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

A side-by-side comparison of Juggler and Minimi — 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.

Shram

Paid

Minimi is an ambient memory Mac app that quietly captures tabs, documents, calls, and Slack threads to provide context for Claude.

Ambient Memory Capture: Continuously records user activity on macOS — including open browser tabs, documents, calls, and Slack threads — to create a persistent context layer.
Claude Context Integration: Supplies collected context to Claude to improve response relevance and maintain continuity across conversations.
Background Mac App: Runs quietly on the Mac, minimizing user friction while maintaining an ongoing record of interactions across apps.
Meeting Notetaker Support: Enables creation of live artifacts such as Mini-scribe, a Granola-style AI meeting notetaker that operates entirely on Minimi memory.
Inbox for Incomplete Conversations: Acts as an AI inbox that surfaces and preserves incomplete or ongoing conversations for follow-up and continuity.
Context-First Responses: Ensures every Claude response can start with rich, user-specific context gathered from recent activity.
Continuous background capture of user activity (browser tabs, documents, calls, Slack threads)
Centralized ambient memory to provide context to Claude conversations
Inbox-style management for incomplete or ongoing conversations
Enables context-rich downstream tools (e.g., meeting notetakers like "Mini-scribe")
Quiet/background operation aimed at minimizing user friction

Enhancing Claude chat quality by pre-loading recent tabs, documents, and messages so answers reflect the user's current context and work.
Automated meeting notetaking: running a Mini-scribe artifact that uses Minimi memory to generate meeting notes and action items without manual setup.
Managing an inbox of incomplete or pending conversations, enabling easier follow-up and continuity across asynchronous threads.
Research and writing assistance: providing the assistant with the user's active documents and tabs so drafting and summarization use accurate source context.
Cross-app context retrieval: surfacing recent Slack discussions, call notes, and opened documents to inform decisions and reduce repetitive explanations.
Provide persistent context to Claude for better, context-aware assistant responses
Automatically capture meeting context to power AI meeting notes and summaries
Aggregate fragmented conversation threads (email, Slack, docs) into a unified inbox of incomplete tasks
Recall past interactions and documents when composing responses or continuing conversations
Power custom Claude-based agents that rely on personal desktop context