mnemox-ai/tradememory-protocol

Overview

An open-source Python library that provides a decision audit trail and persistent memory for AI trading agents. It uses outcome-weighted recall to prioritize past decisions and SHA-256 hashing for tamper detection. The library includes 17 MCP tools for integration.

Best for

Best for
Developers building AI trading agents that need auditable, persistent memory

Use cases

• Auditing trading agent decisions with tamper-evident logs
• Persisting agent memory across trading sessions
• Improving decision recall by weighting outcomes

How to use

Install

pip install tradememory-protocol

Tested with

Claude Desktop, Claude Code, Cursor

Notes

An open-source Python library that provides a decision audit trail and persistent memory for AI trading agents. It uses outcome-weighted recall to prioritize past decisions and SHA-256 hashing for tamper detection. The library includes 17 MCP tools for integration.

1,082 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Auditing trading agent decisions with tamper-evident logs
• Persisting agent memory across trading sessions
• Improving decision recall by weighting outcomes

Pros

• Tamper detection via SHA-256 hashing ensures audit integrity
• Outcome-weighted recall helps agents learn from past results
• Open source with 1,082 stars and active community

Cons

• Limited to trading agent use cases
• Requires integration with existing agent frameworks
• Dependency on MCP tools may add setup complexity

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.