@n0mad-ai
基本信息
Persistent memory for any AI assistant — Claude, ChatGPT, Cursor — backed by your local Obsidian vault. One daemon, all your tools.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"bastra-recall": {
"command": "node",
"args": [
"/abs/path/to/bastra-recall/packages/daemon/dist/mcp-forwarder.js"
],
"env": {
"BASTRA_VAULT_PATH": "/abs/path/to/your/vault/memorys"
}
}
}
}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。
Bastra Recall is a persistent memory layer that works across multiple AI surfaces — Claude, ChatGPT, Cursor, and any tool that speaks MCP or HTTP. It runs as a single local daemon serving all AI tools at once, storing memories as plain markdown files with YAML frontmatter in an Obsidian-compatible vault.
Install the daemon locally and point it to a vault folder of markdown files. The server autonomously saves learned information and recalls relevant memories before actions via hooks like PreToolUse and SessionStart (Claude Code). No manual configuration steps beyond setup are described in the README.
Bastra Recall uses hybrid BM25 + vector search with the `recall_when` field as the highest-weighted trigger, providing much better recall semantics than approaches that embed everything.
All memories are stored locally in a user-specified folder of plain markdown files with YAML frontmatter. This vault is compatible with Obsidian and can be synced via iCloud, Google Drive, or Dropbox.
Bastra Recall runs as a single local daemon. The README does not specify a particular language runtime or dependency list, but it communicates over MCP and HTTP.
Yes, it is BYOK (bring your own key) and MIT licensed.
It supports both MCP (Model Context Protocol) and HTTP, allowing integration with any AI surface that speaks either protocol.
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