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

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

Harden

Free

Local security layer for AI coding agents that inspects every tool call before it runs and can block, rewrite, or pause the action.

Pre-Execution Tool Call Checking: Every command, file edit, tool call, and outbound request is evaluated before it is allowed to run, not audited afterwards.
Intent-Aware Decisions: The check compares the proposed action against the task the developer actually requested plus session context, rather than matching a static rule list.
On-Device Model: A post-trained 8B-parameter model runs locally and is reported to beat frontier models on agent-security benchmarks while remaining fast enough to sit inline.
Graduated Responses: Actions can be allowed, blocked, redacted, paused for a human answer, or simply logged, and a blocked action does not stop the agent's other work.
Secret and Exfiltration Protection: Catches credential leaks, data exfiltration attempts, and destructive infrastructure operations before they execute.
Local Review Dashboard: Every decision is logged and reviewable through a dashboard that runs on the developer's own machine.
Broad Agent Compatibility: Works with Claude Code, Cursor, Codex, Hermes, OpenClaw, Kiro, and Antigravity.
Privacy by Design: Repository contents and tool output stay on the local machine because inference happens there.

Guarding Autonomous Coding Sessions: Let a coding agent run with fewer manual approvals while a local check still catches destructive commands.
Preventing Secret Leakage: Stop an agent from pasting API keys or credentials into an outbound request or a committed file.
Blocking Prompt-Injection Damage: Catch actions an agent was steered into by malicious content in a repository, issue, or web page it read.
Protecting Production Infrastructure: Intercept destructive infrastructure operations before they reach cloud resources or databases.
Agent Behaviour Auditing: Review a logged trail of what an agent tried to do and which actions were blocked or redacted.
Team Policy Enforcement: Apply consistent guardrails across developers using different coding agents on the same codebase.

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.