Rivault vs Worktrunk: Features, Pricing & Which Is Better (2026)

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

Rivault

Freemium

A zero-knowledge vault that lets AI agents request sensitive data on demand, unlocked by Face ID or passkey and redacted after each task.

Zero-knowledge Vault: Sensitive data is encrypted client-side so Rivault never has access to the underlying values by default.
Per-request Auth: Every agent access triggers a fresh authorization request that you approve with Face ID or a passkey.
Deterministic Redaction: Data is scoped to a single task and redacted from the agent's context after completion.
Agent-agnostic Integration: Works with chat-based AI agents and Computer Use Agents that automate browser or desktop flows.
Ownership of PII: Store SSN, payment info, phone numbers, and emails once and reuse without leaving copies in session logs or memory.
Biometric Unlock: Face ID or passkey approval keeps the human in the loop for every sensitive field release.

Agent-driven Bookings: Approve passport and card details on-demand when an agent books flights or hotels.
Automated Form Fill: Let CUAs complete government or insurance forms without leaving PII in browser logs.
Customer Support Delegation: Grant scoped access to account numbers when an agent handles a service call for you.
Recurring Task Automation: Reuse stored credentials across many agent workflows without pasting them each time.
Enterprise Agent Deployments: Add a consent + audit layer for teams deploying agents that touch sensitive employee or customer data.

max-sixty

Free

A Rust CLI that makes git worktrees as easy as branches, built for running several AI coding agents in parallel without collisions.

Branch-Addressed Worktrees: wt switch, wt remove, and wt list refer to worktrees by branch name with paths computed from a configurable template, replacing multi-step git worktree incantations.
Agent Launch in One Command: wt switch -c -x claude <branch> creates the worktree, enters it, and starts the agent in a single invocation.
Lifecycle Hooks: Run commands automatically on create, pre-merge, and post-merge to automate setup and teardown for every new worktree.
LLM Commit Messages: Generates commit messages from the diff so parallel agent branches stay legible without hand-writing every message.
One-Command Merge Workflow: Squash, rebase, merge, and clean up the worktree and branch in a single step rather than a sequence of git commands.
Interactive Picker: Browse worktrees with streaming CI status alongside diff, log, PR, and comment previews before switching.
Shared Build Caches: wt step copy-ignored gives ten worktrees their own target/ and node_modules/ without rebuilding or copying, using reflinks on APFS, btrfs, and XFS.
Per-Worktree Dev Servers: A hash-port template filter assigns each worktree a unique port so parallel dev servers do not conflict.

Parallel Agent Runs: Give each of five to ten concurrently running AI coding agents its own worktree so their edits never collide.
Fast Branch Context Switching: Jump between in-flight changes by branch name instead of navigating sibling directories by path.
Pull Request Review: wt switch pr:123 checks out a pull request's branch directly for local inspection or testing.
Monorepo Iteration: Share heavy build artifacts across many worktrees so each new branch is usable immediately instead of after a full rebuild.
Automated Branch Setup: Use create hooks to install dependencies, copy env files, or start services whenever a worktree is made.
Multi-Branch Status Review: wt list --full shows CI status and AI-generated summaries for every active branch in one view.