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Agentforce vs Granola: 2026 comparison

Salesforce's platform for building and deploying AI agents inside your Salesforce instance.

💼SalesAutonomousPay per task · from $2
Tool useRAGMemory

Meeting-notes agent that captures, summarizes and turns calls into action — the personal CoS for knowledge workers.

🙋‍♂️PersonalAssistantFreemium · from $18
MemoryTool useVoice

Agentforce vs Granola — specs

SpecAgentforceGranola
Agent Rank78 / 100 (A)77 / 100 (A)
AutonomyAutonomousAssistant
PricingPay per task · from $2Freemium · from $18
Open sourceNoNo
CapabilitiesTool use, RAG, MemoryMemory, Tool use, Voice
Integrations3 apps4 apps
VerifiedVerifiedVerified
ReleasedMar 2025Mar 2025

Categories: AgentforceSales · GranolaPersonal

Agent Rank breakdown

Agentforce
Agent Rank
78/ 100
AA-tier
Autonomy fit
9
Capabilities
6
Integrations
6
Pricing value
8
Polish & maturity
8
Verifiability
10

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Granola
Agent Rank
77/ 100
AA-tier
Autonomy fit
7
Capabilities
6
Integrations
8
Pricing value
8
Polish & maturity
7
Verifiability
10

Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?

Pros & cons

Agentforce
Pros
  • +Native Salesforce integration — zero data movement
  • +Outcome-based pricing aligns with deflection ROI
  • +Inherits Salesforce security, audit, and compliance posture
Cons
  • 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
Granola
Pros
  • +Best-in-class meeting capture UX — quietly takes notes during your normal Zoom/Meet/Teams call
  • +AI summaries actually capture action items, not just transcripts
  • +iOS app makes voice-memo style capture effortless
Cons
  • Assistant tier — surfaces information but doesn't take actions on it
  • Less useful if your work is text-heavy rather than meeting-heavy
  • Per-seat pricing on Business tier scales linearly

Pricing

Agentforce
Per Conversation
$2/task
Salesforce customers
  • +$2 per conversation resolved
  • +Foundation AI Cloud included
  • +No separate per-seat cost
Recommended
Enterprise bundle
Custom
Large Salesforce orgs
  • +Volume pricing
  • +Agentforce Service + Sales + Custom
  • +Data Cloud included
  • +Dedicated success engineer
Granola
Free
Free
Trial
  • +10 notes/mo
  • +Standard transcription
  • +Basic summaries
Recommended
Plus
$18/mo
Knowledge workers
  • +Unlimited notes
  • +Custom templates
  • +Folders + tags
  • +iOS app
Business
$14/seat/mo
Teams
  • +Shared folders
  • +Admin controls
  • +SSO option

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 →
Granola

Pick Granola if its specific capabilities (Memory, Tool use) match what you need.

Try Granola →

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Frequently asked

Should I pick Agentforce or Granola 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 Granola if its specific capabilities (Memory, Tool use) match what you need. Most working teams running both can use Agentforce for primary work and Granola for the workflows where its specific strengths matter.

What's the price difference between Agentforce and Granola?+

Agentforce starts at Pay per task · from $2; Granola starts at Freemium · from $18. 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 Granola?+

Agentforce is the more autonomous of the two (Autonomous vs Assistant). Higher autonomy ships throughput faster but requires verification loops in place — see our autonomous-vs-copilot framing for when each tier wins.

Want the real monthly cost at your volume? Run the TCO calculator →
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