tradememory-protocol

MCP

Persistent memory and decision audit trail MCP server for AI trading agents with outcome-weighted recall and tamper detection.

by mnemox-ai·mnemox-ai/tradememory-protocol·Python·v0.5.6

86· A

Install

git clone https://github.com/mnemox-ai/tradememory-protocol

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About

TradeMemory remembers what it cost. It is an open-source, local-first memory and brake for AI trading agents: it pulls in your fills, finds where your own history loses money, puts those losing trades in front of your agent before the next order, and can refuse an order that breaks rules you set, before it reaches the broker.

Brokers now let AI agents trade over MCP, with different guardrails: Webull and tastytrade set size or buying-power limits, Interactive Brokers only lets the agent draft an order for you to submit, and Robinhood and Public set no cap you can impose on an external agent (StockBrokers, 2026-09-30). The caps are fixed numbers. None of them looks at how your own past trades went.