Tradememory Protocol
- 1.4k repo stars
- Updated July 14, 2026
- mnemox-ai/tradememory-protocol
Gives AI trading agents persistent memory: store trades, recall similar past setups, and track strategy performance over time.
About
TradeMemory Protocol is an MCP memory layer for AI trading agents that stores executed trades, surfaces similar historical setups on demand, and tracks how each strategy performs over time. A solo builder running an automated trading agent reaches for it so the agent stops repeating mistakes - it can reference what happened last time a setup like this appeared and weigh strategies by their real track record.
- Persistent memory for trading agents
- Recall similar historical setups
- Track strategy performance
- Python/pypi package
Tradememory Protocol by the numbers
- Data as of Jul 25, 2026 (Skillselion catalog sync)
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| repo stars | ★ 1.4k |
|---|---|
| Package | tradememory-protocol |
| Transport | STDIO |
| Auth | None |
| Last updated | July 14, 2026 |
| Repository | mnemox-ai/tradememory-protocol ↗ |
What it does
Gives AI trading agents persistent memory: store trades, recall similar past setups, and track strategy performance over time.
Who is it for?
builders running automated trading agents that should learn from history
Skip if: non-trading use cases
What you get
- persistent trade memory store
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