営業向けAIデジタルワーカー — Alice（SDR）・Mike（SDR）・Jordan（CSM）がアウトバウンドのフルサイクルを担当。
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Agentforce vs Sycamorewhich AI sales agent should you pick in 2026?
Salesforce's platform for building and deploying AI agents inside your Salesforce instance.
Tool useRAGMemory
Agentforce vs Sycamore — specs
| Spec | Agentforce | Sycamore |
|---|---|---|
| Agent Rank | 80 / 100 (A) | 67 / 100 (B) |
| Autonomy | Autonomous | Semi-autonomous |
| Pricing | Pay per task · from $2 | Subscription |
| Open source | No | No |
| Capabilities | Tool use, RAG, Memory | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 4 apps |
| Verified | Verified | — |
| Released | Mar 2025 | Mar 2026 |
Agent Rank breakdown
Agentforce
Agent Rank
80/ 100
- 自律性
- 9
- 機能
- 6
- 連携
- 6
- 料金
- 8
- 完成度
- 9
- 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
Agentforce
メリット
- +Native Salesforce integration — zero data movement
- +Outcome-based pricing aligns with deflection ROI
- +Inherits Salesforce security, audit, and compliance posture
デメリット
- −Only valuable if you already run on Salesforce
- −Per-conversation pricing can balloon at scale
- −Agent quality varies by use case — best on well-defined service tasks
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
Agentforce
Per Conversation
$2/タスク
Salesforce customers
- +$2 per conversation resolved
- +Foundation AI Cloud included
- +No separate per-seat cost
おすすめ
Enterprise bundle
カスタム
Large Salesforce orgs
- +Volume pricing
- +Agentforce Service + Sales + Custom
- +Data Cloud included
- +Dedicated success engineer
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?
Agentforce
Pick Agentforce if cost is the main constraint or if you want the highest autonomy and the verification loop is in place.
Try Agentforce →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 Agentforce or Sycamore in 2026?+
Pick Agentforce if cost is the main constraint or if you want the highest autonomy and the verification loop is in place. Pick Sycamore if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Agentforce for primary work and Sycamore for the workflows where its specific strengths matter.
What's the price difference between Agentforce and Sycamore?+
Agentforce starts at Pay per task · from $2; Sycamore starts at Subscription. Agentforce 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, Agentforce or Sycamore?+
Agentforce 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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Adjacent agents in the same category with overlapping capabilities — worth a side-by-side glance before you commit.
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