AgentLoop vs Comet Browser: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AgentLoop and Comet Browser — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AgentLoop
Edward Yi
AgentLoop turns a single ChatGPT plan into unattended Codex worker + independent-critic cycles that build against your local rubric until the work passes.
Key features
- Fresh Worker Per Cycle: Each build cycle spawns a clean Codex worker with fresh context so long-running loops do not accumulate stale state or memory drift.
- Independent Critic Process: A separate fresh process grades every result against your rubric so passing tests never become permission to stop looking.
- Rubric in GUIDELINES.md: Definition-of-done lives as plain Markdown in your repo and is read on every cycle, so standards persist while prompts do not.
- Evidence Carried in Files: Worker output, critic verdicts, and fixes are written to project files so the next cycle inherits the actual state of the work.
- Bounded Goal + Cycle Budget: You cap the loop with a goal.md and cycle budget so unattended runs stop at a predictable ceiling.
- MCP Status Interface: Ask ChatGPT for status through MCP so you can monitor cycles, verdicts, transcripts, and cost without opening the dashboard.
- Local-first Install: git clone the pinned v1.1.0 release and run node src/daemon.js — no npm install, no hosted workspace, MIT licensed.
Best for
- Shipping a bounded feature: Add a CSV export across UI, API, and regression suite while the critic enforces end-to-end behavior and edge cases.
- Migration work: Run an unattended migration where fresh workers apply the change and the critic verifies each step against a rubric.
- Hardening pass: Give AgentLoop a hardening goal so it iterates on defects the existing test suite misses, like malformed input handling.
- Product polish loop: Point AgentLoop at a polish goal with clear acceptance criteria and let it converge to VERDICT: PASS.
- Unattended overnight runs: Kick off a long loop, monitor cycle verdicts, and cancel from the dashboard or via MCP when the receipt looks right.
- Enforcing team standards: Codify team engineering standards in GUIDELINES.md so every worker builds against the same definition of done.
Comet Browser
Perplexity
An AI-powered, Chromium-compatible web browser from Perplexity focused on agentic search, privacy controls, and a Windows-11-oriented UI.
Key features
- Agentic Search Integration: Integrates Perplexity's agentic search approach to surface AI-driven search results and streamline query workflows within the browser interface.
- Chromium Compatibility: Built to be Chromium-compatible so existing Chrome extensions and web features can work or be adapted for Comet (though specific extension support has had compatibility discussions).
- Privacy and Tracker Controls: Emphasizes privacy features and controls intended to limit tracking and improve private browsing experience, a core element raised by users and extension developers.
- Windows-11-Focused UI: Community and experimental builds (including Electron-based iterations) prioritize a modern UI and UX tailored for Windows 11 aesthetics and workflows.
- Developer & Community Builds: Early releases and community repositories provide pre-release downloads and source builds; developers can run or experiment with local Electron/Node-based builds.
- Extension Compatibility Diagnostics: Public issues and discussions (e.g., AdGuard) show active testing and diagnostics around how ad-blockers and other extensions install and function under Comet's environment.
- Chromium-compatible browser core (Perplexity Comet)
- AI/agentic search integration (Perplexity)
- Windows 11–styled UI/UX focus
- Electron-based prototype with webview and tab support
- Developer-run-from-source workflow (Git, Node, npm)
- Tab overhaul and UI icon assets in prototype
- Early-stage project with active commits and experimental features
- Extension ecosystem is Chromium-like but may require compatibility steps (Manifest V3)
Best for
- AI-driven research workflows where users want agentic search results and follow-up queries without switching between separate apps or tabs.
- Privacy-conscious browsing where users rely on built-in tracker and ad controls to reduce profiling while searching and visiting sites.
- Extension testing and adaptation by extension developers (AdGuard and others) who need to ensure compatibility with a Chromium-compatible but distinct browser build.
- Windows 11 users seeking a browser with a modern, native-feeling UI/UX tailored to the OS aesthetic and interaction patterns.
- Early adopters and developers who want to run pre-release or source builds (Electron/Node) to test features, contribute, or prototype integrations.
- Research and productivity sessions that combine standard web browsing with AI search capabilities to accelerate information discovery.
- Using an AI/agentic search-enabled browser for conversational or context-aware web search
- Privacy-focused browsing within a Chromium-compatible shell
- UI/UX experimentation and prototyping (Electron-based desktop browser shell)
- Testing and adapting browser extensions for a new Chromium-based browser (Manifest V3 compatibility)
- Developer/local builds for testing features: clone repo, npm install, npm run dev