GH Repository · mnemox-ai
tradememory-protocol
Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.
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pythonclaudeforexmemorymcpmt5tradingevolution-enginedockerai-agentscomplianceagentic-tradingcryptomcp-serveroutcome-weighted-memoryPythonaudit-trail
tradememory-protocol is an MCP server that gives AI trading agents a decision audit trail and persistent memory. Recorded features include outcome-weighted recall, a tamper-evident SHA-256 hash chain with RFC 3161 timestamp anchoring, and 20 MCP tools.
Use it when your trading agents need durable, verifiable memory of past decisions for later review or compliance.
Use it to
- Add persistent memory to an MCP-compatible trading agent
- Maintain a tamper-evident audit trail of trading decisions
- Surface outcome-weighted recall of past trades to an agent
- Anchor decision records with RFC 3161 timestamps
- Wire trading memory into Claude via MCP tools
For Developers building auditable AI trading agents on MCP
- Role
- mcp-server
- Language
- Python
- Licence
- MIT
- Forks
- 167
- Open issues
- 1
- Last push
- 2026-09-14
- Latest release
- v0.1.0 · 2026-02-23
- Skills shipped
- 1
topicsmcp-servertradingaudit-trailmemoryai-agentscompliance