What are the system requirements?
Docker 20.10+, Python 3.11+, and the latest version of Claude Desktop are required.
@okamyuji
基本信息
🧠 Automated AI conversation recording and knowledge management system with MCP integration for Claude Desktop, VSCode, and Cursor
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"conversation-system": {
"command": "docker",
"args": [
"--version",
"#",
"Docker",
"20.10+"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
It is a production-ready conversation management and knowledge utilization system that integrates Claude Desktop with MCP (Model Context Protocol), Redis, and Docker. It automatically records conversations from any MCP-compatible application and applies a five-level data utilization strategy to compound knowledge and improve productivity.
Set up the environment with Docker 20.10+, Python 3.11+, and the latest Claude Desktop. Run ./scripts/start.sh to launch the system, then use the command "この会話を記録して" in Claude Desktop to auto-save conversations. Leverage knowledge manager scripts (e.g., ./scripts/knowledge_manager.sh morning) for daily insights, and access the REST API or MCP tools for custom workflows.
Docker 20.10+, Python 3.11+, and the latest version of Claude Desktop are required.
Run `./scripts/start.sh` from the project root to initialize containers and dependencies.
In Claude Desktop, say "この会話を記録して" or use one of the five MCP tools like `record_current_conversation` or `save_conversation_message`.
Key endpoints include `POST /messages`, `POST /context`, `POST /search`, `GET /health`, and `GET /analytics`.
Set up the provided aliases and cron jobs (see `./scripts/aliases.sh` and `./scripts/cron_setup.txt`) to run scripts like morning briefing or weekly analysis on schedule.
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