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AgentPeek vs sizeless: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of AgentPeek and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

AgentPeek logo

AgentPeek

Tran Huu Hoang

Paid

Mac menu-bar app that puts Claude Code and Codex into the Mac notch to watch sessions, answer prompts, track tokens, and manage local dev servers.

Key features

  • Notch & Menu-bar Integration: Embeds live Claude Code and Codex sessions into the Mac notch and menu bar for immediate, always-available access without switching windows.
  • Live Session Viewer: Displays real-time agent activity and conversation streams so users can watch multi-agent interactions as they occur and inspect agent behavior.
  • Interactive Prompt Handling: Surfaces permission prompts and allows users to answer, approve, or modify prompts directly from the menu-bar interface to control agent inputs.
  • Token Usage Tracking: Monitors and reports token consumption per session or agent, helping developers manage costs and debug token-related issues.
  • Local Dev Server Management: Provides controls to start, stop, and monitor local development servers tied to agent workflows, streamlining local testing and iteration.
  • Local-first Privacy Model: Designed to run locally on the user’s Mac to minimize external data exposure and give users control over where agent data is processed.
  • Release Log & Versioning: Public release log (changelog) with incremental releases (0.1.x series) so users can track features, fixes, and updates over time.
  • Multi-agent Visualization: Integrates with multi-agent setups (per GitHub repo) to visualize interactions across agents for debugging and analysis.
  • Embed Claude Code and Codex sessions in the Mac notch and menu bar
  • Live session replay and real-time visualization
  • Permission prompts and response handling
  • Token usage tracking and metrics
  • Manage and monitor local development servers
  • Local-first storage: session data stays on device
  • Live visualization of Claude Code and Codex agent sessions in the Mac notch and menu bar
  • Interactive permission prompts allowing users to answer agent prompts from the menu bar
  • Token usage tracking and reporting for monitored agent sessions
  • Management and monitoring of local development servers associated with agents
  • Real-time dashboard for multi-agent orchestration and activity inspection
  • Local-first architecture (runs on user's Mac rather than cloud-hosted by default)
  • Distributed via a one-time license purchase

Best for

  • Observing Multi-Agent Workflows: Watch real-time exchanges between agents to debug coordination issues or verify agent decision paths without opening developer consoles.
  • Rapid Prompt Approval: Approve, modify, or answer permission prompts from the menu bar to speed up interactive sessions with Claude Code or Codex during development.
  • Token Cost Monitoring: Track token usage during experiments to identify costly prompts or optimize prompt engineering for lower consumption.
  • Local Development Management: Start and manage local dev servers used by agents directly from the app, simplifying local testing and iteration cycles.
  • Desktop AI Command Center: Keep an always-on control surface for AI coding assistants (Claude Code, Codex) accessible from the Mac notch for quick coding help.
  • Agent Behavior Auditing: Capture and inspect live session logs to audit agent outputs, confirm compliance with expected behavior, or reproduce bugs.
  • Monitor and debug multi-agent interactions during local development
  • Quickly view and respond to agent prompts from the Mac menu bar/notch
  • Track token usage and costs while iterating on agents
  • Run and control local dev servers for agent workflows
  • Provide lightweight agent observability during demos or testing
  • Monitor and debug multi-agent workflows spawned by Claude Code or Codex in real time
  • Track and audit token consumption during agent runs for cost and performance analysis
  • Answer permission or confirmation prompts quickly from the menu bar without switching windows
  • Manage local development servers used by agent systems during development and testing
  • Provide a lightweight dashboard for agent orchestration and visibility on macOS
View AgentPeek details
sizeless logo

sizeless

sizeless

Paid

Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.

Key features

  • Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
  • Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
  • Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
  • 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
  • Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
  • Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
  • Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
  • Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches

Best for

  • A utility network operator documenting residential service connections without booking a surveyor for every site
  • A contractor closing a trench the same day instead of leaving it open pending a survey appointment
  • Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
  • A district heating project producing as-built DWG plans for regulatory sign-off
  • Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
  • Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning
View sizeless details