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

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

Juggler

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.

Locofy.ai

Freemium

AI design-to-code tool that converts Figma and Penpot designs into production-ready React, Vue, HTML-CSS, React Native, and Flutter code.

Locofy Lightning: One-click AI conversion of Figma or Penpot designs into responsive, component-based frontend code using Large Design Models.
Multi-Framework Export: Generates code for React, Vue, Angular, Next.js, Gatsby, HTML-CSS, React Native, and Flutter.
Auto Components & Responsiveness: Automatically detects reusable components and makes layouts responsive across breakpoints.
Design Tool Integration: Works as a plugin inside Figma and Penpot to convert designs without leaving the canvas.
Agentic Dev Handoff: Acts as a frontend layer between design files and AI code editors like Cursor and Claude.
Code Sync & Export: Pushes generated code to a repository or dev environment so design and code stay in sync.

Rapid Prototyping: Convert a Figma mockup into a working frontend prototype in minutes instead of hand-coding it.
Design-to-Dev Handoff: Hand developers clean, structured code generated directly from designer files.
Frontend Acceleration: Cut UI coding time significantly when building React or React Native interfaces.
Cross-Platform Builds: Generate both web and mobile UI code from a single design source.
Legacy Workflow Modernization: Bridge existing Figma libraries into modern component-based codebases.