TsinghuaC3I/MARTI

• highreadme#1

  Reposition README's core value proposition

  原因：

  当前

  > **MARTI** is an open-source framework for training LLM-based Multi-Agent Systems (MAS) with Reinforcement Learning (RL).

  复制粘贴的修复

  复制

  Replace the first sentence of the README's introductory paragraph with: 'MARTI is the leading open-source framework for **LLM-based Multi-Agent Reinforced Training and Inference**, specifically designed to enhance reasoning capabilities for complex tasks like code generation using tree search-augmented RL.'

  待办完成忽略
• mediumhomepage#2

  Add homepage URL to About section

  原因：

  复制粘贴的修复

  复制

  Add the official project website or documentation URL to the repository's 'About' section (homepage field).

  待办完成忽略
• mediumreadme#3

  Add explicit 'Key Features' section to README

  原因：

  复制粘贴的修复

  复制

  Add a dedicated 'Key Features' or 'What MARTI Solves' section to the README, using bullet points to highlight:
  *   Training LLM-based Multi-Agent Systems with Reinforcement Learning.
  *   Enhancing reasoning for complex tasks like code generation via tree search-augmented RL.
  *   Supporting ultra-long sequences (up to 32K tokens) and heterogeneous multi-agent training.

  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

  What frameworks exist for training multi-agent LLM systems using reinforcement learning?

  你：未被推荐
  AI 推荐顺序：

  1. RLlib (ray-project/ray)
  2. PettingZoo (Farama-Foundation/PettingZoo)
  3. Stable Baselines3 (DLR-RM/stable-baselines3)
  4. Farama Gymnasium (Farama-Foundation/Gymnasium)
  5. Acme (deepmind/acme)
  6. TorchRL (pytorch/rl)

  AI 推荐了 6 个替代方案，却始终没点名 TsinghuaC3I/MARTI。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  How can I enhance LLM agent reasoning for complex tasks like code generation using tree search?

  你：未被推荐
  AI 推荐顺序：

  1. AlphaCode
  2. Guidance
  3. LangChain
  4. Tree-of-Thoughts
  5. Graph-of-Thoughts
  6. OpenAI API
  7. LangChain
  8. DreamCoder
  9. DeepProbLog
  10. AlphaFold

  AI 推荐了 10 个替代方案，却始终没点名 TsinghuaC3I/MARTI。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 TsinghuaC3I/MARTI?

  pass
  ✓AI 明确点名了 TsinghuaC3I/MARTI

  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 TsinghuaC3I/MARTI in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 TsinghuaC3I/MARTI

  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 TsinghuaC3I/MARTI solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 TsinghuaC3I/MARTI

  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？