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tradememory-protocol
Python

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.

by mnemox-ai · GitHub
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agentic-tradingai-agentsaudit-trailMITPython
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Keep a detailed record of your AI trading decisions to meet regulatory requirements and improve performance.

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1.41k1.40k
2026-07-202026-08-31
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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-protocol has 1.4k stars on GitHub. It has been forked 166 times. tradememory-protocol is written mainly in Python. It has been in active development since 2026. tradememory-protocol is available under the MIT license. Its main topics are agentic-trading, ai-agents, audit-trail, claude.

Frequently asked questions

What is 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.

Is tradememory-protocol open source?

tradememory-protocol is an open-source project. It is released under the MIT license.

Is tradememory-protocol free?

Yes. tradememory-protocol is free and open source — you can use, modify and self-host it.

What license does tradememory-protocol use?

tradememory-protocol is available under the MIT license.

What language is tradememory-protocol written in?

tradememory-protocol is written mainly in Python.

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