Unlazy

Unlazy is a CLI tool for AI agents that ensures task completion by executing and verifying runnable gate contracts defined in project ledgers.

Unlazy provides completion discipline for substantial AI-agent work through runnable gate contracts. Users define tasks in a ledger file using shell-based CHECK lines and EXPECT matches, which the tool executes to verify that output meets specified criteria. It requires Node 16 or newer and functions as a CLI that runs within the user's environment. The tool manages parallel task orchestration using scoped pipelines and maintains security via private, owner-specific approval records for every gate definition. An optional hook integrates with Claude Code to block progress until all defined gates and launch waves are complete. This approach prevents structural drift and ensures evidence-based task verification.

Unlazy at a glance

Best for: Software engineer
Runs on: CLI, Linux, macOS, Windows
Pricing: Free
Released: August 2026
Category: AI coding tool
Website: github.com/Leonxlnx/unlazy

Key features

Executes shell-based gate contracts for task verification
Maintains revisioned contract inventories for parallel work
Supports scoped pipelines for fresh context execution
Validates work through shell exit codes and output fingerprints
Integrates with Claude Code via an optional stop hook
Stores approval records in private, owner-specific directories
Requires Node 16 or newer for operation

Use it for

Verifying complex tasks performed by AI agents
Coordinating parallel work streams with defined dependencies
Ensuring repeatable output via canonical evidence records
Blocking AI agent progress until defined safety checks are met

Alternatives to Unlazy

Unblocked — Reasons across all organizational sources to provide verified context for AI agents.
Unspin — Shows live progress, step names, and ETAs for coding agent shell commands instead of a spinner.
AG-UI — Standardizes agent-user interactions and generative UI for applications.
Autoloom — It embeds engineering judgment, change necessity checks, and evidence-backed delivery into automated coding.
jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
Golem — Provides type-safe agent abstractions and zero-dependency Go implementation.
Unterm — External AI agent control via MCP and built-in Agent Cockpit for managing multiple agents.
Archon — Orchestrate multiple AI agents with isolated workflows via a single command layer.
Atomic Agents — Build predictable, modular AI applications with consistent, reliable outputs.
Hlock — Pins entire AI agent setups into a portable file to share and run anywhere.
Eve — Builds durable AI agents with file system based configuration and isolated sandboxes.
Llmll — The compiler proves each function against its contract with Z3 before merging.

All Unlazy alternatives