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agiresearch/OpenAGI
默认分支 main · commit 26c119e5 · 扫描时间 2026/6/19 17:07:54
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下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
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 agiresearch/OpenAGI 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。
- hightopics#1Add relevant topics to the repository
原因:
复制粘贴的修复ai-agents, llm, artificial-general-intelligence, agi, agent-framework, domain-experts, multi-agent-systems, research-platform
- highreadme#2Reposition README opening to clearly state core purpose
原因:
当前# OpenAGI: Package for AI Agent Creation <a href='https://arxiv.org/abs/2304.04370'></a> [](https://github.com/agiresearch/OpenAGI/blob/main/LICENSE) <a href='https://discord.gg/B2HFxEgTJX'></a> ## ✈️ Getting Started OpenAGI is used as the agent creation package to build agents for AIOS. **Notice:** For building up agents in the AIOS, please migrate to the Cerebrum, which is our latest SDK to connect with AIOS kernel.
复制粘贴的修复# OpenAGI: Package for AI Agent Creation OpenAGI is a modular and extensible framework designed to accelerate the development, evaluation, and comparison of diverse AI agents, especially where Large Language Models (LLMs) meet domain experts. It provides a unified platform for AGI research, enabling the integration and experimentation with various AI models, algorithms, and components. ## ✈️ Getting Started OpenAGI is used as the agent creation package. For building agents that connect with the AIOS kernel, please migrate to Cerebrum, our latest SDK.
- mediumreadme#3Add a 'Key Features' section to the README
原因:
复制粘贴的修复## ✨ Key Features * **Modular Agent Creation:** Develop and customize AI agents with flexible execution logic and configurations. * **External Tool Integration:** Seamlessly connect agents with external tools and services for enhanced capabilities. * **LLM & Domain Expert Integration:** Designed to combine large language models with domain-specific expert systems. * **AGI Research Platform:** Provides a unified environment for training, evaluating, and comparing diverse AI models and components towards Artificial General Intelligence.
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。
- LangChain · 被推荐 2 次
- LlamaIndex · 被推荐 2 次
- Microsoft Semantic Kernel · 被推荐 2 次
- Haystack · 被推荐 2 次
- OpenAI Assistants API · 被推荐 1 次
- 品类问题How to create custom AI agents that can interact with external tools and services?你:未被推荐AI 推荐顺序:
- LangChain
- LlamaIndex
- Microsoft Semantic Kernel
- Haystack
- OpenAI Assistants API
- AutoGPT
- CrewAI
AI 推荐了 7 个替代方案,却始终没点名 agiresearch/OpenAGI。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Seeking a framework to combine large language models with domain-specific expert systems.你:未被推荐AI 推荐顺序:
- LangChain
- LlamaIndex
- Haystack
- Microsoft Semantic Kernel
- OpenAI Functions/Tools
- Guidance
AI 推荐了 6 个替代方案,却始终没点名 agiresearch/OpenAGI。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 agiresearch/OpenAGI?passAI 明确点名了 agiresearch/OpenAGI
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 agiresearch/OpenAGI in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 agiresearch/OpenAGI
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 agiresearch/OpenAGI solve, and who is the primary audience?passAI 明确点名了 agiresearch/OpenAGI
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 agiresearch/OpenAGI 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/agiresearch/OpenAGI)<a href="https://repogeo.com/zh/r/agiresearch/OpenAGI"><img src="https://repogeo.com/badge/agiresearch/OpenAGI.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
agiresearch/OpenAGI — 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