agterm vs Poolside AI

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

Analysis reviewed Live tool data as of 2026-09-15
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At a glance

DimensionagtermPoolside AI
PricingFree (open source)Contact sales (enterprise)
Target userIndividual developers managing multiple AI coding agentsLarge enterprises in regulated industries (finance, healthcare, defense)
DeploymentmacOS local onlyOn-prem, VPC, workstation (defense only); cloud API
Key modelsN/A (terminal for existing agents)Laguna XS.2 (33B params, 3B active) and M.1 (225B params, 23B active)
Context lengthN/A256K tokens
Open sourceFully open sourceOpen-weight models, but platform is proprietary

Choose Poolside AI if you need enterprise-grade, secure AI agents for complex software engineering in regulated industries — it offers custom models, on-prem deployment, and full governance. Choose agterm if you are a macOS developer who wants a free, keyboard-driven terminal to manage multiple AI coding agent sessions efficiently. They solve completely different problems.

agterm
agterm

Free open-source macOS terminal with a full control API for scripting AI agents.

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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
5 views
7.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Desktop
DesktopCLIAPIWeb
Categories
💻 Code & Development
💻 Code & Development🛠️ Autonomous Coding Agents⚛️ Foundation Models & LLM APIs🛡️ AI Governance & Guardrails
Features
Named workspaces for session grouping
Attention list with active/blocked/completed status
Agent status hooks for Claude Code, Codex, Pi, OpenCode
Installable agent skill for Claude Code and Codex
Control API and agtermctl CLI over local socket
Split sessions side-by-side or top/bottom
Scratch terminal overlay for quick commands
Floating overlay for running programs
Session state persistence across restarts
Keyboard-driven navigation and session switching
Embedded Ghostty engine (libghostty) for rendering
Dashboard view of multiple sessions' live output
Fuzzy session palette by name or recency
Keymap editor for custom keybindings
Shared scratch overlay via quick terminal
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: agterm 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.

agterm

25 mentions across 3 sources · 17% positive — critical (averaged across 3 sources)

YouTube, GitHub, Lemmy

What users praise

  • Native macOS performance using Ghostty engine for rendering.
  • Workspace-first design groups sessions by project context.
  • Scriptable via Control API and CLI for custom automation.
  • Agent status indicators (active/blocked/completed) reduce cognitive load.

What frustrates them

  • Zero presence on major developer forums like Reddit or HN.
  • macOS only—no Linux or Windows support at all.
  • Requires Apple Silicon; Intel Macs may be excluded.
  • No user testimonials or real-world usage reports.

Researched Jul 5, 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

  • Large enterprise in finance
    Pick: Poolside AI

    Requires on-prem deployment, role-based access, auditability, and custom models — all provided by Poolside AI.

  • macOS developer using multiple AI agents
    Pick: agterm

    Free, open-source terminal designed to manage concurrent agent sessions in named workspaces with keyboard-driven navigation.

  • Defense contractor
    Pick: Poolside AI

    Workstation deployment (defense only) and air-gapped operation are supported; Forward Deployed Engineers assist with integration.

  • Open source contributor
    Pick: agterm

    agterm is open source and welcomes community contributions; Poolside AI is proprietary.

  • Individual developer without budget
    Pick: agterm

    Free and immediate to use; no vendor engagement needed.

Frequently Asked Questions

agterm vs Poolside AI: which should you choose?

Choose Poolside AI if you need enterprise-grade, secure AI agents for complex software engineering in regulated industries — it offers custom models, on-prem deployment, and full governance. Choose agterm if you are a macOS developer who wants a free, keyboard-driven terminal to manage multiple AI coding agent sessions efficiently. They solve completely different problems.

Can agterm run on Linux or Windows?

No, agterm is macOS only.

Does Poolside AI offer a free trial?

No, it requires contacting sales for an enterprise engagement.

Are Poolside AI's models open source?

The Laguna model weights are open-weight, but the platform (agents, orchestration, governance) is proprietary.

Can agterm work with any AI coding agent?

Yes, it's a general-purpose terminal that can run any command-line agent like Claude, Copilot, etc.

What models does Poolside AI currently offer?

Laguna XS.2 (33B params, 3B active, on-device) and Laguna M.1 (225B params, 23B active, via API), both with 256K context.

Does Poolside AI deploy on-prem?

Yes, on-prem, VPC, and workstation (defense only) deployment are supported.

Is agterm free?

Yes, it's free and open source.

Which tool is better for a solo developer?

agterm, because it is free and immediately usable. Poolside AI is enterprise-focused and requires a sales process.

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Last reviewed: July 3, 2026