mcp-memory-service and tradememory-protocol
The `mnemox-ai/tradememory-protocol` is an ecosystem sibling to `doobidoo/mcp-memory-service`, as it implements a specific use case—AI trading memory—as an MCP server, indicating it's a specialized application or extension of the MCP protocol facilitated by the `mcp-memory-service`.
About mcp-memory-service
doobidoo/mcp-memory-service
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
This service provides a shared, persistent memory for AI agents, allowing them to retain information and learn across different tasks and sessions. It takes in decisions and facts from various agents, organizing them into a knowledge graph. The output is fast, relevant context that helps agents make better decisions, suitable for anyone building or managing multi-agent AI systems, like AI solution architects or AI product managers.
About tradememory-protocol
mnemox-ai/tradememory-protocol
MCP server for AI trading memory — outcome-weighted cognitive memory with 10 tools, 399 tests.
This helps AI trading systems remember past trades, their outcomes, and the conditions surrounding them, preventing your trading AI from repeating mistakes and providing a clear, auditable history of its decisions. It takes market data and trading actions as input and produces a detailed memory record and pre-trade insights. Professional traders, quantitative analysts, and compliance officers can use this to enhance trading discipline and meet regulatory requirements.
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