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.
mnemox-ai/tradememory-protocol
MCP server Claude CodeCodexCursor +2
Decision audit trail + persistent memory for AI trading agents. SHA-256 tamper detection, outcome-weighted recall, strategy evolution via MCP. Runs locally from the tradememory-protocol Python package.