An MCP server that provides persistent memory for AI assistants by automatically recording and injecting project-specific rules, decisions, and configurations through session hooks. It utilizes Gemini to analyze conversations, manage token-efficient context, and perform autonomous background tasks like documentation updates.
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Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
When Vitest UI server is listening, arbitrary file can be read and executed
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
process.env. You'll be asked to provide them before it can run.ANTHROPIC_API_KEY— =your-key-hereGEMINI_API_KEY— your-key-hereLLM_MODEL— No Override the default model for your providerLLM_PROVIDER— No gemini (default), openai, or anthropicLOG_RETENTION_DAYS— No Log retention period in days (default: 30)MAX_ENTRIES_PER_CATEGORY— No Entry limit per category before auto-archiving (default: 100)MEMORY_DIR— No Memory directory (default: .wasurenagusa)OPENAI_API_KEY— =your-key-hereSLACK_WEBHOOK_URL— No Slack notifications for autonomous tasksWASURENAGUSA_SCHEDULER[](https://m8ven.ai/mcp/tsutushi0628-wasurenagusa-mcp-1maeir)