AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
翻译准备中
Local-first 🧠 memory for Hermes Agent that lives in your Obsidian vault and remembers project context. Nightly 😴 dream passes turn repeat corrections into confirmed preferences with measurable confidence. Adapters ship for Claude Code, Codex, and OpenClaw, with an MCP server for anything else.
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
An Obsidian-native memory layer for your AI agent. Plain Markdown you own, in the same vault you already use.
Open Second Brain plugs into Hermes Agent and turns your Obsidian vault into a memory layer the agent reads and writes through deterministic CLI / MCP tools. Preferences, signals, evidence, and audit trails are real .md files under Brain/ in the vault you already open in Obsidian every day. You can grep them, version them with git, search them in Obsidian, edit them by hand. No daemon, no vector black box, no hidden state outside the vault.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
An Obsidian-native memory layer for your AI agent. Plain Markdown you own, in the same vault you already use.
Open Second Brain plugs into Hermes Agent and turns your Obsidian vault into a memory layer the agent reads and writes through deterministic CLI / MCP tools. Preferences, signals, evidence, and audit trails are real .md files under Brain/ in the vault you already open in Obsidian every day. You can grep them, version them with git, search them in Obsidian, edit them by hand. No daemon, no vector black box, no hidden state outside the vault.查看完整 README ↗