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 Sycamorewhich 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 Sycamore — specs
| Spec | Augment Code | Sycamore |
|---|---|---|
| Agent Rank | 75 / 100 (A) | 67 / 100 (B) |
| Autonomy | Semi-autonomous | Semi-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 | 4 apps |
| Verified | Verified | — |
| Released | Apr 2024 | Mar 2026 |
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?
Sycamore
Agent Rank
67/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 8
- 料金
- 4
- 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
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
Sycamore
メリット
- +$65M seed Mar 2026 (Coatue + Lightspeed) — one of the largest agent-platform seeds ever
- +Built by ex-Atlassian CTO — strong execution + enterprise distribution roots
- +Trust + memory layer designed for "production at scale" agents
デメリット
- −Newest of the agent-OS platforms — limited public case studies
- −No public pricing — sales-led motion
- −Competing against Dust, Sema4.ai, Glean for the same enterprise budget
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
Sycamore
Team
カスタム
Engineering teams
- +Agent OS core
- +Standard integrations
- +Standard SLA
おすすめ
Enterprise
カスタム
Large orgs
- +Multi-agent coordination
- +Trust + memory layers
- +Strategic CS
Sovereign
カスタム
Regulated
- +On-prem deployment
- +Dedicated engineering
- +Custom integrations
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 →Sycamore
Pick Sycamore if its specific capabilities (Tool use, Memory) match what you need.
Try Sycamore →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Augment Code or Sycamore 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 Sycamore if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Augment Code for primary work and Sycamore for the workflows where its specific strengths matter.
What's the price difference between Augment Code and Sycamore?+
Augment Code starts at Freemium · from $30; Sycamore 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 Sycamore?+
Both Augment Code and Sycamore are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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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
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