io.github.mnemox-ai/tradememory-protocol

mcp-serverNo score yet

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, SHA-256 tamper detection, 17 MCP tools.

GitHub ↗PyPI ↗

Stars

1,176

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Forks

142

Contributors

1

npm DL / wk

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PyPI DL / wk

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Language

Python

Last push

2026-06-01

About io.github.mnemox-ai/tradememory-protocol

Getting Started | Use Cases | API Reference | OWM Framework | Limitations | 中文版 It makes the same mistakes every session. It can't explain why it traded. It forgets everything when the context window ends. Meanwhile, MiFID II is raising the bar for algorithmic decision documentation (Article 17). The EU AI Act demands systematic logging of AI actions (Article 14). Your competitors' agents are learning from every trade. The AI trading stack is missing a layer. Every MCP server handles execution — placing orders, fetching prices, reading charts.…

Read the full README on GitHub →

Install

pip install tradememory-protocol
Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

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Frequently asked questions

Is io.github.mnemox-ai/tradememory-protocol still maintained?
Yes — actively maintained. The last push was on 2026-06-01, with 1 contributors.
What are the best io.github.mnemox-ai/tradememory-protocol alternatives?
Closest by category and size in our data: ai.smithery/brave, BoostedTravel, chigwell/telegram-mcp — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 1 open issues · 7 releases