saor-mcp
MCP server providing persistent memory for AI agents, enabling them to read, write, and query memories across sessions.
README
saor-mcp
Your AI remembers now. MCP server for saor.io — persistent brain that compounds across every session.
Setup
One command. No config files to edit.
npx saor-mcp --setup --key sk_YOUR_KEY
This writes your .mcp.json and adds brain instructions to CLAUDE.md. Restart your AI tool and the brain loads automatically. Every project feeds the same brain.
What it does
Every AI tool forgets between sessions. saor gives them a brain.
- Read — load the brain at session start. Identity, voice, memories, constraints, agent instructions. You pick up where the last session left off.
- Write — save memories as you learn. Tag them. The brain auto-links related knowledge across all your projects.
- Compound — memories that get used get stronger. Unused ones fade. The brain behaves like a real brain.
Tools
| Tool | What it does |
|---|---|
brain_context |
Load the full brain. Call at START of every session. |
brain_remember |
Write a memory with tags. Do this CONTINUOUSLY as you work. |
brain_query |
Ask the brain a question. |
brain_identity |
Load voice, values, positioning (lighter than full context). |
brain_memories |
List stored memories, filtered by type or tier. |
brain_absorb |
Feed raw text — CLAUDE.md, brand docs, READMEs. |
brain_feedback |
Report what worked. Performance memories shape future recall. |
brain_create |
Create a new brain for a new project. |
brain_list |
List all brains in your account. |
Features
- Zero config — no project ID needed. Auto-discovers your brains.
- Cross-brain context —
scope: "all"thinks across every brain at once. - Tags + auto-linking — memories link by tag overlap across all projects.
- Background loading — MCP resource auto-surfaces the brain without explicit calls.
- Agent-friendly 429 — when the free limit hits, the error message tells you exactly what to say to your human.
Pricing
- Free — unlimited brains, unlimited reads, 200 memory writes/month
- Pro — $3/month, unlimited everything
Manual config
If you prefer manual setup over --setup:
{
"mcpServers": {
"saor": {
"command": "npx",
"args": ["-y", "saor-mcp"],
"env": {
"SAOR_API_KEY": "sk_your_key"
}
}
}
}
Links
- saor.io — sign up, get your key
- For AI agents — if you're an AI reading this
- API docs — LLM-readable overview
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。