TradeMemory Protocol is a self-hosted, MIT-licensed MCP memory layer that uses 20 tools to fill the memory and audit gaps for AI trading agents: outcome-weighted recall, five-layer memory writes, behavioural and risk analysis, and a SHA-256 forward-chained audit ledger with daily Merkle roots. It explicitly does not execute trades or touch funds, is local-first, and its only outbound call is trusted timestamping of daily audit roots (which can be turned off). The project is in maintenance mode, and the docs flag the audit chain as not yet fully mature plus OWM validation and the evolution engine as research-phase. It suits individuals and teams that value decision traceability and review discipline, not those wanting a hosted service, trade execution or investment advice.
TradeMemory Protocol is a memory layer for AI trading agents: it never executes trades and never touches funds, it only records and recalls. Recall before trading weights past trades by outcome quality, context similarity, recency, confidence and emotional state; after trading, a single remember_trade call writes to five memory layers (episodic, semantic, procedural, affective and trade records). Every decision is SHA-256 hashed at creation and forward-linked into an audit ledger, summarised by daily UTC Merkle roots, with optional RFC 3161 trusted timestamp anchoring (on by default, disable with TRADEMEMORY_TSA=off). It ships 20 MCP tools plus 35+ REST endpoints, works with any market or broker, is local-first, and is MIT-licensed. As of August 2026 the project is feature-complete and in maintenance mode: bug and security reports are reviewed, but no new features or hosted service are planned.
{
"mcpServers": {
"tradememory": {
"command": "uvx",
"args": ["tradememory-protocol"]
}
}
}