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arxdsilva/loops

v0.7.0MIT

Agent-driven Go backend workflow: research → plan (+review loop) → role-based parallel implementation → QA verification loop → product proof + PR → reflection into ai-memory. Every step is traced live (status line, pane) and in an HTML report.

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skills

memory

Use when a loops run may read or write ai-memory - detecting the connection, scoping calls, one briefing at intake, filtered queries, verifying hits, and the reflector's writes (page kinds, tiers, paths). Skip when ai-memory is not connected.

Read SKILL.md at the source

Pinned to revision 5f3d3c57aaea, so it is the text this page describes rather than whatever the author pushed since.

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