AEVS vs Worktrunk: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AEVS and Worktrunk — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AEVS
Fetch.ai
Open-source SDK that creates tamper-evident, cryptographically signed receipts for every tool call an AI agent makes.
Key features
- Signed Receipts: Records every tool call and seals it with an ECDSA P-256 signature backed by KMS.
- Hash-Chained Logs: Links each receipt to the previous one so tampering or skipped steps are detectable.
- Independent Verification: Confirms signatures via a public API or explorer using only a reference ID.
- Drop-In SDK: Installs with pip and wraps existing tools without changing them.
- Framework Auto-Detection: Automatically integrates with LangChain and MCP-based agents.
- Open Source: Released as fetchai/AEVS-sdk for Python 3.10–3.13.
Best for
- Agent Auditing: Keep a verifiable record of exactly what an agent did and when.
- High-Stakes Actions: Prove execution of sensitive operations such as payments or refunds.
- Compliance Evidence: Provide tamper-evident logs for regulated or accountable workflows.
- Debugging Agents: Inspect tool inputs, outputs, timing, and errors for each call.
- Third-Party Verification: Let external parties confirm an action occurred without sharing source code.
Worktrunk
max-sixty
A Rust CLI that makes git worktrees as easy as branches, built for running several AI coding agents in parallel without collisions.
Key features
- 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.
Best for
- 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.