy
- −No interactive mode — you describe, it ships
- −Less effective on closed languages or proprietary frameworks
Pricing
- +Droid autonomous agent
- +Zed + JetBrains
- +5M Standard Tokens/mo
- +Unlimited Droids
- +50M tokens/mo
- +Multi-agent coordination
- +Custom token volume
- +SSO + audit
- +Dedicated support
- +Up to 5 issue-to-PR runs/month
- +Public repos only
- +Unlimited runs
- +Private repos
- +Configurable rules
- +Self-hosted option
- +SAML SSO
- +Dedicated support
Which one should you pick?
Pick Factory AI if your stack spans many tools and integration depth is the constraint.
Try Factory AI →Pick Sweep if cost is the main constraint or if auditability or self-hosting matters.
Try Sweep →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Factory AI or Sweep in 2026?+
Pick Factory AI if your stack spans many tools and integration depth is the constraint. Pick Sweep if cost is the main constraint or if auditability or self-hosting matters. Most working teams running both can use Factory AI for primary work and Sweep for the workflows where its specific strengths matter.
What's the price difference between Factory AI and Sweep?+
Factory AI starts at Subscription · from $40; Sweep starts at Freemium · from $30. Sweep 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, Factory AI or Sweep?+
Both Factory AI and Sweep are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
Readers comparing Factory AI and Sweep also picked
Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
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単一のプロンプトから完全なアプリケーションをビルドしてリリース — Replit クラウド上で動作します。
コード実行ツール利用ブラウザ操作メモリDemo · hover to playGitHubの自然言語マイクロアプリビルダー — 個人用アプリを説明するだけで、デプロイ済みの動作バージョンを取得できます。
コード実行ツール利用メモリ
Demo · hover to play