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

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

Atlaso

Atlaso Labs

Freemium

Shared AI memory layer that lets Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read and write from one persistent memory.

Cross-Tool Shared Memory: One persistent memory that Claude Code, Cursor, Codex, Claude Desktop, OpenCode, and Antigravity read from and write to automatically.
Automatic Capture & Recall: Facts, decisions, and preferences are captured as you work and recalled by whichever AI tool needs them next.
Conflict Resolution: Repeated facts, contradictions, and confidence are tracked so the memory knows what's settled vs. what's still open.
Memory Health Dashboard: Web dashboard shows memory power, breadth, agreement percentage, and buckets memories as Helpful / Caution / Open / Warnings.
Personal + Per-Project Scopes: Separate personal and per-project memory scopes keep unrelated contexts from bleeding into each other.
Secrets Scrubbed Before Storage: Secrets are stripped before anything is written to the shared memory layer.
One-Line Install: Single curl-based installer for macOS, Linux, and Windows Terminal.

Multi-Tool Developers: Engineers who bounce between Claude Code, Cursor, and Codex stop re-explaining project context in every session.
Long-Running Projects: Teams keep decisions like 'launch moved from January to March' visible to every AI tool without a status doc.
Personal Preferences: One-time preferences ('Sarah prefers async standups', 'demo day is first Friday') stick across tools.
Onboarding New Tools: When you add a new AI tool, it inherits everything your other tools already know.
Reducing Hallucinated Facts: Contradiction tracking flags outdated facts (like 'old pricing deck still in circulation') so tools don't reuse them.

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.