mnemox-ai/tradememory-protocol

v0.2.0 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

Published 3mo MCP Developer Tools

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✓ No known CVEs patched

Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agents claude crypto evolution-engine forex mcp

+5 more

mcp-server memory mt5 outcome-weighted-memory trading

Summary

AI summary

Adds four new MCP tools: store_trade_memory, recall_similar_trades, get_strategy_performance, and get_trade_reflection.

Full changelog

tradememory-protocol v0.2.0

The first MCP memory system built for AI trading agents. Not a dashboard. Not a journal. A protocol layer that gives your trading AI the ability to remember and learn.

New: MCP Server (FastMCP)

4 tools available via MCP protocol:

| Tool | Description |
|------|-------------|
| store_trade_memory | Store a trade decision with full context |
| recall_similar_trades | Find past trades with similar market context |
| get_strategy_performance | Aggregate stats per strategy |
| get_trade_reflection | Deep-dive into a trade's reasoning and lessons |

Install

uvx tradememory-protocol

Use with Claude Desktop / Claude Code

{
  "mcpServers": {
    "tradememory": {
      "command": "uvx",
      "args": ["tradememory-protocol"]
    }
  }
}

Also included

FastAPI REST API preserved (tradememory-api command) for MT5 sync pipeline
123 tests passing (12 new MCP tool tests)
SQLite storage (zero config)

Built by Mnemox AI

View diff on GitHub

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About mnemox-ai/tradememory-protocol

Structured 3-layer memory system (trades → patterns → strategy) for AI trading agents. Supports MT5, Binance, and Alpaca.

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