Pane vs Poolside AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Pane | Poolside AI |
|---|---|---|
| Pricing | Free (AGPL-3.0) | Contact sales (enterprise) |
| Target User | Developers & CLI power users | Large enterprise teams in regulated industries |
| Deployment | Desktop app (Windows, macOS, Linux), self-hosted | On-prem, VPC, workstation (defense), cloud |
| Agent Support | Any CLI agent (Claude Code, Codex, Aider, OpenCode, Goose) | Laguna models with multi-agent orchestration |
| Key Feature | Auto git worktrees, parallel panes, cross-terminal context | 1M context, governance, sandboxed execution |
| Open Source | Yes (AGPL-3.0) | Open-weight models, but platform is proprietary |
For individual devs wanting a free, keyboard-driven agent manager that runs multiple CLI agents in parallel, Pane is unbeatable. For enterprises in finance, healthcare, or defense needing custom, auditable AI agents with long-context reasoning and on-prem deployment, Poolside AI is the clear choice. Your pick depends on budget, compliance needs, and whether you want to manage agents or have them managed for you.
Free, open-source desktop app that runs multiple AI coding agents in parallel git worktrees.
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What real users say: Pane 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.
Pane
120 mentions across 7 sources · 0% positive — critical
Hacker News, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy
What users praise
- • Cross-platform support: Windows ARM64, macOS, and Linux desktop app.
- • Agent-agnostic design works with Claude Code, Codex, Aider, OpenCode.
- • Automated git worktree management eliminates manual branching overhead.
- • Remote Pane via SSH enables control from phone or any device.
What frustrates them
- • No real user feedback available to validate any claimed benefits.
- • Name is too generic, causing search noise and brand confusion.
- • Existing terminal multiplexers (tmux) may already meet user needs.
- • Lack of community support forums or active issue tracker presence.
Researched Jul 6, 2026
Poolside AI
40 mentions across 4 sources · 48% positive — mixed
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
Feature-by-feature
Pane is a terminal-first desktop app that lets you run multiple CLI agents (Claude Code, Codex, Aider, OpenCode, Goose) side by side, each in its own isolated git worktree. It automates worktree lifecycle, offers a vertical sidebar, split panes, an in-app browser, cross-terminal context via '@', and secrets sync—all free and open-source under AGPL-3.0. Latest v2.4.35 adds high-contrast mode and improved slash-command delivery, while v2.4.29 fixes duplicate terminal redraws. Poolside AI, by contrast, provides open-weight foundation models (Laguna family) and the Poolside Platform for production-grade agents. The Laguna S 2.1 model (118B params, 8B active) now boasts 1M context for long-horizon reasoning, and the XS.2 and M.1 models reach 256K context (as of May 2026). Its platform includes multi-agent orchestration, sandboxed execution, IDE extensions, a terminal UI, data connectors, and role-based access control with full auditability—deployable on-prem, in VPC, or on workstation. Pane focuses on running existing agents efficiently, while Poolside builds its own agentic models and enforces enterprise governance. Pane integrates with any CLI agent; Poolside integrates via OpenRouter and Vercel AI Gateway. Poolside's latest news (July 2026) highlights Laguna S 2.1 improvements in longer-horizon tasks, while Pane's updates focus on UI fixes and CLI reliability.
Pricing compared
Pane is completely free under the AGPL-3.0 open-source license. There are no paid tiers; the desktop binary works on Windows (x64+ARM64), macOS, and Linux. The company plans to monetize optional cloud services later, but the core app remains free forever. Poolside AI uses a contact-sales pricing model typical for enterprise software. There are no public price points; deployment likely involves custom contracts based on usage, model access, and support. For individual developers or small teams, Poolside's costs are prohibitive, whereas Pane is a zero-cost entry. For large enterprises with compliance needs, Poolside's price is justified by its custom models, governance, and on-prem options. Poolside also offers an open-weight model that can be self-hosted, but the platform's full capabilities require a paid agreement.
Who should pick which
- Solo developer running multiple AI coding agentsPick: Pane
Pane lets you run Claude Code, Codex, Aider, and others side-by-side in isolated worktrees, all for free. Perfect for experimenting with different agents on various branches.
- Enterprise team in finance needing auditable AI agentsPick: Poolside AI
Poolside provides custom Laguna models with 1M context, on-prem deployment, and role-based access control—meeting strict compliance and security requirements.
- Open-source enthusiast wanting a self-hosted agent managerPick: Pane
Pane is fully open-source (AGPL-3.0) and runs on any major OS. You can audit the code, contribute, and use it without vendor lock-in.
- Dev team needing long-horizon reasoning with large codebasesPick: Poolside AI
Laguna S 2.1's 1M context window and multi-agent orchestration can handle complex, multi-step software engineering tasks that exceed typical context limits.
- Mac user wanting a simple agent managerPick: Pane
Pane runs on macOS and offers a simple keyboard-driven interface. Its v2.4.35 update improves contrast, making it comfortable for long sessions.
Frequently Asked Questions
Pane vs Poolside AI: which should you choose?
For individual devs wanting a free, keyboard-driven agent manager that runs multiple CLI agents in parallel, Pane is unbeatable. For enterprises in finance, healthcare, or defense needing custom, auditable AI agents with long-context reasoning and on-prem deployment, Poolside AI is the clear choice. Your pick depends on budget, compliance needs, and whether you want to manage agents or have them managed for you.
Can I use Pane without knowing git commands?
Yes, Pane automates git worktree creation and cleanup, so you don't need to type git commands. However, basic CLI familiarity is assumed.
Does Poolside AI offer a free tier or trial?
No, Poolside AI is enterprise-only with contact-based pricing. There is no self-serve sign-up or free tier available.
Can I run Poolside AI's models on my own hardware?
Yes, Poolside offers open-weight models (Laguna XS, S, M) that can be self-hosted. The platform adds governance and orchestration, but models alone can be used independently.
Does Pane support voice commands or chat?
Pane includes 'Pane Chat' as an orchestrator terminal to coordinate across agents, but it's text-based. Voice is not mentioned.
What integrations does Poolside AI support?
Poolside integrates with OpenRouter and Vercel AI Gateway for model access. It also provides IDE extensions and a terminal UI for developer surfaces.
Is Pane suitable for non-developers?
No, Pane is terminal-first and designed for developers comfortable with CLI tools. Non-developers may find the interface challenging.
How does Poolside AI ensure safety in agent execution?
Poolside uses sandboxed agent execution environments and role-based access control, along with executive-grade governance and auditability to ensure safe, compliant operations.
Can I use Pane with agents that require a GUI?
Pane is terminal-first, but it includes an in-app browser and split panes. Agents that rely on graphical UIs may not work optimally.
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Last reviewed: July 30, 2026