Decagon vs GitHub Spark: 2026 comparison
Conversational support agents that resolve tickets like your best reps.
GitHub's natural-language micro-app builder — describe a personal app, get a deployed working version.
Decagon vs GitHub Spark — specs
| Spec | Decagon | GitHub Spark |
|---|---|---|
| Agent Rank | 72 / 100 (A) | 67 / 100 (B) |
| Autonomy | Autonomous | Autonomous |
| Pricing | Subscription · Free tier | Subscription · from $21 |
| Open source | No | No |
| Capabilities | Tool use, Memory, RAG | Code, Tool use, Memory |
| Integrations | 3 apps | 1 apps |
| Verified | Verified | Verified |
| Released | Apr 2025 | May 2025 |
Agent Rank breakdown
- Autonomy fit
- 9
- Capabilities
- 6
- Integrations
- 4
- Pricing value
- 9
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
- Autonomy fit
- 9
- Capabilities
- 6
- Integrations
- 2
- Pricing value
- 8
- Polish & maturity
- 5
- Verifiability
- 10
Auto-computed from autonomy, capabilities, integrations, pricing, maturity and editorial verification. Updated every deploy. How is this computed?
Pros & cons
- +Chat-first agent with consistently 65–75% tier-1 deflection in production
- +Deep integration with existing helpdesks (Zendesk / Intercom / Salesforce)
- +Mid-market priced — easier conversation than Sierra
- −Voice support exists but is not the strength
- −Sales-led — no self-serve sign-up
- −Per-resolution pricing can sting if tickets spike unexpectedly
- +Native GitHub integration — apps deploy with one click
- +Bundled with Pro+ subscription — no separate billing relationship
- +Best for "personal apps" use case (Slack tools, side-project utilities)
- −Newer than Lovable/Bolt — fewer templates and patterns
- −Less flexible than dedicated builders for production apps
- −Limited to specific app shapes — not a general-purpose builder yet
Pricing
- +Per-resolution pricing
- +Zendesk / Intercom integration
- +Onboarding included
- +Custom integrations
- +SSO + audit log
- +Dedicated CSM
- +Spark included with Pro+
- +Generate + deploy micro-apps
- +GitHub-native hosting
- +Org policies
- +Custom domains
- +SSO
Which one should you pick?
Pick GitHub Spark if its specific capabilities (Code, Tool use) match what you need.
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Frequently asked
Should I pick Decagon or GitHub Spark in 2026?+
Pick Decagon if cost is the main constraint. Pick GitHub Spark if its specific capabilities (Code, Tool use) match what you need. Most working teams running both can use Decagon for primary work and GitHub Spark for the workflows where its specific strengths matter.
What's the price difference between Decagon and GitHub Spark?+
Decagon starts at Subscription · Free tier; GitHub Spark starts at Subscription · from $21. Decagon 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, Decagon or GitHub Spark?+
Both Decagon and GitHub Spark are Autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.