Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
git clone https://github.com/GanyuanRan/Aegis && cp Aegis/*.md ~/.claude/agents/24 items en este repositorio
Use when retiring old logic, collapsing duplicate owners, removing fallbacks, or touching schema, persistence, or source-of-truth boundaries while deciding whether to delete old paths, retain compatibility, or stop for confirmation.
Use when defining new features, product behavior, UI/component design, architecture choices, contract changes, or ambiguous medium/high-complexity work before implementation.
Use when the user asks for caveman mode, fewer tokens, brief responses, compressed communication, or otherwise explicitly requests a much shorter answer.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when entering a project for the first time, or when the user asks to establish shared language, define domain terms, or create a project glossary.
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Use when implementation is complete, verification has passed, and the user needs to choose merge, PR, branch cleanup, or follow-up integration handling.
Use when the user explicitly asks for first principles, first-principles review, Occam's razor, or when a complex decision has ambiguous goals, competing constraints, repeated fixes, fallback growth, duplicate owners, or architecture/product direction risk.
Use when the user explicitly sets an Aegis goal with /aegis-goal, Aegis goal:, or asks to define goal, success evidence, stop condition, or task boundaries before work.
Use when a task is multi-step, may span context resets or sessions, uses subagents, or risks losing state before completion.
Use when receiving code review feedback before implementing suggestions, especially when feedback is unclear, risky, disputed, or technically questionable.
Use when the user asks to create, write, update, amend, supersede, or evaluate an ADR, architecture decision record, durable architecture decision, decision log, or baseline sync after architecture-changing work.
Use when explicitly requesting an independent code review, after subagent-driven implementation slices, before merging high-risk work, or when verification finds evidence, baseline, architecture, compatibility, or retirement uncertainty that needs reviewer scrutiny.
Use when executing implementation plans with independent tasks in the current session
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
Use when strict TDD is explicitly requested, or when an approved atomic implementation task has already chosen TDD Route strict.
Use when the user says `aegis:update`, asks to update or upgrade an installed Aegis method-pack, wants the latest Aegis version, or asks whether Aegis is current on this host.
Use when starting feature work that needs isolation from the current workspace, or when an implementation plan should run outside the active working tree.
Use when about to claim work is complete, fixed, passing, verified, release-ready, or ready to commit, merge, publish, or hand off.
Resumen de Subagents
Lo que la gente pregunta sobre Aegis
¿Qué es GanyuanRan/Aegis?
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GanyuanRan/Aegis es subagents para el ecosistema de Claude AI. Make AI coding agents architecture-aware: baseline-first, evidence-verified, drift-checked, and safe across long tasks. Tiene 506 estrellas en GitHub y se actualizó por última vez yesterday.
¿Cómo se instala Aegis?
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Puedes instalar Aegis clonando el repositorio (https://github.com/GanyuanRan/Aegis) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar GanyuanRan/Aegis?
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Nuestro agente de seguridad ha analizado GanyuanRan/Aegis y le ha asignado un Trust Score de 97/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene GanyuanRan/Aegis?
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GanyuanRan/Aegis es mantenido por GanyuanRan. La última actividad registrada en GitHub es de yesterday, con 0 issues abiertos.
¿Hay alternativas a Aegis?
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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.
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