PearAI vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-10-02
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At a glance

DimensionPearAIPoolside AI
PricingFree (Freemium, with optional paid tiers for API usage)Contact sales (enterprise)
Target AudienceSolo makers, indie hackers, and small teamsEnterprises in regulated industries (finance, healthcare, defense)
Key FeatureAutomatic model routing across GPT-4o, Claude, Llama, etc.Custom foundation models (Laguna XS.2 & M.1) with 256K context, on-prem deployment
DeploymentDesktop app (macOS, Windows, Linux)On-prem, VPC, or workstation (air-gapped)
Security & GovernanceNot enterprise-grade (no on-prem, no audit)RBAC, auditability, sandboxed agents, governance
Context WindowDepends on underlying model (e.g., GPT-4o ~128K)256K tokens (Laguna models)

For regulated enterprises needing custom, auditable AI agents with on-prem deployment, Poolside AI is the clear choice. For solo makers or small teams wanting a cost-effective, all-in-one AI coding editor with automatic model routing, PearAI wins. Choose based on your scale and compliance needs.

PearAI
PearAI

Desktop AI code editor (VS Code fork) with a router that auto-selects the top-scoring coding model and an autonomous coding agent.

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Poolside AI
Poolside AI

Open-weight agentic coding models — Laguna XS 2.1 (33B) and Laguna S 2.1 (118B) — built for code that cannot leave your security boundary.

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Pricing
Freemium
Contact Sales
Plans
$0/mo
$20/mo (20-30% off forever)
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Popularity
28 views
7.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Desktop
DesktopCLIAPIWeb
Categories
💻 Code & Development🛠️ Autonomous Coding Agents
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Desktop AI code editor built as a VS Code fork for macOS, Windows, and Linux
PearAI Router auto-routes 'PearAI Model' to the highest-performing coding model
Vendor benchmark: PearAI Model 94.10 vs GPT-4o 80.53, Llama 3.1 405b 80.43, Claude 3 Opus 76.74
PearAI Agent, a coding agent powered by Roo Code/Cline (introduced v1.8.0, 2025-02-12)
Agent accesses your development environment with your permission for a code feedback loop
PearAI Chat for codebase edits with full file context and @filename tagging
Tab autocomplete for inline code suggestions
Fast Apply (powered by Relace) applies generated code blocks faster and more accurately
PearAI Memory (via Mem0) preserves context across sessions
PearAI Search (via Perplexity) for in-editor web search
PearAI Creator generates production-ready web apps from templates (Beta, 2025-05-10)
PearAI Launch will deploy web projects to Netlify (coming soon)
PearAI Login helper for adding auth to projects (coming soon)
/sensei and /leetcode slash commands guide learning instead of giving direct answers
Easy model switching across GPT-4o, Llama 3.1 405b, Claude 3 Opus, Mistral, DeepSeek
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 sized 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
VS Code and Visual Studio extensions (per Poolside blog)
macOS desktop assistant (per Poolside blog)
Model selection, tool grouping, and project management in the client
Always-ask approval mode before edits are accepted
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
Integrations
Roo Code
Cline
Mem0
Perplexity
Relace
Netlify
OpenRouter
Vercel AI Gateway

What real users say: PearAI 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.

PearAI

23 mentions across 2 sources · 45% positive — mixed (averaged across 2 sources)

Hacker News, Product Hunt

What users praise

  • • All-in-one AI coding stack with routing, agent, chat, and search.
  • • Fast apply feature (Relace) is more accurate and faster than alternatives.
  • • Auto-selects best AI model per task via PearAI Router.
  • • Supports GPT-4o, Claude 3 Opus, Llama 3.1, and other models.

What frustrates them

  • • Ethical concerns over forking Continue without proper credit.
  • • Relatively few GitHub stars compared to non-YC alternatives.
  • • macOS boot page bug persists after initial installation.
  • • Perceived as a 'vibe investment' rather than genuine innovation.

Researched Jul 3, 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

  • Solo founder building side projects
    Pick: PearAI

    Free to start, bundles multiple AI models, and doesn't require enterprise contracts.

  • Enterprise CTO at a defense contractor
    Pick: Poolside AI

    Needs air-gapped deployment, auditability, and custom models for high-consequence code.

  • Startup team of 5 scaling fast
    Pick: PearAI

    Low cost, quick setup, and all-in-one AI features (agent, chat, memory) without enterprise overhead.

  • Healthcare company with HIPAA compliance
    Pick: Poolside AI

    On-prem VPC deployment and governance features meet strict regulatory requirements.

  • Indie hacker learning a new language
    Pick: PearAI

    Automatic model routing provides contextual help without juggling multiple subscriptions.

Frequently Asked Questions

PearAI vs Poolside AI: which should you choose?

For regulated enterprises needing custom, auditable AI agents with on-prem deployment, Poolside AI is the clear choice. For solo makers or small teams wanting a cost-effective, all-in-one AI coding editor with automatic model routing, PearAI wins. Choose based on your scale and compliance needs.

Can Poolside AI run offline?

Yes, with on-prem or workstation deployment (defense-only for workstation).

Does PearAI support on-prem deployment?

No, PearAI is a desktop app that relies on third-party cloud APIs.

What models does PearAI route to?

GPT-4o, Claude 3 Opus, Meta Llama 3.1, Mistral AI, DeepSeek, and more.

How large is Poolside's context window?

Laguna XS.2 and M.1 support up to 256K tokens.

Is PearAI free?

The editor is free; you pay for API usage or use your own keys.

Which tool is better for large codebases?

Poolside AI handles large context (256K) and multi-step reasoning; PearAI depends on underlying model limits.

Does PearAI have a coding agent?

Yes, the PearAI Agent (powered by Roo Code) autonomously codes via dev environment feedback.

Can I try Poolside AI without contacting sales?

No, it requires vendor engagement for enterprise access.

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Last reviewed: July 3, 2026