Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.
TradeMemory is a memory and audit layer for AI trading agents that records trading decisions, outcomes, and context in a tamper-evident history. It is for traders and automated trading systems that need agents to recall past decisions and document their reasoning. Catalogue add-ons provide skills, commands, MCP tools, and related workflow components for using it.
This repository also configures its own agents. See what tradememory-protocol tells them →
mnemox-ai/tradememory-protocol
Plugin Claude Code
Bundles 3 skills, 5 commands, 1 MCP server · 319 tokens together
Persistent trade memory for AI trading agents: record trades, recall the losing ones from similar conditions before the next order, and review behaviour over time.