Juggler

Juggler is a GUI-first AI coding harness providing a native app and server for managing AI coding agents.

Juggler is a GUI-first AI coding harness built by Julian Storer for managing AI coding agents during long development sessions. The application features a native Go backend and a type-checked JavaScript interface with no frontend compilation step, avoiding Electron entirely. Conversations are stored as Yjs CRDT documents, enabling live synchronization across local and remote clients so sessions survive quits and reconnects. Users can organize work using recursive branching threads, Miller-column navigation, and dedicated workspaces like git worktrees or scratch copies. The platform is vendor-neutral, connecting directly to providers such as Anthropic, OpenAI, GitHub Copilot, Gemini, Mistral, Ollama, OpenRouter, and DeepSeek using your own API keys or subscriptions. Every model transaction, tool argument, and MCP server handoff is fully inspectable, and extensions can be written using a public SDK.

Juggler at a glance

Best for: Software engineer
Runs on: macOS, Windows, Linux, Web
Pricing: Free
Released: September 2026
Category: AI coding tool
Website: juggler.studio

Key features

Native Go backend server
CRDT-based live conversation synchronization
Recursive branching threads
Miller-column desktop navigation
Inspectable model transactions and tool arguments
Support for Model Context Protocol (MCP) servers
Direct provider traffic with no intermediate proxy
Public extension SDK

Use it for

Managing long coding sessions with AI agents
Exploring competing coding approaches in sub-threads
Connecting local and remote MCP tools
Running several coding conversations on one project

Alternatives to Juggler

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Magpie — It enables AI agents to use models not natively supported by their internal protocols.
Liveblocks — Automatically resolves data conflicts between humans and AI agents in real time.

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