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

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

Juggler

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.

Paid

A product-management system that connects all your customer data into shared context for product teams and their AI agents.

Customer Data Connection: Connect every tool, interaction and competitor into one place so your whole team and agents see the same context.
Context in Minutes: Link your stack and surface your first customer context within minutes of setup.
Signal Extraction: Turn each data point into a real, actionable signal teams can build from rather than raw noise.
Collaborative Canvases: Prioritize, sketch and shape roadmaps together in shared spaces with full context.
Agent Hand-off: Hand the full context to AI agents so they work with more accuracy, higher quality and faster shipping.
Stack Integrations: Unlimited integrations with HubSpot, Intercom, Slack and other product tools.

Roadmap Prioritization: Decide what to build next using connected customer signals instead of guesswork.
Customer Intelligence: Centralize fragmented customer and competitor data into one queryable context.
Agent-Assisted Building: Give AI agents full product context so they ship higher-quality work faster.
Cross-Team Collaboration: Let the whole product team work from a single shared source of truth.
Competitor Tracking: Keep an indexed, up-to-date view of competitor activity for product decisions.