エンタープライズ向けコードインテリジェンスエージェント — コードに関する質問に回答し、大規模モノレポをナビゲート。
コード実行ツール利用RAGメモリ
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Augment Code vs Torqwhich AI code agent should you pick in 2026?
Autonomous coding agent grounded in your whole codebase — multi-file edits with deep context.
CodeTool useMemoryRAG
Augment Code vs Torq — specs
| Spec | Augment Code | Torq |
|---|---|---|
| Agent Rank | 75 / 100 (A) | 67 / 100 (B) |
| Autonomy | Semi-autonomous | Autonomous |
| Pricing | Freemium · from $30 | Subscription |
| Open source | No | No |
| Capabilities | Code, Tool use, Memory, RAG | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 5 apps |
| Verified | Verified | — |
| Released | Apr 2024 | Jan 2025 |
Agent Rank breakdown
Augment Code
Agent Rank
75/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 4
- 料金
- 7
- 完成度
- 8
- 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?
Torq
Agent Rank
67/ 100
- 自律性
- 9
- 機能
- 8
- 連携
- 6
- 料金
- 4
- 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?
Pros & cons
Augment Code
メリット
- +Best-in-class context engine (200K tokens) — handles monoliths competitors choke on
- +Native AGENTS.md spec-driven workflow with multi-agent "Intent" orchestration
- +70.6% on SWE-Bench Verified — top of the public coding-agent leaderboard
デメリット
- −Enterprise focus = pricier than Cursor for solo devs
- −Less hands-off than fully-autonomous Devin/Factory Droid
- −Web/UI changes ship slower than IDE-first competitors
Torq
メリット
- +$1.2B valuation Series D Jan 2026; Forbes "de facto leader" in agentic SOC
- +Hyperautomation roots + agent layer = best of both worlds
- +100+ security tool integrations; widest of any agentic SOC platform
デメリット
- −Enterprise focus — SMB SOCs find pricing prohibitive
- −Steeper learning curve than newer agent-native competitors
- −Best ROI requires existing SIEM/EDR/SOAR stack to orchestrate
Pricing
Augment Code
Free
無料
Individuals
- +25 messages/month
- +VS Code + JetBrains
- +Public repos only
おすすめ
Pro
$30/月
Developers
- +Unlimited messages
- +200K Context Engine
- +Private repos
Enterprise
カスタム
Engineering teams
- +SSO + audit logs
- +Custom retention
- +Dedicated CS
Torq
Pro
カスタム
Mid-market SOC
- +Agentic workflows
- +100+ integrations
- +Standard SLA
おすすめ
Enterprise
カスタム
Large SOC
- +Unlimited agents
- +Custom playbooks
- +Strategic CS
Sovereign
カスタム
Regulated
- +Air-gapped deployment
- +EU/US data residency
- +Dedicated engineering
Which one should you pick?
Augment Code
Pick Augment Code if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Augment Code →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Augment Code or Torq in 2026?+
Pick Augment Code if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Torq if you want the highest autonomy and the verification loop is in place. Most working teams running both can use Augment Code for primary work and Torq for the workflows where its specific strengths matter.
What's the price difference between Augment Code and Torq?+
Augment Code starts at Freemium · from $30; Torq starts at Subscription. Augment Code 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, Augment Code or Torq?+
Torq is the more autonomous of the two (Autonomous vs Semi-autonomous). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.
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コード実行ツール利用RAGメモリDemo · hover to playGitHub のAIペアプログラマー — インライン補完、チャット、そしてPRを自動作成する新しいAgent モードを搭載。
コード実行ツール利用メモリDemo · hover to play
See more alternatives: alternatives to Augment Code · alternatives to Torq
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