hob vs Jackalope: Features, Pricing & Which Is Better (2026)

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

hob

SmartAppsCo

Paid

A macOS workspace that runs Claude Code, Codex and OpenCode side by side, keeping parallel agent work, automations and secrets under your control.

Multi-CLI Agent Panes: Runs Claude Code, Codex and OpenCode side by side in tiled panes and terminals so several agents can be directed from one window.
Agent Handoff and Coordination: Agents pass scoped work between each other — one builds a command palette while another indexes the workspace — with each handoff visible to you.
Automations with Scheduling: Turns recurring jobs such as bug intake, feedback triage or weekly release notes into repeatable runs that follow the same steps every time.
Secret Management: API tokens and deploy credentials are stored in hob and injected at run time, so no agent or inference provider ever sees them.
Pull Request Workflow: Open, comment on and close pull requests in-app, with the diff, the conversation and the change all in one place, driven by hand or via the hob pr command.
Remote Issue Management: Connects to GitHub and Git hosts so issues can be triaged, filed and closed from the same surface the agents work in.
Local-First Architecture: The workspace and its database live on your own machine, with end-to-end encryption when you reach it from another device.
Durable Session History: Keeps a local record of runs and conversations that outlives the terminal session, so agent work can be reviewed or recovered later.

Supervising Parallel Agents: Direct several coding agents working on different parts of a feature at once without losing track of what each one changed.
Recurring Maintenance Automation: Schedule a weekly release-notes run or a daily user-feedback triage pass that executes identically every time.
Bug Intake Pipelines: Reproduce a reported issue, file it and summarize it as a single automated run triggered on demand.
Reviewing Agent Output Before Merge: Inspect the diff, conversation and resulting pull request together so generated changes get a real review instead of a blind merge.
Working Across Providers: Compare how Claude Code, Codex and OpenCode handle the same task using your existing subscriptions rather than resold tokens.
Remote Development: Leave agents running on a machine at the office and check in securely from another device over an encrypted connection.
Keeping Credentials Out of Prompts: Run agent tasks that need deploy tokens or API keys without ever exposing those secrets to the model.

Jackalope Digital LLC

Free

A desktop workspace for running Codex, Claude Code, Grok, OpenCode, Kimi Code and Antigravity in parallel Git worktrees.

Parallel Tasks in Git Worktrees: Every task runs in its own worktree so multiple agents work simultaneously without colliding, with dependencies set when one change needs another.
Six Supported Agents: Assign Codex, Claude Code, Grok, OpenCode, Kimi Code or Antigravity per task, using each agent's own installed CLI and permission rules.
Interactive Codebase Map: Browse resolved file dependencies to trace the reach of a change and choose what to inspect next during review.
Carried-Forward Project Context: Save project guidance once; new tasks match relevant guidelines to the prompt, inherit defaults, and let you inspect what the agent actually received.
Unified Code Review: Read each result beside its original brief, combine related patches into one review, request another pass, and decide what enters the project.
Named Account Profiles: Keep work and personal agent accounts separate with per-project defaults and per-account usage tracking.
Agent Browser and Computer Use: A separate browser session per task lets agents navigate pages, fill forms, capture screenshots and run accessibility checks; Windows desktop control adds approved window clicks, typing and scrolling.
Cross-Agent Messaging: Tasks share a project inventory with ownership, scopes and dependencies, and agents can send direct task messages or project broadcasts through a durable inbox.

Running Experiments Side by Side: Try two different approaches to the same problem with different agents and compare the resulting patches before choosing one.
Reviewing Agent Output Safely: Keep every generated change behind a human review step, with checks attached to the code they tested.
Comparing Coding Agents: Assign the same brief to Codex, Claude Code and Grok to see which handles your codebase best.
Separating Work and Personal Accounts: Use the right provider account per project without re-authenticating or risking cross-billing.
Understanding a Change's Blast Radius: Use the codebase map to see which files a proposed change touches before merging it.
Automating Verification: Let agents drive a sandboxed browser to fill forms, screenshot results and run accessibility audits as part of a task.