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tradememory-protocol
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.
★1.4kstars
Python
MIT
Updated: 1d ago
📋 Project at a Glance
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What's this?A open-source Plugins, MCP & Skills project, built with Python, focusing on agentic-trading and ai-agents
Who made it?Maintained by mnemox-ai team, 1.4K⭐ on GitHub, #569 out of 2373 in Plugins, MCP & Skills
Why does it exist?With the growing demand for agentic-trading and ai-agents in Plugins, MCP & Skills, mnemox-ai created tradememory-protocol as a streamlined solution.
What can it do?Key use cases: audit-trail, claude, compliance
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/mnemox-ai/tradememory-protocol | 官网 https://mnemox.ai/tradememory/
🔗 github.com/mnemox-ai/tradememory-protocol | 官网 https://mnemox.ai/tradememory/
Topics
agentic-tradingai-agentsaudit-trailclaudecompliancecryptoevolution-engineforexmcpmcp-servermemorymt5outcome-weighted-memorytrading