LotsTeam

Gives AI coding agents native tools to pull their next prioritized, unblocked task with a full briefing (description, acceptance criteria, context files, conventions), comment and tick off criteria with evidence, ask the human decision-maker questions, and submit structured handoffs for review. It lets agents plan epics and sprints, report checks, create new tasks, and release work with checkpoints — all against a self-hosted board rather than files in the repo.

Lightweight project management for teams and AI agents.

Gives coding agents 73 native tools to run their own project management — filing, linking, and resolving bugs and features, planning sprints, migrating from Jira/Linear/Shortcut, and handling cross-agent contracts, channels, DMs, notifications, and audit trails. Runs locally or remotely with API-key auth, so agents track work with full intent and reasoning instead of losing it when their context window resets.

Enables AI agents to manage tasks through a structured lifecycle (todo, in_progress, ai_testing, manual_testing, deployment, completed) with human approval gates, providing a single-user task management system with CLI, REST API, and live updates.