scritty vs Cognition AI

Side-by-side comparison of features, pricing, and ratings

Live tool data as of 2026-07-17
Reviewed by our team on
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At a glance

DimensionscrittyCognition AI
Pricingfreefreemium · from Free $0/mo
Best forDevelopers using multiple AI coding agents, Teams collaborating on AI-assisted projectsEnterprise engineering teams with large production codebases, Teams needing automated bug triage and incident response
Standout featuresShared memory across multiple AI coding agents · Searchable memory via natural language or tags · Persistent context storage (no session reset)Autonomous planning, coding, and PR creation · FrontierCode evaluation for merge-worthiness · Auto-Triage: automated bug monitoring and fix PRs
Viability score87/10095/100
APINoYes

scritty is the stronger pick for developers using multiple ai coding agents; Cognition AI fits better for enterprise engineering teams with large production codebases.

Built from live tool data, last verified 2026-07-17.

scritty
scritty

Shared, searchable memory for every AI coding agent.

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Cognition AI
Cognition AI

Autonomous AI software engineer for enterprise production code deployment.

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Pricing
Free
Freemium
Plans
—
$0/mo
$20/mo
$100/mo
Custom
Popularity
1 views
7.3k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebDesktop
WebDesktopCLI
Categories
💻 Code & Development
💻 Code & Development
Features
Shared memory across multiple AI coding agents
Searchable memory via natural language or tags
Persistent context storage (no session reset)
Automatic capture of key information from agent interactions
Organize memories by project or team
Local storage for privacy
Cloud-synced memory for collaboration
Editor integration (VSCode, JetBrains, etc.)
CLI integration for terminal-based agents
Natural language query interface
Tag-based memory organization
History view of past memories
Agent-agnostic (works with Cursor, Copilot, Claude, etc.)
Autonomous planning, coding, and PR creation
FrontierCode evaluation for merge-worthiness
Auto-Triage: automated bug monitoring and fix PRs
Native Windows VM support for building and testing
Android emulator integration for mobile testing
Devin Desktop: Windsurf IDE + Devin Cloud + Agent Command Center
Devin Security Swarm: vulnerability find and fix
Devin Fusion: hybrid-model cost savings
Session persistence across runs for long tasks
Multi-step engineering task execution end-to-end
Auto-fixes for review comments in PRs
Integration with GitHub, Slack, Jira, Linear, Datadog
Human-equivalent hour productivity measurement
$10M AI Productivity Guarantee for enterprises
Support for large, complex codebases
Integrations
GitHub
Slack
Windsurf IDE
Android Emulator
Windows VM
VS Code
Jira
Linear
Datadog

Who should pick which

  • Enterprise engineering manager
    Pick: Cognition AI

    Devin can autonomously handle multi-step tasks like bug triage, test generation, and cross-platform builds, integrating directly with existing enterprise tools (GitHub, Jira, Datadog). The $10M productivity guarantee and Fortune 500 deployments provide trust.

  • Solo developer using multiple AI assistants
    Pick: scritty

    Scritty's free shared memory eliminates the need to repeat context across Cursor, Copilot, Claude, etc. It's lightweight, persistent, and works with editors and CLI.

  • Team working on legacy COBOL modernization
    Pick: Cognition AI

    Cognition AI specifically includes COBOL modernization as a capability, and Devin can handle the complex, multi-step analysis and code changes needed.

  • Developer concerned about privacy
    Pick: scritty

    Scritty offers local storage for privacy; Devin is cloud-based and enterprise-focused. Scritty's free tier with local-only option is better for sensitive projects.

  • Team needing end-to-end automated PR creation
    Pick: Cognition AI

    Devin autonomously creates PRs with merge-worthy code, as measured by FrontierCode. It can also auto-fix review comments, reducing human overhead.

Frequently Asked Questions

Which is better, scritty or Cognition AI?

The best choice between scritty and Cognition AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between scritty and Cognition AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of scritty or Cognition AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Explore each tool further

scritty
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Cognition AI
View Cognition AI reviewCognition AI alternatives

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