# @supermemory/tools

Memory tools for AI SDK and OpenAI function calling with supermemory.

This package provides supermemory tools for both AI SDK and OpenAI function calling through dedicated submodule exports, each with function-based architectures optimized for their respective use cases.

## Installation

```bash
npm install @supermemory/tools
# or
bun add @supermemory/tools
# or
pnpm add @supermemory/tools
# or
yarn add @supermemory/tools
```

## Usage

The package provides two submodule imports:
- `@supermemory/tools/ai-sdk` - For use with the AI SDK framework
- `@supermemory/tools/openai` - For use with OpenAI's function calling

### AI SDK Usage

```typescript
import { supermemoryTools, searchMemoriesTool, addMemoryTool } from "@supermemory/tools/ai-sdk"
import { createOpenAI } from "@ai-sdk/openai"
import { generateText } from "ai"

const openai = createOpenAI({
  apiKey: process.env.OPENAI_API_KEY!,
})

// Create all tools
const tools = supermemoryTools(process.env.SUPERMEMORY_API_KEY!, {
  projectId: "your-project-id",
})

// Use with AI SDK
const result = await generateText({
  model: openai("gpt-4"),
  messages: [
    {
      role: "user",
      content: "What do you remember about my preferences?",
    },
  ],
  tools,
})

// Or create individual tools
const searchTool = searchMemoriesTool(process.env.SUPERMEMORY_API_KEY!, {
  projectId: "your-project-id",
})

const addTool = addMemoryTool(process.env.SUPERMEMORY_API_KEY!, {
  projectId: "your-project-id",
})
```

### OpenAI Function Calling Usage

```typescript
import { supermemoryTools, getToolDefinitions, createToolCallExecutor } from "@supermemory/tools/openai"
import OpenAI from "openai"

const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY!,
})

// Get tool definitions for OpenAI
const toolDefinitions = getToolDefinitions()

// Create tool executor
const executeToolCall = createToolCallExecutor(process.env.SUPERMEMORY_API_KEY!, {
  projectId: "your-project-id",
})

// Use with OpenAI Chat Completions
const completion = await client.chat.completions.create({
  model: "gpt-4",
  messages: [
    {
      role: "user",
      content: "What do you remember about my preferences?",
    },
  ],
  tools: toolDefinitions,
})

// Execute tool calls if any
if (completion.choices[0]?.message.tool_calls) {
  for (const toolCall of completion.choices[0].message.tool_calls) {
    const result = await executeToolCall(toolCall)
    console.log(result)
  }
}

// Or create individual function-based tools
const tools = supermemoryTools(process.env.SUPERMEMORY_API_KEY!, {
  projectId: "your-project-id",
})

const searchResult = await tools.searchMemories({
  informationToGet: "user preferences",
  limit: 10,
})

const addResult = await tools.addMemory({
  memory: "User prefers dark roast coffee",
})
```

## Configuration

Both modules accept the same configuration interface:

```typescript
interface SupermemoryToolsConfig {
  baseUrl?: string
  containerTags?: string[]
  projectId?: string
}
```

- **baseUrl**: Custom base URL for the supermemory API
- **containerTags**: Array of custom container tags (mutually exclusive with projectId)
- **projectId**: Project ID which gets converted to container tag format (mutually exclusive with containerTags)

## Available Tools

### Search Memories
Searches through stored memories based on a query string.

**Parameters:**
- `informationToGet` (string): Terms to search for
- `includeFullDocs` (boolean, optional): Whether to include full document content (default: true)
- `limit` (number, optional): Maximum number of results (default: 10)

### Add Memory
Adds a new memory to the system.

**Parameters:**
- `memory` (string): The content to remember



## Claude Memory Tool

Enable Claude to store and retrieve persistent memory across conversations using supermemory as the backend.

### Installation

```bash
npm install @supermemory/tools @anthropic-ai/sdk
```

### Basic Usage

```typescript
import Anthropic from '@anthropic-ai/sdk'
import { createClaudeMemoryTool } from '@supermemory/tools/claude-memory'

const anthropic = new Anthropic({
  apiKey: process.env.ANTHROPIC_API_KEY!,
})

const memoryTool = createClaudeMemoryTool(process.env.SUPERMEMORY_API_KEY!, {
  projectId: 'my-app',
})

async function chatWithMemory(userMessage: string) {
  // Send message to Claude with memory tool
  const response = await anthropic.beta.messages.create({
    model: 'claude-sonnet-4-5',
    max_tokens: 2048,
    messages: [{ role: 'user', content: userMessage }],
    tools: [{ type: 'memory_20250818', name: 'memory' }],
    betas: ['context-management-2025-06-27'],
  })

  // Handle any memory tool calls
  const toolResults = []
  for (const block of response.content) {
    if (block.type === 'tool_use' && block.name === 'memory') {
      const toolResult = await memoryTool.handleCommandForToolResult(
        block.input,
        block.id
      )
      toolResults.push(toolResult)
    }
  }

  return response
}

// Example usage
const response = await chatWithMemory(
  "Remember that I prefer React with TypeScript for my projects"
)
```

### Memory Operations

Claude can perform these memory operations automatically:

- **`view`** - List memory directory contents or read specific files
- **`create`** - Create new memory files with content
- **`str_replace`** - Find and replace text within memory files
- **`insert`** - Insert text at specific line numbers
- **`delete`** - Delete memory files
- **`rename`** - Rename or move memory files

All memory files are stored in supermemory with normalized paths and can be searched and retrieved across conversations.

## Environment Variables

```env
SUPERMEMORY_API_KEY=your_supermemory_api_key
ANTHROPIC_API_KEY=your_anthropic_api_key  # for Claude Memory Tool
SUPERMEMORY_BASE_URL=https://your-custom-url  # optional
```