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

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

Capacity

Freemium

AI no-code app builder that turns a plain-English idea into a live web app with logins, payments, and a shareable URL.

Conversational app spec: Capacity asks clarifying questions about your idea before it starts building instead of guessing your intent.
Full production stack: generated apps include member accounts, logins, saved data, and payments — real product features, not demo scaffolding.
One-click deploy: publish your app to a shareable URL the same day, with custom domains available in minutes.
AI co-founder support: describe any bug or change in natural language and the agent explains, fixes, and iterates on the app for you.
Codebase export: on Growth and above you can export the full underlying codebase so a developer can take it over anytime.
Multi-device design: responsive UI for phones, tablets, and desktop comes standard, with style controlled by plain-English direction.
Credit-based billing: credits are consumed only when the AI is actively building or editing, and never expire.
macOS desktop app: dedicated Mac client for local building without a credit card required.

Non-technical founder validates an MVP idea by describing it and shipping a working prototype the same day.
Solopreneur builds a paid membership app with logins, saved profiles, and Stripe-style payments without hiring a developer.
Small business owner spins up an internal tool or client portal with a custom domain in minutes.
Product manager prototypes a v0 of a new feature and iterates by conversation before handing an exported codebase to engineers.
Creator ships a niche landing page or micro-app around a specific audience using only plain-English direction.
Team standardizes multiple internal apps under one workspace and manages usage with credit budgets.

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.