What MCP servers or AI tools does Strata integrate with?
Strata works with any MCP‑compatible AI, including Claude Code, Codex CLI, and other tools that support the Model Context Protocol.
Strata MCP Server
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基本信息
关于 Strata MCP Server
Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware.
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连接前先了解
文档核对日期：2026-10-25
适合什么场景
STRATA 是自托管记忆项目，但 README 已声明其被 SOLUM 接替。新用户应先评估后继项目，再决定是否新建 STRATA 部署。
配置与限制
当前开发请查看上游链接的 SOLUM。现有用户迁移存储前先备份记忆并核对迁移要求。私人部署不要复用公开演示设置：README 明确说明 demo 模式允许空控制台密码。
本说明依据所列文档核对，未代表通过账户认证的实际连接测试；建议检查项需要在你的环境执行。
Strata MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"strata": {
"type": "http",
"url": "http://YOUR_HOST:4320/mcp",
"headers": {
"X-API-Key": "YOUR_AGENT_KEY"
}
}
}
}Strata MCP Server 工具
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。
点击上方按钮,直接连接服务器端点实时获取工具列表。
概览
What is Strata?
Strata is a self‑hosted AI memory server that gives any MCP‑compatible AI agent persistent, long‑term memory on your own hardware. It stores thoughts as vector embeddings, provides semantic search, a file vault, and a 3D constellation viewer — and runs on a Raspberry Pi.
How to use Strata?
Clone the repository, create a Python virtual environment, install dependencies (pip install -r requirements.txt), and run python server.py. The web dashboard is accessible at http://localhost:4320/dashboard. Per‑agent API keys can be managed from /admin/agents, and the server can be configured with environment variables such as STRATA_DEMO_MODE=true for a quick demo.
Key features of Strata
- Semantic search by meaning, not keywords.
- File vault with attached source files.
- Per‑agent API keys with granular permissions.
- PostgreSQL pgvector backend for production scale.
- 3D Constellation viewer with live activity.
- Optional AES‑256 encryption at rest.
Use cases of Strata
- Provide persistent memory for AI coding assistants like Claude Code.
- Self‑host a personal knowledge base with semantic recall.
- Audit and trace AI agent actions with daily CSV logs.
- Attach files to thoughts for project context retrieval.
- Run entirely on low‑power hardware like a Raspberry Pi 4B.
常见问题
Does Strata run on a Raspberry Pi?
Yes, the entire system — semantic search, file storage, and embeddings — runs on a Raspberry Pi 4B with 4 GB of RAM.
Where is my data stored?
Data is stored locally in a SQLite or PostgreSQL database (with optional pgvector). You can also enable AES‑256 encryption at rest via SQLCipher.
What are the main dependencies?
Strata requires Python, ONNX Runtime, FastEmbed, and optionally PostgreSQL 17 with pgvector for production deployments. Initial install downloads about 700 MB of binary wheels.
How do agents authenticate?
Each agent receives a unique API key with granular read/write/delete/admin/kill permissions, managed from the `/admin/agents` panel. A global MCP kill switch can lock all agents out instantly.
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