How Loom Works
Loom is an AI-native coordination layer. It bridges the gap between operators and autonomous coding agents by providing a canonical, normalized data store for operational intent, code context, and accumulated project knowledge.
Task-Driven Coordination
Everything is a task. Operators and agents both work from the same queue containing prioritized, tracked, and stateful tasks.
Knowledge Objects (Lessons)
Bugs and implementation roadblocks are automatically extracted into reusable Knowledge Objects containing the problem pattern and tested fix.
Git-Linked Context
Loom isn't just metadata. Every task tracks actual code changes including branches, commits, PRs, and specific file references.
Duplicate Prevention (Similar Work)
Before a task is started, Loom checks for similar tasks and matching code changes to prevent redundant agent loops.