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Human-Agent-Society/CORAL
默认分支 main · commit 4a302485 · 扫描时间 2026/6/13 18:16:58
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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 Human-Agent-Society/CORAL 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
3 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 README's first sentence to emphasize code evolution
原因:
当前CORAL is infrastructure for **autonomous AI agent organizations** that run experiments, share knowledge, and continuously improve solutions.
复制粘贴的修复CORAL is infrastructure for **autonomous AI agent organizations** that collaboratively **evolve and improve code solutions**, run experiments, share knowledge, and continuously improve software.
- mediumcomparison#2Add a 'Comparison to Alternatives' section in the README
原因:
复制粘贴的修复Add a new section, e.g., `## Comparison to Alternatives`, explaining how CORAL differs from broader agent frameworks like AutoGPT, LangChain, and LlamaIndex by focusing on autonomous self-evolution for code, autoresearch, and robust evaluation of software solutions. Leverage the AI's own differentiation: 'CORAL's core differentiator is its explicit design as a platform for orchestrating multiple LLM-powered agents under human guidance to collaboratively solve complex, open-ended problems.'
- lowexamples#3Expand and highlight practical examples in the README
原因:
复制粘贴的修复Ensure the `## Examples` section in the README includes at least 2-3 concrete, copy-pasteable examples demonstrating how CORAL is used for self-evolving code, autoresearch, or improving LLM coding agents, with clear steps and expected outcomes.
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 2 次
- LangChain · 被推荐 2 次
- LlamaIndex · 被推荐 2 次
- Docker · 被推荐 2 次
- AgentGPT · 被推荐 1 次
- 品类问题How can I set up an autonomous multi-agent system for self-evolving code solutions?你:未被推荐AI 推荐顺序:
- AutoGPT
- AgentGPT
- SuperAGI
- MetaGPT
- LangChain
- LlamaIndex
- OpenAI Assistants API
- Hugging Face Transformers Agents
- RLlib
- DeepMind's AlphaCode
- GPT-4
- Claude 3 Opus
- Google Gemini Advanced
- Docker
- Jupyter Notebooks
- Pytest
- JUnit
- Jest
- Git
AI 推荐了 19 个替代方案,却始终没点名 Human-Agent-Society/CORAL。这就是要补上的差距。
查看 AI 完整回答
- 品类问题What frameworks exist for building and evaluating self-improving LLM coding agents?你:未被推荐AI 推荐顺序:
- AutoGPT
- LangChain
- LlamaIndex
- OpenAI Evals
- Humanloop
- SWE-bench
- Docker
AI 推荐了 7 个替代方案,却始终没点名 Human-Agent-Society/CORAL。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 completenesspass
- 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 Human-Agent-Society/CORAL?passAI 明确点名了 Human-Agent-Society/CORAL
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 Human-Agent-Society/CORAL in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 Human-Agent-Society/CORAL
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 Human-Agent-Society/CORAL solve, and who is the primary audience?passAI 明确点名了 Human-Agent-Society/CORAL
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 Human-Agent-Society/CORAL 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/Human-Agent-Society/CORAL)<a href="https://repogeo.com/zh/r/Human-Agent-Society/CORAL"><img src="https://repogeo.com/badge/Human-Agent-Society/CORAL.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
Human-Agent-Society/CORAL — 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