开源MCP工具 是 AI Skill Hub 本期精选MCP工具之一。综合评分 7.5 分,整体质量较高。我们推荐使用将其纳入你的 AI 工具库,帮助提升工作效率。
本地优先的记忆工具,集成Obsidian,提升生产力
开源MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
本地优先的记忆工具,集成Obsidian,提升生产力
开源MCP工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/itechmeat/open-second-brain
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"--mcp--": {
"command": "npx",
"args": ["-y", "open-second-brain"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 开源MCP工具 执行以下任务... Claude: [自动调用 开源MCP工具 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"__mcp__": {
"command": "npx",
"args": ["-y", "open-second-brain"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效

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.
The capabilities you actually feel day to day:
| # | Feature | What it means for you |
|---|---|---|
| 1 | Your memory, in your Obsidian vault | Every rule the agent learns about you is a Markdown file you can open, read, and edit. Wikilinks, backlinks, and the graph view in Obsidian all work — no separate UI to learn. |
| 2 | dream - the agent learns what you actually want | The nightly dream pass turns repeat corrections into rules: three signals on the same topic graduate to a confirmed preference. Its confidence rises every time the agent applies the rule and drops when it slips. No LLM inside the algorithm - counters and atomic file moves, nothing else. |
| 3 | One brain, every agent | Hermes Agent, Claude Code, Codex, Cursor, Aider, opencode, kiro, Copilot CLI, Gemini CLI, Pi - they all read the same memory. Teach one of them a rule and the next one already knows. |
| 4 | Teach a rule in one line | Drop @osb feedback negative topic=... principle="..." into any note. Next time o2b brain scan-inline runs (or you call it manually) the marker becomes a real taste signal in Brain/inbox/ and the note gets a @osb✓ checkmark so re-runs skip it. |
| 5 | Look back at how your AI grew | The time axis surfaces how the agent's view of you evolved. o2b brain evolution walks a single preference's life from first signal to confirmed to retired; o2b brain daily / weekly summarise what changed; o2b brain stale flags rules nothing has applied in months. |
| 6 | Browse your memory as a graph | o2b brain explorer opens a force-directed HTML graph of every rule, every link, every retirement. Double-click a node — Obsidian opens the underlying note. |
| 7 | Undo the agent if it gets it wrong | Every Brain mutation lands a verified snapshot before touching anything. One command (o2b brain rollback <id>) restores yesterday's state, and drift detection refuses to clobber unintended local edits. |
| 8 | Pin, merge, retire by hand | When a rule is wrong, you fix it. o2b brain pin keeps a good one safe from auto-retire, merge folds duplicates, reject puts a bad rule in the bin with a reason. The CLI is the operator's seat. |
| 9 | Hybrid search that explains itself | o2b search "<query>" --property type=decision --property status=open — SQLite + FTS5 and an optional semantic layer, fused and then sharpened by a recall-quality suite: MMR diversity so near-duplicates do not crowd the top, link-graph traversal that surfaces notes one hop from a hit, entity-boosting for proper-noun precision, and header-anchored chunking so a mid-document chunk keeps its section context. Every result carries a why_retrieved breakdown of the layers that ranked it. |
| 10 | Pay Memory — audit every paid action | When the agent spends money (Solana-Foundation pay, third-party APIs) every receipt lands in Brain/payments/<date>/. Spending policy, approval gate, daily Telegram report. The agent never holds wallet keys. |
These are the headline capabilities. The full surface also includes: importing Claude Code memory directories, daily logging-discipline cron, cross-project pointers for shared vaults, the codegraph partner skill, vault hygiene lints, per-MOC coverage audit, concept synthesis, an operator dashboard, the v0.12.0 Brain Integrity Suite (content-hash drift detection, durable workrun checkpoints, destructive-from-confirmed retire gate, and the brain_review_candidates MCP tool that previews what the next dream pass would do without writing anything), the v0.13.0 Hybrid Search and Recall Quality suite (explainable recall, MMR diversity, link-graph traversal, entity-boosted retrieval, header-anchored chunking), and the v0.14.0 Semantic Brain Health and Self-Maintenance suite (cross-preference contradiction detection, concept-gap and stale-claim surfacing, per-preference edit-history, a clean/watch/investigate reconciliation verdict via brain_health, and dependency-ordered doctor --remediate). Browse docs/cli-reference.md for every verb and docs/how-it-works.md for the mental model.
hermes plugins install itechmeat/open-second-brain --enable hermes gateway restart
o2b uninstall # print plan (read-only)
o2b uninstall --apply-local --remove-cli # remove local state and symlinks
Your vault is never touched by the uninstall flow. Delete it yourself with normal filesystem tools if you want to.
The simplest path - let your agent set it up. Paste this into Hermes (or whichever AI agent already has shell access on the target machine):
Install Open Second Brain for me by following the steps at <https://github.com/itechmeat/open-second-brain/blob/main/install/hermes.md>. My vault is at /path/to/your-vault.
The agent reads the install doc, runs every command, and verifies the result. That's it.
If you prefer running the steps yourself:
```bash
高质量的开源MCP工具,值得关注
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。
经综合评估,开源MCP工具 在MCP工具赛道中表现稳健,质量良好。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。
| 原始名称 | open-second-brain |
| 原始描述 | 开源MCP工具:Local-first 🧠 memory for Hermes Agent that lives in your Obsidian vault and rem。⭐8 · TypeScript |
| Topics | mcptypescriptobsidian |
| GitHub | https://github.com/itechmeat/open-second-brain |
| License | MIT |
| 语言 | TypeScript |
收录时间:2026-05-26 · 更新时间:2026-05-30 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端