fujibee/agmsg

• highreadme#1

  Reposition README H1 and first sentence to clarify core tech and purpose

  原因：

  当前

  # agmsg
  Cross-agent messaging for CLI AI agents. No daemon, no network, no complexity.

  复制粘贴的修复

  复制

  # agmsg: Cross-vendor messaging for CLI AI coding agents (Bash + SQLite)
  Enable Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, and any other CLI agent to talk to each other directly through a shared local SQLite database, all powered by Bash. No daemon, no network, no complexity.

  待办完成忽略
• highreadme#2

  Add a 'Key Differentiators' section to the README

  原因：

  复制粘贴的修复

  复制

  ## Key Differentiators
  *   **Simple & Daemon-Free:** Just `bash` and `sqlite3` – no extra runtime, no complex setup.
  *   **Local & Private:** All communication happens via a shared local SQLite file, ensuring privacy and no network overhead.
  *   **Cross-Vendor CLI Agent Communication:** Designed specifically for different CLI AI coding agents (Claude Code, Codex, Gemini CLI, Copilot CLI) to collaborate as peers.
  *   **Not a Message Queue/Framework:** Unlike LangChain or Kafka, `agmsg` is a minimalist peer-to-peer communication layer, not an orchestration framework or distributed queue.

  待办完成忽略
• mediumabout#3

  Update the repository's 'About' description to lead with 'Bash + SQLite'

  原因：

  当前

  Cross-vendor messaging for CLI AI coding agents — let Claude Code, Codex, Gemini & Copilot talk to each other in one team. Bash + SQLite, no daemon, no framework.

  复制粘贴的修复

  复制

  Bash + SQLite: Cross-vendor messaging for CLI AI coding agents — let Claude Code, Codex, Gemini & Copilot talk to each other in one team. No daemon, no framework.

  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 I make multiple command-line AI agents communicate directly for collaborative tasks?

  你：未被推荐
  AI 推荐顺序：

  1. LangChain
  2. CrewAI
  3. AutoGen
  4. Open Interpreter
  5. subprocess module
  6. RabbitMQ
  7. Redis Pub/Sub
  8. pika
  9. redis-py
  10. gRPC
  11. ZeroMQ

  AI 推荐了 11 个替代方案，却始终没点名 fujibee/agmsg。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What's a simple, daemon-free method for AI coding agents to exchange messages locally?

  你：未被推荐
  AI 推荐顺序：

  1. multiprocessing.Queue
  2. queue.Queue
  3. socket module
  4. shared_memory module
  5. sqlite3
  6. redis-py (redis/redis-py)
  7. Redis (redis/redis)

  AI 推荐了 7 个替代方案，却始终没点名 fujibee/agmsg。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of fujibee/agmsg?

  pass
  ✓AI 明确点名了 fujibee/agmsg

  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 fujibee/agmsg in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 fujibee/agmsg

  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 fujibee/agmsg solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 fujibee/agmsg

  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？