人工智能代理的语义记忆。本地优先，MCP原生。

将向量搜索、关系图和访问追踪结合为统一的内存智能层——所有功能本地以单一二进制形式运行。

为什么是沉积物？

• 单一二进制，零配置 — 没有Docker，没有Postgres，没有Qdrant。只有sediment。
• 50毫秒存储，103毫秒回溯 — 在1K条项下进行局部嵌入和向量搜索，无网络往返。
• 4工具聚焦API — store、recall、list、forget。仅此而已。
• 无处不在 — macOS（Intel + ARM），Linux x86_64。所有数据都保存在你的机器上。

比较

安装

布置

向你的MCP客户端配置添加沉积物：

克劳德桌面

加到~/Library/Application Support/Claude/claude_desktop_config.json：

克劳德·科德

在你的项目中运行sediment init，或者手动添加到“~/”。

Sediment

Semantic memory for AI agents. Local-first, MCP-native.

Combines vector search, a relationship graph, and access tracking into a unified memory intelligence layer — all running locally as a single binary.

Why Sediment?

• Single binary, zero config — no Docker, no Postgres, no Qdrant. Just sediment.
• 50ms store, 103ms recall — local embeddings and vector search at 1K items, no network round-trips.
• 4-tool focused API — store, recall, list, forget. That’s it.
• Works everywhere — macOS (Intel + ARM), Linux x86_64. All data stays on your machine.

Comparison

Install

# Via crates.io
cargo install sediment-mcp

# Via Homebrew
brew tap rendro/tap
brew install sediment

# Via shell installer
curl -fsSL https://raw.githubusercontent.com/rendro/sediment/main/install.sh | sh

# From source
cargo install --path .

Setup

Add Sediment to your MCP client configuration:

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "sediment": {
      "command": "sediment"
    }
  }
}

Claude Code

Run sediment init in your project, or add manually to ~/.claude/settings.json:

{
  "mcpServers": {
    "sediment": {
      "command": "sediment"
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "sediment": {
      "command": "sediment"
    }
  }
}

VS Code (Copilot)

Add to .vscode/mcp.json in your project:

{
  "servers": {
    "sediment": {
      "command": "sediment"
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "sediment": {
      "command": "sediment"
    }
  }
}

JetBrains IDEs

Go to Settings > Tools > AI Assistant > MCP Servers, click +, and add:

{
  "sediment": {
    "command": "sediment"
  }
}

Zed

Add to ~/.zed/settings.json on macOS or ~/.config/zed/settings.json on Linux:

{
  "context_servers": {
    "sediment": {
      "command": "sediment",
      "args": [],
    }
  }
}

Tools