YYLO
YYLO is an open-source platform that orchestrates AI coding agents by managing structured development workflows from initial intent to validated, production-ready code. It ensures complete traceability by preserving engineering memory, including task definitions, session details, and evaluation evidence within Git.
Recent releases include version 0.1.0-rc.25, which features improved install guidance, synced package facts, enhanced release artifact scanning, and expanded test-daemon capabilities.
As of
- Orchestrates multi-agent workflows with consistent CLI launchers
- Git-native task management via YYLO Ledger
- Comprehensive audit trails for task intent, agent sessions, and validation results
- Isolated Git worktrees for safe, bounded agent execution
- Integration with YYLO Benchmark for longitudinal agent evaluation
Engineering teams and developers who need to coordinate AI coding agents while maintaining durable, auditable, and verifiable records of every automated code change.
Users seeking a simple, one-click automated coding tool that does not require repository-integrated task management or manual review of agent-generated work.
YYLO is fully open-source and free to use; there are no subscription fees and you retain full control over your data within your own infrastructure.
YYLO is a sophisticated, highly structured framework that excels at turning AI coding experiments into reliable, traceable engineering processes by treating Git as the source of truth for task history.
Is YYLO free?
Yes - YYLO is Open Source. YYLO is fully open-source and free to use; there are no subscription fees and you retain full control over your data within your own infrastructure.
What is YYLO best for?
Engineering teams and developers who need to coordinate AI coding agents while maintaining durable, auditable, and verifiable records of every automated code change.
Who makes YYLO?
YYLO is developed by yylo-dev. It is listed in the Terminal & CLI Agents category on ai.dosa.dev.
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