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

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

HOL Guard

HOL

Freemium

HOL Guard sits between AI coding agents and their tools to intercept risky reads, installs, MCP registrations, and config changes before execution.

Pre-execution Interception: Wraps agent launch commands so risky reads, installs, MCP registrations, and config or hook changes are surfaced as a reviewable diff before they run.
Under 50 ms Local Scan: All scanning happens on-device with no outbound network call, keeping agent workflows fast and usable fully offline.
One-keystroke Approval Flow: Each block presents the diff on screen so the developer can allow or deny with a single key, and the decision is written to a local receipt.
Multi-Harness Support: Ships tailored integrations for Claude Code, Codex, Cursor, OpenCode, Gemini CLI, Hermes, and OpenClaw so the same policy engine covers every agent.
Guard Cloud Sync: Optional cloud tier syncs decision receipts, alerts, and audit history across machines while never uploading file contents, prompts, or environment variables.
Team Policy Packs: Team plan deploys shared policy packs, team alerts, and investigation routing so multiple developers operate under the same runtime rules.
Plugin Scanner for Maintainers: Companion CLI and GitHub Action verify plugin manifests, MCP transport posture, and skill-level prompt-injection markers before release.

Blocking secret exfiltration: Stop a coding agent from reading .npmrc, .env, or cloud credential files during an automated task.
Guarding MCP installs: Review new MCP server registrations for insecure HTTP endpoints or wildcard binds before they are added to the harness.
Enforcing config approvals: Require an explicit allow on config or hook edits proposed by an agent so surprise supply-chain changes are caught in place.
Team-wide policy control: Roll out a single Guard policy pack across a team so every developer's Cursor or Claude Code session enforces the same runtime rules.
Cross-device continuity: Sync approval history through Guard Cloud so switching laptops does not force a developer to re-approve safe actions from scratch.
Plugin release gating: Use the plugin-scanner action in CI to fail PRs that publish plugins below a minimum trust score or with high-severity issues.

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.