Backgrind vs Juggler: Features, Pricing & Which Is Better (2026)

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

Backgrind

Freemium

Always-on-top desktop overlay for macOS and Windows that runs your AI coding agent and pings you only when it needs approval or input.

Always-On-Top Overlay: Floats your coding agent over any app, editor, browser or fullscreen game so it stays in view.
Bring Your Own Agent: Works as a thin frontend over Claude Code, Cursor or a Backgrind-hosted model using your existing login and history.
Attention-Only Alerts: Stays quiet while the agent works and flashes or chimes only when it needs approval or input.
Inline Approvals: Surfaces command-run and dependency-install requests so you can approve or reject them in place.
Customizable Window: Drag, stretch, recolor and fade the floating window to fit your workspace.
Cross-Platform: Available for both macOS and Windows.

Background Coding: Kick off a refactor or build and keep working elsewhere until the agent needs you.
Supervising Multiple Agents: Keep several agent sessions visible in floating windows at once.
Vibe Coding: Let casual builders run an agent without learning a full IDE workflow.
Long-Running Tasks: Monitor test runs and multi-step builds without staring at a terminal.
Approval Gating: Review and authorize potentially risky commands before they execute.

Julian Storer

Free

A native desktop workbench for AI coding agents with branching conversation trees, inspectable tool calls and editable context.

Branching Conversation Trees: Fork the session at any point, recursively, so competing approaches and tangents run side by side without polluting the main context.
Miller Column Navigation: A Finder-style column layout lays out tool calls, item properties and nested sub-threads for long reading and editing sessions.
Transaction Inspector: Open any model transaction to see the assembled system prompt, messages, tool definitions, output, token use, timing and stop reason.
The Context Surgeon: Fold history into a new thread, move or copy items between branches, expand a branch back into its parent, and undo structural changes.
Local or Remote Sessions: Run the desktop app locally or the headless binary on the machine holding the code, then attach from the app, a browser or a phone.
Durable Sessions: Sessions are stored on disk as live-synced Yjs documents, so quits, relaunches and dropped connections do not lose the conversation.
Automatic Context Sizing: Juggler measures the full request before each call, reserves room for the answer and compacts older history before limits become an error.
Inspectable MCP Tools: Follow an MCP handoff end to end - schema offered, arguments generated, approval, result and errors - with server status, logs and per-tool filtering.
JavaScript Extension SDK: Context items, LLM loop strategies, slash commands, viewers and Pinboard tabs are extensions you can fork or replace, under a permissive Apache-2.0 SDK.

Exploring Competing Fixes: Branch a thread into two sub-threads to try different approaches to the same bug and compare results before committing.
Auditing Agent Behavior: Inspect exactly what the model received and returned when an agent makes a surprising edit to the codebase.
Remote Development: Run the server on a dev box or GPU machine where the repository lives and drive the same live session from a laptop or browser.
Long Refactors: Keep a multi-hour session alive across quits and reconnects, with the agent paused awaiting approval for its next step.
Provider Comparison: Drive Claude Code, Codex, Copilot, Gemini and local Ollama models through one interface to compare behavior on the same task.
Custom Tooling: Write JavaScript extensions that add slash commands, file viewers or new LLM loop strategies to the workbench.