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Give your AI persistent memory. Store conversations, search semantically, build knowledge graphs, and watch your AI get smarter with every interaction.
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from $0.01 / 1,000 results
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Reuven Cohen
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You can access the Ai Memory Engine programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "sessionId": "my-project",10 "memories": [11 {12 "text": "The customer prefers fast shipping over lower prices",13 "metadata": {14 "type": "preference",15 "customer_id": "123",16 },17 },18 {19 "text": "Product X works best with Product Y for home automation",20 "metadata": {21 "type": "knowledge",22 "category": "products",23 },24 },25 {26 "text": "User asked about return policy on December 10th",27 "metadata": {28 "type": "conversation",29 "date": "2024-12-10",30 },31 },32 ],33 "query": "What does the customer prefer?",34 "queries": [35 "What does the customer prefer?",36 "Product recommendations",37 "Support history",38 ],39 "memoryIds": [40 "mem_123",41 "mem_456",42 ],43 "updates": {44 "text": "Updated memory text",45 "metadata": {46 "updated": True,47 "version": 2,48 },49 },50 "metadataFilter": { "type": "preference" },51 "chatMessage": "What products would you recommend based on my preferences?",52 "chatHistory": [53 {54 "role": "user",55 "content": "What products do you recommend?",56 },57 {58 "role": "assistant",59 "content": "Based on your preferences, I recommend Product X.",60 },61 ],62 "importData": { "memories": [{63 "text": "Sample memory to import",64 "metadata": { "source": "import" },65 }] },66 "actorInput": {67 "searchStrings": ["coffee shops in NYC"],68 "maxResults": 50,69 },70 "actorConfig": {71 "memorizeFields": [72 "title",73 "description",74 "address",75 "rating",76 ],77 "limit": 100,78 "skipDuplicates": True,79 "enrichWithMetadata": True,80 },81 "integrationConfig": {82 "syntheticDataActor": "ruv/ai-synthetic-data-generator",83 "dataType": "ecommerce",84 "count": 100,85 "memorizeFields": [86 "title",87 "description",88 "category",89 ],90 },91 "scraperConfig": {92 "urls": ["https://example.com/docs"],93 "selector": "article",94 "maxPages": 10,95 },96 "tradingSymbols": [97 "BTC",98 "ETH",99 "SOL",100 ],101 "tradingHistoryQuery": "high confidence BUY signals for BTC",102 "tradingActorConfig": {103 "actorId": "ruv/neural-trader-system",104 "action": "analyze",105 "riskProfile": "moderate",106 "memory": 2048,107 "timeout": 300,108 },109 "command": "what do you know about customers",110}111
112# Run the Actor and wait for it to finish113run = client.actor("ruv/ai-memory-engine").call(run_input=run_input)114
115# Fetch and print Actor results from the run's dataset (if there are any)116print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])117for item in client.dataset(run["defaultDatasetId"]).iterate_items():118 print(item)119
120# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Ai Memory Engine API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: