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About Juggler

Juggler is a visual workbench designed for AI coding agents, enabling users to see and control agent activity either locally or remotely. It provides a desktop application that can launch a local server or connect to a headless server running on a dev box or server. Conversations are structured as persistent trees rather than linear logs, allowing for branching at any point and recursive sub-threads. Each tool call, model transaction, and context item can be inspected in detail, including system prompts, messages, tool definitions, outputs, token usage, and timing. The tool supports multiple LLM providers such as Claude Code, OpenAI Codex, GitHub Copilot, Gemini, Ollama, and others through a unified interface. Sessions are stored on disk and survive app restarts or connection losses, with the agent retaining state until the next approval. The interface uses a Finder-style Miller column view for navigation and includes focused panels for tool calls and context management. Juggler is built as a native desktop app with a Go backend and type-checked JavaScript frontend, avoiding Electron.

Key features

  • Miller-column navigation for conversations
  • Inspectable model transactions with system prompts and outputs
  • Persistent sessions stored on disk
  • Multi-client synchronization across desktop and browser
  • Extension SDK for custom tools and UI components
  • Support for MCP servers with full schema and argument inspection
  • Context management with folding, moving, and undoing structural changes
  • Native Go backend with type-checked JavaScript frontend

Use cases

  • Long coding sessions with structured agent interactions
  • Remote development with headless server deployment
  • Collaborative debugging with shared session views

Pros

  • Persistent tree-based conversation structure with branching and sub-threads
  • Supports multiple LLM providers through a single interface
  • Detailed inspection of model transactions, tool calls, and context items
  • Sessions survive app restarts and reconnects with agent state preserved
  • Native desktop app with Go backend, avoiding Electron

Cons

  • No terminal required for basic use, but headless server setup may require command-line interaction
  • Core is open source but AGPLv3 licensed, which may limit commercial use without compliance

Frequently asked questions about Juggler

What is Juggler and what does it do?

Juggler is a visual workbench for AI coding agents that allows users to see, control, and inspect agent activity either locally or remotely. It provides a desktop application or a headless server to manage coding sessions, with conversations structured as persistent trees for branching and recursive sub-threads.

Who is Juggler designed for?

Juggler is designed for developers and teams who work with AI coding agents and need a structured, inspectable interface for managing long sessions, tool calls, and context. It suits users who require detailed visibility into model transactions, tool outputs, and system prompts.

How does Juggler handle session persistence and multi-client access?

Sessions in Juggler are stored on disk and survive app restarts or connection losses, with the agent retaining state until the next approval. Multiple clients, including desktop and browser views, can connect to the same live session and stay in sync.

What LLM providers does Juggler support?

Juggler supports multiple LLM providers through a unified interface, including Claude Code, OpenAI Codex, GitHub Copilot, Gemini, Mistral, Ollama, OpenRouter, DeepSeek, and other OpenAI-compatible providers. Users can bring their own API keys or existing subscriptions.

Can Juggler be used for remote sessions?

Yes, Juggler can run as a headless server on a dev box or server, allowing users to connect to the same session from a browser or the desktop app, even across a network or the internet.

Is Juggler free to use, and does it require an account?

Juggler is free to download and open source, with no Juggler account required. The application and its extensions are distributed under AGPLv3 and Apache-2.0 licenses, respectively.

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