scritty vs Cognition AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | scritty | Cognition AI |
|---|---|---|
| Pricing | Free | Freemium (enterprise pricing undisclosed) |
| Target Audience | Individual developers & teams using AI agents | Enterprise engineering teams |
| Core Function | Shared memory for AI agents | Autonomous software engineer |
| Integrations | VSCode, JetBrains, CLI (no native integrations listed) | GitHub, Slack, Jira, Linear, Datadog, Windsurf, Android Emulator, Windows VM |
| Key Differentiator | Persistent, shared context across multiple AI agents | End-to-end multi-step task execution with productivity guarantee |
If you're an enterprise team needing an autonomous agent that plans, codes, and ships production code end-to-end, Cognition AI's Devin is the clear choice—it's backed by a $10M guarantee and Fortune 500 deployments. For individual developers or small teams using multiple AI coding assistants who want persistent, shared memory across sessions, Scritty is a free, lightweight solution that solves context repetition. They address completely different problems: autonomous engineering vs. context sharing.
Autonomous software engineer that plans, writes, tests, and ships production code inside your existing codebase.
Visit WebsiteWhat real users say: scritty vs Cognition AI
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
scritty
63 mentions across 3 sources · 57% positive — mixed (weighted across 3 sources)
Hacker News, YouTube, Product Hunt
What users praise
- • Passive capture inside the terminal means no wrapper or workflow change to adopt it
- • One shared memory across Claude Code, Codex, Copilot, Antigravity, and Ollama ends context re-pasting
- • Local-first storage plus at-rest encryption keeps the corpus on your machine
- • MCP server closes the loop, letting agents query past context programmatically
What frustrates them
- • No clear mechanism to mark stale or wrong memories as superseded
- • Unconfirmed whether API keys in raw terminal output get redacted at capture
- • Cross-model memory legibility is unproven when different agents read each other's notes
- • How agents are hooked — wrapper versus passive observation — is still unclear
Researched Sep 14, 2026
Cognition AI
50 mentions across 3 sources · 43% positive — mixed (averaged across 3 sources)
Hacker News, Bluesky, Lemmy
What users praise
- • End-to-end autonomous planning, coding, and PR creation for enterprise teams.
- • FrontierCode evaluation ensures merge-worthy code output.
- • Auto-Triage automates bug monitoring and fix PRs.
- • Native Windows VM and Android emulator support for cross-platform testing.
What frustrates them
- • Community feedback is almost nonexistent — little proof of reliability.
- • Critics question the $10B valuation given unproven adoption.
- • Political ties to Peter Thiel may deter some users.
- • Limited transparency on actual customer success stories.
Researched Jul 16, 2026
Who should pick which
- Enterprise engineering managerPick: 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 assistantsPick: 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 modernizationPick: 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 privacyPick: 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 creationPick: 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
scritty vs Cognition AI: which should you choose?
If you're an enterprise team needing an autonomous agent that plans, codes, and ships production code end-to-end, Cognition AI's Devin is the clear choice—it's backed by a $10M guarantee and Fortune 500 deployments. For individual developers or small teams using multiple AI coding assistants who want persistent, shared memory across sessions, Scritty is a free, lightweight solution that solves context repetition. They address completely different problems: autonomous engineering vs. context sharing.
Can Scritty work with Devin?
Yes, technically you could use Scritty to store context that Devin could query, but Scritty is designed for assisted agents (Copilot, Cursor) while Devin is autonomous. There's no official integration.
Is Devin free to try?
Cognition AI offers a freemium tier, but advanced features likely require paid enterprise plan. Specific pricing is not public.
Does Scritty support team collaboration?
Yes, Scritty supports cloud-synced memory for teams, though there's no on-prem option yet.
Which tool is better for CI/CD integration?
Devin integrates with GitHub for auto-PRs and with Datadog for monitoring; Scritty has no native CI/CD integration.
Can I use Scritty without a cloud account?
Yes, Scritty offers local storage for privacy, so cloud syncing is optional.
Does Devin work with Android emulator natively?
Yes, Devin includes Android emulator integration for testing mobile apps.
What programming languages do they support?
Devin is language-agnostic (handles any language its VM supports); Scritty is memory-agnostic, storing context regardless of language.
Which tool has better support?
Devin, with enterprise backing and $10M guarantee, likely offers dedicated support; Scritty is community-supported for now.
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Last reviewed: July 3, 2026