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DanMcInerney/architect-loop
默认分支 main · commit e6da696c · 扫描时间 2026/6/20 19:08:04
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行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 DanMcInerney/architect-loop 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
2 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- highreadme#1Reposition the README's opening to clearly state it's an agent framework
原因:
当前# architect-loop **Claude Fable handles planning and review; GPT-5.5 Codex handles implementation and research.** Two Claude Code skills wire that split into a repo-centered loop: specs and gates are written first, Codex works in fresh contexts, and Fable reviews the evidence before anything is integrated. It runs on the subscriptions you already have — no API keys required by default.
复制粘贴的修复# architect-loop: A Cross-Vendor Autonomous Agent Framework **Architect-loop is an autonomous agent framework that orchestrates Claude Fable for planning and review, and GPT-5.5 Codex for implementation and research.** It wires these capabilities into a repo-centered loop using two Claude Code skills: specs and gates are written first, Codex works in fresh contexts, and Fable reviews the evidence before anything is integrated. It runs on the subscriptions you already have — no API keys required by default.
- mediumreadme#2Add a 'Comparison' section to the README
原因:
复制粘贴的修复## Comparison to Other Agent Frameworks Unlike general-purpose orchestration libraries, architect-loop provides a simple, opinionated, and extensible framework that explicitly structures the iterative "plan-act-reflect" control loop for autonomous agents. While tools like AutoGPT and CrewAI offer broad agent capabilities, architect-loop focuses on a specific cross-vendor (Claude Fable + GPT-5.5 Codex) loop for code generation and research, emphasizing a repo-centered memory and a clear separation of planning/review (Fable) and implementation/research (Codex).
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- AutoGPT · 被推荐 1 次
- BabyAGI · 被推荐 1 次
- CrewAI · 被推荐 1 次
- LangChain Agents · 被推荐 1 次
- MetaGPT · 被推荐 1 次
- 品类问题Seeking a tool to automate software development tasks using multiple AI agents.你:未被推荐AI 推荐顺序:
- AutoGPT
- BabyAGI
- CrewAI
- LangChain Agents
- MetaGPT
- Smol-Developer
AI 推荐了 6 个替代方案,却始终没点名 DanMcInerney/architect-loop。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What are good AI systems for automating both code planning and implementation phases?你:未被推荐AI 推荐顺序:
- GitHub Copilot X
- Cursor
- Codeium
- Tabnine
- Replit AI
- OpenAI API
AI 推荐了 6 个替代方案,却始终没点名 DanMcInerney/architect-loop。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of DanMcInerney/architect-loop?passAI 明确点名了 DanMcInerney/architect-loop
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts DanMcInerney/architect-loop in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 DanMcInerney/architect-loop
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo DanMcInerney/architect-loop solve, and who is the primary audience?passAI 明确点名了 DanMcInerney/architect-loop
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 DanMcInerney/architect-loop 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/DanMcInerney/architect-loop)<a href="https://repogeo.com/zh/r/DanMcInerney/architect-loop"><img src="https://repogeo.com/badge/DanMcInerney/architect-loop.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
DanMcInerney/architect-loop — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3