agterm vs Poolside AI

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

Live tool data as of 2026-07-17
Reviewed by our team on
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At a glance

DimensionagtermPoolside AI
Pricingfree · from Free $0contact
Best forDevelopers running multiple AI coding agents (e.g., Claude, Copilot) simultaneously, Engineers managing concurrent agent-driven sessions across different projectsHigh-consequence software development in finance, healthcare, defense, Enterprises needing AI agents for long-horizon planning and multi-step tasks
Standout featuresNamed workspaces for organizing sessions by project · Multiple concurrent sessions per workspace · Session state persistence across restartsLaguna XS 2.1 model (33B params, 3B active, on-device) · Laguna M.1 model (225B params, 23B active, via API) · 256K context length for multi-step reasoning
Viability score87/10093/100
APINoYes

agterm is the stronger pick for developers running multiple ai coding agents (e.g., claude, copilot) simultaneously; Poolside AI fits better for high-consequence software development in finance, healthcare, defense.

Built from live tool data, last verified 2026-07-17.

agterm
agterm

Native macOS terminal for managing multiple AI coding agent sessions in named workspaces.

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Poolside AI
Poolside AI

Enterprise open-weight foundation models and agents for high-consequence software engineering.

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Pricing
Free
Contact Sales
Plans
$0
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Popularity
1 views
7.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Desktop
APICLIDesktopWeb
Categories
💻 Code & Development
💻 Code & Development🤖 Automation & Agents
Features
Named workspaces for organizing sessions by project
Multiple concurrent sessions per workspace
Session state persistence across restarts
Keyboard-driven navigation and session switching
Attention list with active/blocked/completed status indicators
Split sessions into two shells side by side
Scratch terminal overlay for quick commands
Floating overlay for running programs without disturbing shell
Control API and CLI (agtermctl) over local socket
Installable agent skill for Claude Code and Codex to build layouts
Agent status hooks for Claude Code, Codex, and others reporting state
Embedded Ghostty engine (libghostty) for rendering and VT parsing
macOS native performance and integration (Apple Silicon, macOS 14+)
Open source with community contributions on GitHub
Session logging and history
Laguna XS 2.1 model (33B params, 3B active, on-device)
Laguna M.1 model (225B params, 23B active, via API)
256K context length for multi-step reasoning
Multi-agent orchestration with planning and tool use
Sandboxed agent execution environments
Developer surfaces: agents, TUI, IDE extensions, binaries
Custom foundation models deployed on-prem or in VPC
Data connectors to repos, databases, data warehouses
Role-based access control for humans and agents
Executive-grade governance and auditability
On-prem, VPC, and workstation deployment (defense only)
Forward Deployed Research Engineers embed with teams
Real-time observability with end-to-end traces
Air-gapped network support
Open-weight model weights available

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

Which is better, agterm or Poolside AI?

The best choice between agterm and Poolside AI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between agterm and Poolside AI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of agterm or Poolside AI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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Explore each tool further

agterm
View agterm reviewagterm alternatives
Poolside AI
View Poolside AI reviewPoolside AI alternatives

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