Panes vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-09-23
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At a glance

DimensionPanesPoolside AI
PricingFreeContact sales (enterprise)
Primary UseLightweight UI modal libraryEnterprise AI agents for software engineering
Target AudienceFront-end developers, indie hackersLarge enterprises in regulated industries
DeploymentBrowser (client-side)On-prem / VPC / air-gapped
Key Technical Specs12KB gzipped, zero dependencies256K context, models up to 225B params
Open SourceOpen-source (GitHub)Open-weight models (research preview)

Poolside AI and Panes serve completely different needs. Poolside AI is a heavy-duty enterprise platform for deploying AI agents in high-consequence software engineering, while Panes is a free, lightweight UI library for modals and panes. Choose Poolside AI if you have enterprise budget and need secure, auditable AI for complex coding tasks; otherwise Panes is excellent for quick, cross-framework modals at zero cost.

Panes
Panes

Tiny, framework-agnostic library for Cupertino-style modals, cards, and panes.

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Poolside AI
Poolside AI

Open-weight agentic coding models — Laguna XS 2.1 and Laguna S 2.1 — built for secure on-prem and air-gapped enterprise AI.

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Pricing
Free
Contact Sales
Plans
$0
—
Popularity
10 views
7.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Web
DesktopCLIAPIWeb
Categories
💻 Code & Development
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Cupertino-style sheet panes
Bulletin panes
Inversed modal panes
Smooth animations and transitions
Light/dark appearance customization
Modular plugin system
Zero third-party dependencies
12KB minified/gzipped bundle
AI-assisted codebase
Framework-agnostic (Svelte, Vue, React, Angular, Elixir, vanilla JS)
Dynamic modals, cards, and panes
Laguna S 2.1 open-weight model: 118B params, 8B active, 1M context
Laguna XS 2.1 open-weight model: 33B params, 3B active, 256K context
Laguna XS 2.1 designed to run on-device for lightweight scenarios
Laguna S 2.1 positioned for frontier-class long-horizon reasoning
Single-agent and multi-agent orchestration with planning and tool use
Sandboxed agent execution environments for running generated code safely
Desktop app and CLI for agentic coding sessions
Model selection, tool grouping, and project management in the client
Data connectors to repositories, databases, and warehouses
Role-based access control for both human users and agents
End-to-end trace observability for agent runs
Governance and auditability built for regulated environments
Custom model fine-tuning on domain-specific data
Deployment inside your security boundary: on-prem, VPC, or workstation
Access to Laguna models via OpenRouter and Vercel AI Gateway
Integrations
OpenRouter
Vercel AI Gateway

What real users say: Panes 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.

Panes

No verifiable community signal. We scanned public discussion on Jul 3, 2026 and found posts matching the name “Panes”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

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 engineering team in finance
    Pick: Poolside AI

    Needs secure, auditable AI agents for complex software development with governance and on-prem deployment.

  • Front-end developer building a cross-framework app
    Pick: Panes

    Requires lightweight modals and panes without framework lock-in; Panes provides 12KB, zero-dependency solution.

  • Indie hacker prototyping a web app
    Pick: Panes

    Free, quick to integrate, and sufficient for modal needs; Poolside AI is overkill and costs prohibitive.

  • Defense contractor with air-gapped environment
    Pick: Poolside AI

    Supports on-prem deployment with Laguna models inside security boundaries, plus workstation deployment for defense.

Frequently Asked Questions

Panes vs Poolside AI: which should you choose?

Poolside AI and Panes serve completely different needs. Poolside AI is a heavy-duty enterprise platform for deploying AI agents in high-consequence software engineering, while Panes is a free, lightweight UI library for modals and panes. Choose Poolside AI if you have enterprise budget and need secure, auditable AI for complex coding tasks; otherwise Panes is excellent for quick, cross-framework modals at zero cost.

Which tool is better for AI-powered code generation?

Poolside AI is specifically built for AI agents and foundation models for software engineering; Panes does not offer any AI features.

Can I use Panes for free?

Yes, Panes is completely free and open-source.

What is the pricing model for Poolside AI?

Enterprise contact; typical contracts are for large organizations with custom deployment and support.

Does Panes support React?

Yes, Panes works with React, Vue, Svelte, Angular, Elixir, and vanilla JS.

Can Poolside AI run offline?

Yes, it can be deployed on-prem, in VPC, or on workstation for defense, enabling air-gapped operation.

Which tool has a smaller bundle size?

Panes is 12KB minified and gzipped; Poolside AI models are large (e.g., 225B parameters) and run server-side.

Are Poolside AI models open source?

They are open-weight models released in research preview, but the full platform requires enterprise engagement.

Which tool is better for a solo developer?

Panes is free and easy to use; Poolside AI is enterprise-focused and likely too costly and complex for solo use.

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Last reviewed: July 3, 2026