mnemox-ai

mnemox-ai/tradememory-protocol

Skill Claude CodeCodex

Validate trading strategies for overfitting using 4 statistical tests (DSR, Walk-Forward, Regime, CPCV).

mnemox-ai/tradememory-protocol

Skill Claude CodeCodex

AI trading memory with outcome-weighted recall and autonomous strategy evolution. 17 MCP tools, 1,233 tests, works with any trading platform.

mnemox-ai/tradememory-protocol

Instructions file CodexOpenCode

Instructions for mnemox-ai/tradememory-protocol, covering tradememory protocol — agent context, project rules, recent changes and current status.

mnemox-ai/tradememory-protocol

Skill Claude CodeCodex

Compliance-grade decision audit trail for AI trading agents. Records every trading decision with full context (conditions, filters, indicators, risk state), SHA-256 tamper detection, and structured export for MiFID II / EU AI Act readiness. Works alongside Binance Spot, Futures, and Web3 skills — they execute trades…

mnemox-ai/tradememory-protocol

Skill Claude CodeCodex

Bridge between Binance trading events and TradeMemory Protocol. Automatically journals trades, recalls similar past setups, detects behavioral biases, and provides outcome-weighted recall for AI trading agents. Use this skill after executing Binance spot trades to build persistent memory.

mnemox-ai/tradememory-protocol

Plugin Claude Code

Persistent memory + autonomous strategy evolution for AI traders. 200+ trading MCP servers execute. None remember. TradeMemory does.

mnemox-ai/tradememory-protocol

MCP server Claude CodeCodexCursor +2

Decision audit trail + persistent memory for AI trading agents. SHA-256 tamper detection, outcome-weighted recall, strategy evolution via MCP. Runs locally from the tradememory-protocol Python package. Needs 2 environment variables to run.

mnemox-ai/tradememory-protocol

Command

Run a daily reflection on recent trades and behavioral patterns.

mnemox-ai/tradememory-protocol

Command

Run the Evolution Engine to discover and validate trading strategies.

mnemox-ai/tradememory-protocol

Command

Generate a strategy performance report with key metrics.

mnemox-ai/tradememory-protocol

Command

Recall similar past trades using outcome-weighted memory.

mnemox-ai/tradememory-protocol

Command

Record a completed trade into all memory layers with full context.

mnemox-ai/tradememory-protocol

Skill Claude CodeCodex

Domain knowledge for the Evolution Engine — LLM-powered autonomous strategy discovery from raw OHLCV data. Covers the generate-backtest-select-evolve loop, vectorized backtesting, out-of-sample validation, and strategy graduation. Use when discovering trading patterns, running backtests, evolving strategies, or…

mnemox-ai/tradememory-protocol

Skill Claude CodeCodex

Risk management domain knowledge for trading agents — affective state monitoring, position sizing, drawdown management, tilt detection, and behavioral guardrails. Use when checking risk before trades, managing drawdowns, detecting behavioral drift, or enforcing discipline. Triggers on "risk", "drawdown", "tilt"…

mnemox-ai/tradememory-protocol

Skill Claude CodeCodex

Domain knowledge for AI trading memory — Outcome-Weighted Memory (OWM) architecture, 5 memory types, recall scoring, and behavioral analysis. Use when recording trades, recalling similar contexts, analyzing performance, or checking behavioral drift. Triggers on "record trade", "remember trade", "recall", "similar…

mnemox-ai/tradememory-protocol

MCP server Claude CodeCodexCursor +2

Decision audit trail + persistent memory for AI trading agents. SHA-256 tamper detection, outcome-weighted recall, strategy evolution via MCP. Runs locally from the tradememory-protocol Python package.

mnemox-ai/idea-reality-mcp

MCP server Claude CodeCodexCursor +2

Pre-build reality check for AI coding agents. Stop building what already exists. Runs locally from the idea-reality-mcp Python package. Needs 1 environment variable to run.

mnemox-ai/idea-reality-mcp

Cursor rule

Run ideacheck before starting any new project or feature to find existing competitors.

mnemox-ai/idea-reality-mcp

Skill Claude CodeCodex

Pre-build reality check. Scans GitHub, HN, npm, PyPI, and Stack Overflow for existing competitors before you build. Use when starting a new project, evaluating a side project idea, or doing a build-vs-buy decision.

mnemox-ai/idea-reality-mcp

MCP server Claude CodeCodexCursor +2

Pre-build reality check for AI coding agents. Stop building what already exists. Runs locally from the idea-reality-mcp Python package. Needs 2 environment variables to run.

mnemox-ai/AgentRelay

Skill Claude CodeCodex

AgentRelay is a verifiable microtask protocol for AI agents. It lets agents publish, discover, claim, execute, and submit structured microtasks through an MCP server or REST API. Every submission goes through an automated validation pipeline (schema check + rule check + scoring), with results recorded to a reward…

mnemox-ai/AgentRelay

Instructions file

Instructions for mnemox-ai/AgentRelay, covering agentrelay — claude code 指令, 專案概述, 架構（分層）, 開發規範 and tos 紅線.