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

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

EQK

kuja.dev (Aakashdhruv Vashisht)

Freemium

Per-app macOS equalizer with on-device AI song analysis and 3,985 bundled headphone correction profiles — nothing leaves your Mac.

Per-App Patchbay Routing: Route individual music and video apps through independent equalizers so mixed browser audio never contaminates the signal chain.
AI Song Live Analysis: An on-device engine analyzes each track as it starts and reshapes tone in real time over the per-app EQ and headphone correction.
3,985 Headphone Correction Profiles: Bundled AutoEq correction curves for a wide catalog of headphones, earphones, and IEMs are read by the AI to compensate for gear response.
User Tweaks Stay On Top: Manual EQ adjustments always sit on top of AI and correction lanes, so listener taste is never overwritten.
Fully On-Device Privacy: All analysis happens locally with no signup, no cloud, and no accounts — nothing leaves the Mac.
Apple-Notarized macOS App: Distributed as a notarized native app for macOS 15.6+ with a free player tier that remains free forever.
Buy-Once License: A one-time ₹1,000 Premium purchase activates on up to two Macs and includes free updates for the EQK 1.x line.

Audiophile Listening on Mac: Music enthusiasts pair headphone correction with AI song analysis to hear a corrected, tone-matched signal on their exact gear.
Content Creator Monitoring: Editors and streamers route their DAW or video app through EQK to preview mixes against a corrected reference.
Isolating App Audio: Users tune podcasts, music, or video separately so switching apps does not mean re-EQing every time.
Privacy-Conscious Listeners: Anyone unwilling to send listening data to the cloud gets AI-driven EQ that runs entirely on device.
IEM and Headphone Reviewers: Reviewers with many pairs compare gear against consistent AutoEq baselines and their own taste tweaks.
Free Player for Casual Users: Users who want basic per-app EQ without AI keep the free player tier indefinitely.

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.