Effects SDK vs Juggler: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Effects SDK and Juggler — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Effects SDK
Damiko
Cross-platform SDK that adds real-time AI video effects — background blur, replacement, auto-framing, denoise, and beautification.
Key features
- Virtual Background: Blur or replace the webcam background in real time with a custom image or video, with runtime-configurable blur strength.
- Intelligent Camera Framing: Automatically tracks the speaker's face and motion, then digitally zooms and re-frames to keep them centered.
- Skin Smoothness & Beautification: Real-time face beautification that softens skin, removes acne and eye bags, and adds gentle lighting softness.
- AI Color Grading: Automatic exposure, contrast, saturation and temperature adjustments to give calls a cinematic look.
- AI Denoise: Removes digital noise from grainy webcam feeds in low-light environments for clearer video.
- Cross-platform SDK: One API works on Web/WebRTC, Windows, macOS, iOS, Android and Linux with GPU acceleration via DirectX, OpenGL, Metal, OpenVINO, WinML and CoreML.
- ML Model Encryption: Optional add-on that encrypts the ML models bundled with the SDK to protect proprietary weights.
- Session-based licensing: Pay-as-you-go plans track sessions automatically and can be flexed per platform and per enabled effect.
Best for
- Video-conferencing apps: Ship Zoom-style background effects and touch-up without training your own vision models.
- Telehealth platforms: Provide clinicians and patients with clean backgrounds and beautification in low-light home settings.
- Streaming and virtual webcam tools: Add professional-grade auto-framing and cinematic color grading to creator workflows.
- Education platforms: Give teachers and students a consistent, professional on-camera look across web and mobile.
- Presentation and meeting SaaS: Integrate real-time enhancement so hosts look camera-ready without extra hardware.
Juggler
Julian Storer
A native desktop workbench for AI coding agents with branching conversation trees, inspectable tool calls and editable context.
Key features
- 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.
Best for
- 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.
