Juggler vs OpenWork: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Juggler and OpenWork — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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.
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OpenWork
different.ai / OpenWork Labs
Open-source desktop app and MCP for sharing AI workflows — an OSS alternative to Claude Cowork and Codex.
Key features
- OpenWork MCP: One MCP server exposing search_capabilities and execute_capability to any compatible agent.
- Cross-Agent Skill Reuse: Same skills work inside Codex, Claude Code, Cursor, ChatGPT, and other MCP clients.
- Cross-Platform Desktop App: Optional macOS, Windows, and Linux workspace for people who prefer a dedicated UI.
- Google Workspace + Microsoft 365 Connections: Bring shared connected services into your agent via one MCP.
- Shareable Workflows: Create once, keep private, or share with coworkers and friends.
- Admin Interface: For organizations — publish capabilities, manage access, configure shared connections.
- Powered by opencode: Built on the open-source opencode runtime.
- Fully Free and Open Source: No paid tier, no vendor lock-in.
Best for
- Coding Agent Toolkit: Give Cursor or Claude Code a shared set of skills and MCPs across machines.
- Team Skill Library: Publish reusable AI workflows so teammates can invoke them from their preferred agent.
- OSS Alternative to Cowork: Replace closed-source workflow suites with a self-hosted OSS stack.
- Personal Automation Hub: Keep private skills across ChatGPT, Codex, and Claude Code without re-authoring each time.
- Enterprise Rollout: Use the admin UI to give employees curated, access-controlled AI capabilities.
- Connecting Google/Microsoft to Agents: Reuse one Workspace/365 connection across every agentic client.
