mnemox-ai/tradememory-protocol

• highreadme#1

  Reposition README opening to clearly state niche and differentiate from generic databases

  原因：

  当前

  The AI trading stack is missing a layer. Every MCP server handles execution — placing orders, fetching prices, reading charts. **None handle memory.** Your agent can buy 100 shares of AAPL but can't answer: "What happened last time I bought AAPL in this condition?"TradeMemory is the memory layer.** One `pip install`, and your AI agent remembers every trade, every outcome, every mistake — with SHA-256 tamper-proof audit trail.

  复制粘贴的修复

  复制

  The AI trading stack is missing a layer. Every MCP server handles execution — placing orders, fetching prices, reading charts. **None handle memory.** Your agent can buy 100 shares of AAPL but can't answer: "What happened last time I bought AAPL in this condition?"TradeMemory is the memory layer.** Unlike generic databases or broad enterprise financial platforms, it's purpose-built as a tamper-proof audit trail and persistent memory protocol specifically for AI trading agents. One `pip install`, and your AI agent remembers every trade, every outcome, every mistake — with SHA-256 tamper-proof audit trail.

  待办完成忽略
• mediumtopics#2

  Add compliance and audit-related topics

  原因：

  当前

  ai-agents, claude, crypto, evolution-engine, forex, mcp, mcp-server, memory, mt5, outcome-weighted-memory, trading

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  ai-agents, claude, crypto, evolution-engine, forex, mcp, mcp-server, memory, mt5, outcome-weighted-memory, trading, audit-trail, regulatory-compliance, algorithmic-trading-compliance, ai-governance

  待办完成忽略
• lowreadme#3

  Add a 'Comparison to Alternatives' section to the README

  原因：

  复制粘贴的修复

  复制

  Create a new section in the README, e.g., 'Comparison to Alternatives', that explicitly outlines how TradeMemory Protocol differs from: 1. Generic databases (e.g., PostgreSQL, MongoDB) by offering specialized, outcome-weighted recall and tamper-proof audit trails for AI trading. 2. Broad enterprise financial platforms (e.g., Symphony, Murex) by providing a focused, agent-centric memory and compliance layer rather than a full trading system.

  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 to implement persistent memory and decision logging for my AI trading agent?

  你：未被推荐
  AI 推荐顺序：

  1. PostgreSQL
  2. SQLAlchemy
  3. MongoDB
  4. Couchbase
  5. InfluxDB
  6. TimescaleDB
  7. SQLite
  8. Redis
  9. RedisJSON
  10. RedisGraph
  11. Apache Kafka
  12. RabbitMQ

  AI 推荐了 12 个替代方案，却始终没点名 mnemox-ai/tradememory-protocol。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Tools for ensuring regulatory compliance and auditability in algorithmic trading systems?

  你：未被推荐
  AI 推荐顺序：

  1. Symphony
  2. OpenGamma Platform
  3. Adenza
  4. Murex MX.3
  5. Refinitiv
  6. Nice Actimize
  7. Elastic Stack

  AI 推荐了 7 个替代方案，却始终没点名 mnemox-ai/tradememory-protocol。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 mnemox-ai/tradememory-protocol?

  pass
  ✓AI 明确点名了 mnemox-ai/tradememory-protocol

  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 mnemox-ai/tradememory-protocol in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 mnemox-ai/tradememory-protocol

  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 mnemox-ai/tradememory-protocol solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 mnemox-ai/tradememory-protocol

  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？