@CryptoTied: Guys! An AI coding agent emphasizing visual control has arrived. Juggler is an AI coding agent focused on "controllable, visual" interaction, with the core goal of giving developers true control over the LLM's interaction with the codebase, rather than black-box operation. It offers a native desktop app + Mi...

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Summary

Juggler is an AI coding agent that emphasizes visualization and controllability. It provides a native desktop app, session tree structure, plugin architecture, and supports multiple models like Claude, OpenAI, Gemini, etc., allowing developers to clearly view and edit every step of the LLM's actions.

Guys! An AI coding agent emphasizing visual control has arrived. Juggler is an AI coding agent focused on "controllable, visual" interaction. Its core goal is to give developers true control over the LLM's interaction with the codebase, rather than black-box operation. It offers a native desktop app + Miller column navigation, supports a session tree structure (branchable and editable), and allows all tool calls, contexts, and strategies to be visually inspected and modified. It also adopts a plugin architecture, allowing developers to customize slash commands, LLM strategies, and UI. Core Value: → Sessions are not linear chats, but branchable, traceable tree structures → Provides a graphical interface to clearly see every step of the AI's tool calls and decision-making process → Supports multi-client collaboration (desktop + browser + remote) and is compatible with various models such as Claude, OpenAI, Gemini, Ollama For developers who want stronger control over the AI coding process, prefer visual debugging, and value extensible architecture, Juggler offers a completely different experience from traditional chat-based agents.
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Cached at: 07/16/26, 12:17 PM

Hey folks! A visually controllable AI coding agent has arrived

Juggler is an AI coding agent focused on “control and visualization,” with the core goal of giving developers real command over the interaction between LLMs and the codebase — no more black-box operations.

It offers a native desktop app with Miller column navigation, supports session tree structures (branchable and editable), and lets you visually inspect and modify every tool call, context, and strategy.

It also features a plugin architecture, allowing developers to customize slash commands, LLM strategies, and UI.

Core value:

→ Sessions aren’t linear chats — they’re branchable, traceable tree structures
→ A graphical interface that clearly shows every tool call and decision step made by the AI
→ Supports multi-client collaboration (desktop + browser + remote) and works with various models like Claude, OpenAI, Gemini, Ollama, and more

For developers who want stronger control over the AI coding process, enjoy visual debugging, and prefer extensible architectures, Juggler offers a completely different experience from traditional chat-based agents.

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