Inventory vs Juggler: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Inventory and Juggler — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Inventory
Inventory
Private, local-first search across every AI coding conversation in Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity.
Key features
- Unified Conversation Index: Reads local stores from Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity and merges them into one searchable timeline.
- Instant Global Search: A ⌘⇧Space shortcut opens a search bar with ~0 ms latency across every past AI chat on your machine.
- Local-Only and Read-Only: Data stays on-device and is snapshotted first, so your original chat stores are never modified and nothing is uploaded.
- Zero-Setup Install: One macOS download auto-discovers the local stores of supported tools — no account, no configuration.
- Unlimited History: Keeps the full history of every conversation instead of the tool-specific rolling windows.
- Scratchpad and Sources View: A companion Scratchpad and per-source view let you browse conversations by tool and pinned notes.
Best for
- Recovering Past Fixes: Find the exact bug fix or config you already talked through with an agent weeks ago instead of re-prompting.
- Cross-Tool Research: Search a topic across Cursor, Claude Code, Zed, Codex, Kiro, and Antigravity at once when you have used more than one.
- Auditing Agent Work: Review what an AI tool actually did on a branch or task by browsing the merged conversation timeline.
- Private Knowledge Base: Build a searchable, on-device knowledge base of your AI chats without sending anything to a cloud service.
- Onboarding a New Machine: Point Inventory at existing chat stores to bring years of AI conversation history into one searchable place.
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.
