Jackalope icon

Jackalope

Jackalope is a desktop workspace for running Codex, Claude Code, Grok, OpenCode, Kimi Code, and Antigravity coding agents in parallel Git worktrees. It helps developers carry project context across tasks, use connected tools, and review related changes together; users provide their own agent CLIs and provider accounts.

Jackalope

AI coding agents in one local workspace

Jackalope is a desktop workspace for running supported AI coding-agent CLIs in parallel. It gives each task its brief, agent, account, Git worktree, questions, and result, so independent implementation, debugging, and exploration work can be tracked without managing a collection of terminal tabs.

The workspace also connects project guidance, dependency exploration, agent communication, tool access, recurring checks, and code review. It is intended for local projects: repositories and task workspaces stay on the computer, while model access and any provider-side handling of code or context remain subject to the selected agent account and connected-tool policies.

Core features

Parallel agent tasks

Run Codex, Claude Code, Grok, OpenCode, Kimi Code, or Antigravity on independent tasks in separate Git worktrees. Define dependencies between tasks and follow their progress from one workspace.

Project context

Save project instructions and lessons once, then match relevant guidance and project defaults to new prompts. You can adjust the selected context and inspect what the agent received.

Dependency-aware code exploration

Browse a codebase map, follow resolved file dependencies, and inspect related files while reviewing a change. The map helps select what to check next but does not replace tests.

Combined review

Read task results beside their original briefs, combine related patches, request another pass, and keep checks tied to the code they tested before deciding what enters the project.

Browser, desktop, and MCP tools

Use a separate browser session for each task to navigate pages, fill forms, capture screenshots, and check accessibility. On Windows, an explicitly approved app window can be controlled with clicks, typing, and scrolling; MCP connections add project tools.

Recurring tasks

Schedule checks and chores, or trigger a run when committed code changes on a local branch. Each run has its own history; Jackalope must be open and the computer awake, and change checks use no model calls.

Practical use cases

  • Develop independent parts of a feature

    Assign separate agents to implementation and settings or documentation work, give each task its own worktree, then combine related patches for review instead of manually reconciling terminal sessions.

  • Investigate and iterate on a bug

    Give a stubborn bug its own task, preserve the original brief and project guidance, and continue the same attempt with a correction while keeping its account and history attached.

  • Assess the reach of a change

    Explore a codebase before changing it by tracing resolved file dependencies and inspecting related files. Use the map to decide which areas and checks deserve attention next.

  • Validate behavior beyond source code

    Run browser checks, accessibility inspections, local checks, or an approved Windows application as part of an agent task, with each browser session separated from the others.

  • Automate recurring project work

    Schedule repeat checks or launch them only after committed local-branch changes, then inspect each run in its own history and review the resulting status.

Pros and Cons

Pros

  • Runs multiple supported coding agents in separate Git worktrees while keeping task briefs, dependencies, questions, and results together.
  • Carries project guidance into new tasks and provides built-in communication and dependency tracking across active agents.
  • Combines related patches and the checks associated with them for a review flow before changes are merged.
  • Supports browser sessions, approved Windows desktop control, MCP connections, and scheduled local checks alongside coding-agent work.

Cons

  • The product is coming soon, so access currently depends on the waitlist or an invitation rather than general availability.
  • Jackalope does not include model access; users must provide supported installed CLIs and provider accounts, with costs and limits determined by those providers.
  • Recurring tasks require Jackalope to remain open and the computer to stay awake, and account profiles do not isolate local file access.

FAQ

Do I need an AI subscription to use Jackalope?

Jackalope runs installed supported coding-agent CLIs and does not include model access. You need a supported agent CLI and its provider account; subscription requirements, usage limits, and charges come from the provider.

Where does Jackalope run my code and project data?

Jackalope is designed as a desktop workspace for local projects. Repositories and task workspaces live on your computer, although agents may send code and context to their providers under your account settings. Connected tools have their own data policies.

Which coding agents does Jackalope support?

The current native adapters are Codex, Claude Code, Grok, OpenCode, Kimi Code, and Antigravity. Support differs by agent: all six implement tasks, continuation, and review, but tools, account behavior, usage reporting, and routing support vary.

Can I separate work and personal agent accounts?

Yes. You can create named account profiles, choose project defaults, and keep work and personal agent accounts organized. Profiles organize sign-ins and settings but do not isolate an agent's local file access.

How can I get access, and what does it cost?

The product is currently presented as coming soon. You can join the waitlist without payment; after verifying your email, you receive a referral link, and approved members receive five Instant Access Passes to share. Public pricing has not been announced.

Quick Facts

Category
Developer tool
Workspace
Desktop workspace for local projects
Native agents
Codex, Claude Code, Grok, OpenCode, Kimi Code, and Antigravity
Core workflow
Parallel tasks in separate Git worktrees
Tools
MCP, task-isolated browser sessions, and approved Windows app control
Availability
Coming soon; waitlist and early-access invitations are available

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