scritty vs Poolside AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | scritty | Poolside AI |
|---|---|---|
| Pricing | Free | Contact sales (enterprise) |
| Target User | Individual developers & small teams | Enterprise teams in regulated industries |
| Core Function | Persistent, shared memory layer for AI coding agents | Custom AI agents & foundation models for complex software engineering |
| Deployment | Local storage or cloud-synced | On-prem, VPC, workstation (defense only) |
| Context Handling | Infinite via searchable memory database | 256K context for multi-step reasoning |
| Integrations | VSCode, JetBrains, CLI, terminal-based agents | IDE extensions, TUI, agents, binaries, data connectors |
Poolside AI is built for enterprises that need custom, governed AI agents for high-consequence software engineering, with on-prem deployment and multi-agent orchestration. Scritty is a free, lightweight tool for developers who want a persistent memory layer across multiple AI coding agents to avoid repeating context. If you have an enterprise budget and strict security needs, choose Poolside AI; if you're an individual or small team seeking a simple memory solution, choose Scritty.
Open-weight agentic coding models — Laguna XS 2.1 and Laguna S 2.1 — built for secure on-prem and air-gapped enterprise AI.
Visit WebsiteWhat real users say: scritty vs Poolside 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- • No clear mechanism to mark stale or wrong memories as superseded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
Poolside AI
40 mentions across 4 sources · 48% positive — mixed (averaged across 4 sources)
Hacker News, YouTube, Bluesky, Lemmy
What users praise
- • Open-weight models with strong SWE-bench scores (72.5%).
- • On-prem, VPC, and air-gapped deployment for high security.
- • 256K context length supports long-horizon reasoning tasks.
- • Multi-agent orchestration with sandboxed execution environments.
What frustrates them
- • Community feedback is scarce; limited real-world user reviews.
- • Platform is still in research preview as of April 2026.
- • Pricing is opaque; only 'contact us' with no published tiers.
- • Trademark dispute with Poolside FM creates name confusion.
Researched Jul 17, 2026
Who should pick which
- Enterprise developer in financePick: Poolside AI
Poolside AI provides on-prem deployment, custom models, and auditability required for regulated environments, plus 256K context for complex multi-step reasoning.
- Solo founderPick: scritty
Scritty is free and easy to set up, providing a persistent memory across various AI coding agents without any upfront cost.
- Team using Cursor and Claude CodePick: scritty
Scritty seamlessly integrates with multiple agents, sharing context across the team so no one repeats instructions.
- Defense contractorPick: Poolside AI
Poolside AI supports workstation deployment for defense and offers forward-deployed engineers, meeting strict security requirements.
- Developer tired of repeating contextPick: scritty
Scritty captures and serves memories automatically, eliminating the need to manually paste context into each new agent session.
Frequently Asked Questions
scritty vs Poolside AI: which should you choose?
Poolside AI is built for enterprises that need custom, governed AI agents for high-consequence software engineering, with on-prem deployment and multi-agent orchestration. Scritty is a free, lightweight tool for developers who want a persistent memory layer across multiple AI coding agents to avoid repeating context. If you have an enterprise budget and strict security needs, choose Poolside AI; if you're an individual or small team seeking a simple memory solution, choose Scritty.
What is the main difference between Poolside AI and Scritty?
Poolside AI provides custom AI agents and foundation models for complex software engineering in regulated industries. Scritty provides a persistent memory layer for existing AI coding agents so they don't forget context.
Can I use Scritty with Poolside AI?
Technically yes, Scritty is a generic memory layer that works with any AI coding agent, including custom agents like those from Poolside AI. However, Poolside AI may have its own context management.
Which tool is better for a startup with no budget?
Scritty is free and ideal for startups. Poolside AI requires a sales contract and is likely expensive.
Does Poolside AI provide on-prem deployment?
Yes, Poolside AI can be deployed on-premises or in a VPC, with workstation deployment available for defense customers.
Does Scritty support on-prem storage?
Yes, Scritty offers local storage for privacy, but also has cloud-synced memory for collaboration.
What context lengths do Poolside AI models support?
Both Laguna XS.2 and M.1 support up to 256K context as of their latest update.
How does Scritty capture memories?
Scritty runs as a background service that hooks into your editor or terminal, automatically capturing key information from agent interactions.
Which integrations does each tool offer?
Poolside AI integrates with IDEs via extensions, TUI, and has data connectors. Scritty integrates with VSCode, JetBrains, and CLI for terminal-based agents.
More scritty or Poolside AI comparisons
Choose Recall if you're an individual Claude Code user who wants free, offline session memory to reduce token waste. Choose Poolside AI if you're an enterprise in a regulated industry needing custom f
Qoder is better for developers who want autonomous multi-agent coding on large codebases with a freemium entry point. Poolside AI is superior for regulated enterprises that need custom, open-weight mo
Poolside AI is built for enterprises needing secure, custom AI agents in regulated environments, while fanbox is a free, individual-focused tool for rapid, visual coding on Mac. Unless you have enterp
If you're building high-stakes software in finance or defense and need custom models deployed inside a VPC with enterprise governance, Poolside AI is the only option. But for most teams using AI codin
Poolside AI and TestSprite CLI solve entirely different problems. Choose Poolside if you need a secure, custom foundation model for code generation in regulated, air-gapped environments. Choose TestSp
Choose Windows-Copilot-API if you need a free, self-hosted API for prototyping with GPT-4/5 and can accept no uptime guarantees. Choose Poolside AI if you are an enterprise in a regulated industry tha
Explore each tool further
Browse these categories
One email a week — new tools, honest comparisons, no spam.
Last reviewed: July 3, 2026