npm install @supermemory/ai-sdk
# or
bun add @supermemory/ai-sdk
# or
pnpm add @supermemory/ai-sdk
# or
yarn add @supermemory/ai-sdk

import { generateText } from 'ai'

// Using a custom provider URL
const supermemoryOpenai = createOpenAI({
  baseUrl: 'https://api.supermemory.ai/v3/https://api.openai.com/v1',
  apiKey: 'your-provider-api-key',
  headers: {
    'x-supermemory-api-key': 'supermemory-api-key',
    'x-sm-conversation-id': 'conversation-id'
  }
})

const result = await generateText({
  model: supermemoryOpenai('gpt-5'),
  messages: [
    { role: 'user', content: 'Hello, how are you?' }
  ]
})

import { generateText } from 'ai'

const supermemoryApiKey = process.env.SUPERMEMORY_API_KEY!
const openaiApiKey = process.env.OPENAI_API_KEY!

// Initialize infinite chat provider
const supermemoryOpenai = createOpenAI({
  baseUrl: 'https://api.supermemory.ai/v3/https://api.openai.com/v1',
  apiKey: 'your-provider-api-key',
  headers: {
    'x-supermemory-api-key': 'supermemory-api-key',
    'x-sm-conversation-id': 'conversation-id'
  }
})

async function chat(userMessage: string) {
  const result = await generateText({
    model: supermemoryOpenai('gpt-5'),
    messages: [
      {
        role: 'system',
        content: 'You are a helpful assistant with unlimited context.'
      },
      {
        role: 'user',
        content: userMessage
      }
    ]
    // No tools - infinite chat handles context automatically
  })

  return result.text
}

// Option 1: Use a named provider
interface ConfigWithProviderName {
  providerName: 'openai' | 'anthropic' | 'openrouter' | 'deepinfra' | 'groq' | 'google' | 'cloudflare'
  providerApiKey: string
  headers?: Record<string, string>
}

// Option 2: Use a custom provider URL
interface ConfigWithProviderUrl {
  providerUrl: string
  providerApiKey: string
  headers?: Record<string, string>
}

import { supermemoryTools } from '@supermemory/ai-sdk'
import { generateText } from 'ai'

const result = await generateText({
  model: openai('gpt-5'),
  messages: [
    { role: 'user', content: 'What do you remember about my preferences?' }
  ],
  tools: {
    ...supermemoryTools('your-supermemory-api-key', {
  // Optional: specify a base URL for self-hosted instances
  baseUrl: 'https://api.supermemory.com',

  // Use either projectId OR containerTags, not both
  projectId: 'your-project-id',
  // OR
  containerTags: ['tag1', 'tag2']
}),
// Your other tools go here
  }
})

import { supermemoryTools } from '@supermemory/ai-sdk'
import { generateText } from 'ai'
import { openai } from '@ai-sdk/openai'

const supermemoryApiKey = process.env.SUPERMEMORY_API_KEY!

async function chatWithTools(userMessage: string) {
  const result = await generateText({
    model: openai('gpt-5'), // Use standard provider
    messages: [
      {
        role: 'system',
        content: 'You are a helpful assistant with access to user memories.'
      },
      {
        role: 'user',
        content: userMessage
      }
    ],
    tools: {
      ...supermemoryTools(supermemoryApiKey, {
        containerTags: ['my-user-id']
      })
    },
    maxToolRoundtrips: 5
  })

  return result.text
}

interface SupermemoryConfig {
  // Optional: Base URL for API calls (default: https://api.supermemory.com)
  baseUrl?: string

  // Container tags for organizing memories (cannot be used with projectId)
  containerTags?: string[]

  // Project ID for scoping memories (cannot be used with containerTags)
  projectId?: string
}

const tools = supermemoryTools('your-api-key', {
  baseUrl: 'https://your-supermemory-instance.com',
  containerTags: ['production', 'user-memories']
})

const searchResult = await tools.searchMemories.execute({
  informationToGet: 'user preferences about coffee'
})

const addResult = await tools.addMemory.execute({
  memory: 'User prefers dark roast coffee in the morning'
})

const fetchResult = await tools.fetchMemory.execute({
  memoryId: 'memory-id-123'
})

import {
  searchMemoriesTool,
  addMemoryTool,
  fetchMemoryTool
} from '@supermemory/ai-sdk'

const searchTool = searchMemoriesTool('your-api-key', {
  projectId: 'your-project-id'
})

// Use only the search tool
const result = await generateText({
  model: openai('gpt-5'),
  messages: [...],
  tools: {
    searchMemories: searchTool
  }
})

const result = await tools.searchMemories.execute({
  informationToGet: 'user preferences'
})

if (result.success) {
  console.log('Found memories:', result.results)
  console.log('Total count:', result.count)
} else {
  console.error('Error searching memories:', result.error)
}

# Run all tests
bun test

# Run tests in watch mode
bun test --watch

cp .env.example .env