agterm vs Cognition AI

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

Live tool data as of 2026-07-17
Reviewed by our team on
Saved

At a glance

DimensionagtermCognition AI
Pricingfree · from Free $0freemium · from Free $0/mo
Best forDevelopers running multiple AI coding agents (e.g., Claude, Copilot) simultaneously, Engineers managing concurrent agent-driven sessions across different projectsEnterprise engineering teams with large production codebases, Teams needing automated bug triage and incident response
Standout featuresNamed workspaces for organizing sessions by project · Multiple concurrent sessions per workspace · Session state persistence across restartsAutonomous planning, coding, and PR creation · FrontierCode evaluation for merge-worthiness · Auto-Triage: automated bug monitoring and fix PRs
Viability score87/10095/100
APINoYes

agterm is the stronger pick for developers running multiple ai coding agents (e.g., claude, copilot) simultaneously; Cognition AI fits better for enterprise engineering teams with large production codebases.

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.

Visit Website
Cognition AI
Cognition AI

Autonomous AI software engineer for enterprise production code deployment.

Visit Website
Pricing
Free
Freemium
Plans
$0
$0/mo
$20/mo
$100/mo
Custom
Popularity
1 views
7.3k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
Desktop
WebDesktopCLI
Categories
💻 Code & Development
💻 Code & Development
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
Autonomous planning, coding, and PR creation
FrontierCode evaluation for merge-worthiness
Auto-Triage: automated bug monitoring and fix PRs
Native Windows VM support for building and testing
Android emulator integration for mobile testing
Devin Desktop: Windsurf IDE + Devin Cloud + Agent Command Center
Devin Security Swarm: vulnerability find and fix
Devin Fusion: hybrid-model cost savings
Session persistence across runs for long tasks
Multi-step engineering task execution end-to-end
Auto-fixes for review comments in PRs
Integration with GitHub, Slack, Jira, Linear, Datadog
Human-equivalent hour productivity measurement
$10M AI Productivity Guarantee for enterprises
Support for large, complex codebases
Integrations
GitHub
Slack
Windsurf IDE
Android Emulator
Windows VM
VS Code
Jira
Linear
Datadog

Who should pick which

  • Enterprise engineering lead
    Pick: Cognition AI

    Devin's autonomous bug triage, PR creation, and legacy modernization (COBOL) address large codebase challenges, with integrations for Jira, Slack, and GitHub.

  • Solo developer on macOS
    Pick: agterm

    Agterm is free, open source, and helps organize multiple AI agent sessions per project, perfect for a developer managing several agents independently.

  • Cross-platform development team
    Pick: Cognition AI

    Devin supports native Windows VM and Android emulator integration, essential for teams building and testing on Windows and Android alongside other platforms.

  • Open source contributor
    Pick: agterm

    Agterm is open source and welcomes community contributions, ideal for developers who want to customize or extend a macOS-native terminal for AI workflows.

  • Enterprise with legacy code
    Pick: Cognition AI

    Devin's COBOL modernization capability is a unique feature for enterprises migrating legacy systems, backed by a productivity guarantee.

Frequently Asked Questions

Which is better, agterm or Cognition AI?

The best choice between agterm and Cognition 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 Cognition 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 Cognition AI?

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

More agterm or Cognition AI comparisons

recall vs Cognition AI comparison

Recall and Cognition AI solve opposite ends of the AI-assisted development spectrum. Recall is a cost-free, offline memory plugin for Claude Code that helps solo developers or small teams maintain con

fanbox vs Cognition AI comparison

Cognition AI is for enterprise teams that need an autonomous AI engineer handling complex, multi-step tasks across large codebases, with a $10M productivity guarantee. Fanbox is for solo developers on

Windows-Copilot-API vs Cognition AI comparison

Choose Cognition AI if you are an enterprise team needing an autonomous AI software engineer that independently plans, codes, tests, and ships production code with enterprise-grade integrations and a

guard-skills vs Cognition AI comparison

Choose Cognition AI (Devin) if you're an enterprise team needing an autonomous engineer that can handle multi-step tasks like bug triage, legacy modernization, and cross-platform builds—backed by a fi

value-for-fable vs Cognition AI comparison

Value-for-Fable is a strict cost-optimization play for teams already using Claude Sonnet: it sacrifices turnkey polish for 70% cost savings and Opus-like quality via structured prompting. Cognition AI

testsprite-cli vs Cognition AI comparison

Choose Cognition AI (Devin) if you need an autonomous software engineer that handles the full dev cycle—planning, coding, testing, and shipping—and your enterprise demands legacy modernization, native

Explore each tool further

agterm
View agterm reviewagterm alternatives
Cognition AI
View Cognition AI reviewCognition AI alternatives

Browse these categories

Best AI Code & Development tools
Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.