tradememory-protocol vs swarmclaw
tradememory-protocol: TradeMemory Protocol provides a persistent memory layer for trading agents, enabling them to recall past trades with context, discover patterns, and evolve strategies autonomously. It features outcome-weighted recall, cognitive memory architecture, and an evolution engine for strategy discovery. Available as an MCP server for integration with Claude and other agents.; swarmclaw: SwarmClaw is a self-hosted AI runtime for autonomous agents, supporting multiple providers and MCP-native integration. It enables agent orchestration with memory, delegation, schedules, and skill learning, featuring a rich set of built-in integrations and deployment options.
TL;DR
- Your trading agent can already execute and you want it to remember each trade with its reasoning, regime and outcome.
- You want recalled patterns weighted by outcome, with confidence, sample size and out-of-sample checks.
- You trade forex on MT5 and want trade sync.
- You take the Sharpe 3.84 result as a forecast: it is the project's own BTC backtest.
- You cannot afford LLM calls for the evolution engine, or the risk that it invents overfitted strategies.
- You are looking for an execution or broker tool: it is a memory layer.
Personal Assistant with memory and scheduling
Side-by-Side Comparison
tradememory-protocolswarmclawFeatures
tradememory-protocolswarmclawUse Cases
tradememory-protocolswarmclawFAQ
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