mozilla-ai/cq

• highreadme#1

  Reposition the README's opening to clarify core purpose and category

  原因：

  当前

  An open standard for shared agent learning — structured knowledge that prevents AI agents from repeating each other's mistakes.

  复制粘贴的修复

  复制

  A **protocol and framework for AI agent collective intelligence**, enabling agents to persist, share, and query learned knowledge to prevent redundant failures and accelerate discovery.

  待办完成忽略
• mediumtopics#2

  Add more specific topics to improve categorization

  原因：

  当前

  agents, go, python

  复制粘贴的修复

  复制

  agents, go, python, collective-intelligence, knowledge-sharing, multi-agent-systems, ai-collaboration, agent-framework

  待办完成忽略
• mediumreadme#3

  Add a 'Comparison' section to the README

  原因：

  复制粘贴的修复

  复制

  ## How CQ Compares
  
  Unlike [General ML Frameworks like Hugging Face/MLflow], CQ focuses on [AI agent knowledge sharing and collective intelligence].
  
  Unlike [Multi-Agent Simulation tools like PettingZoo/RLlib], CQ provides [a protocol for real-world agent collaboration, not just simulation].
  
  CQ is NOT a [code quality analysis tool].

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can AI agents share learned knowledge to avoid redundant failures?

  你：未被推荐
  AI 推荐顺序：

  1. Hugging Face Transformers
  2. Hugging Face Datasets
  3. MLflow
  4. Ray
  5. Ray Tune
  6. Ray RLib
  7. Apache Kafka
  8. RabbitMQ
  9. AWS SQS
  10. Neo4j
  11. Amazon Neptune
  12. OpenAI Gym
  13. Gymnasium

  AI 推荐了 13 个替代方案，却始终没点名 mozilla-ai/cq。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking a framework for collective AI agent learning using Python or Go.

  你：未被推荐
  AI 推荐顺序：

  1. PettingZoo (Farama-Foundation/PettingZoo)
  2. RLlib (ray-project/ray)
  3. OpenSpiel (deepmind/open_spiel)
  4. Gymnasium (Farama-Foundation/Gymnasium)
  5. Go-Torch (gorgonia/go-torch)
  6. TensorFlow Go (tensorflow/tensorflow)

  AI 推荐了 6 个替代方案，却始终没点名 mozilla-ai/cq。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of mozilla-ai/cq?

  pass
  ⚠AI 未点名 mozilla-ai/cq —— 很可能在说另一个项目

  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 mozilla-ai/cq in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 mozilla-ai/cq

  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 mozilla-ai/cq solve, and who is the primary audience?

  pass
  ⚠AI 未点名 mozilla-ai/cq —— 很可能在说另一个项目

  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？