Ai Memory Engine

Pricing

from $0.01 / 1,000 results

Ai Memory Engine

Give your AI persistent memory. Store conversations, search semantically, build knowledge graphs, and watch your AI get smarter with every interaction.

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

Reuven Cohen

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Agents

MCP servers

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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

# Set API token
$API_TOKEN=<YOUR_API_TOKEN>

# Prepare Actor input
$cat > input.json << 'EOF'
<{
<  "sessionId": "my-project",
<  "memories": [
<    {
<      "text": "The customer prefers fast shipping over lower prices",
<      "metadata": {
<        "type": "preference",
<        "customer_id": "123"
<      }
<    },
<    {
<      "text": "Product X works best with Product Y for home automation",
<      "metadata": {
<        "type": "knowledge",
<        "category": "products"
<      }
<    },
<    {
<      "text": "User asked about return policy on December 10th",
<      "metadata": {
<        "type": "conversation",
<        "date": "2024-12-10"
<      }
<    }
<  ],
<  "query": "What does the customer prefer?",
<  "queries": [
<    "What does the customer prefer?",
<    "Product recommendations",
<    "Support history"
<  ],
<  "memoryIds": [
<    "mem_123",
<    "mem_456"
<  ],
<  "updates": {
<    "text": "Updated memory text",
<    "metadata": {
<      "updated": true,
<      "version": 2
<    }
<  },
<  "metadataFilter": {
<    "type": "preference"
<  },
<  "chatMessage": "What products would you recommend based on my preferences?",
<  "chatHistory": [
<    {
<      "role": "user",
<      "content": "What products do you recommend?"
<    },
<    {
<      "role": "assistant",
<      "content": "Based on your preferences, I recommend Product X."
<    }
<  ],
<  "importData": {
<    "memories": [
<      {
<        "text": "Sample memory to import",
<        "metadata": {
<          "source": "import"
<        }
<      }
<    ]
<  },
<  "actorInput": {
<    "searchStrings": [
<      "coffee shops in NYC"
<    ],
<    "maxResults": 50
<  },
<  "actorConfig": {
<    "memorizeFields": [
<      "title",
<      "description",
<      "address",
<      "rating"
<    ],
<    "limit": 100,
<    "skipDuplicates": true,
<    "enrichWithMetadata": true
<  },
<  "integrationConfig": {
<    "syntheticDataActor": "ruv/ai-synthetic-data-generator",
<    "dataType": "ecommerce",
<    "count": 100,
<    "memorizeFields": [
<      "title",
<      "description",
<      "category"
<    ]
<  },
<  "scraperConfig": {
<    "urls": [
<      "https://example.com/docs"
<    ],
<    "selector": "article",
<    "maxPages": 10
<  },
<  "tradingSymbols": [
<    "BTC",
<    "ETH",
<    "SOL"
<  ],
<  "tradingHistoryQuery": "high confidence BUY signals for BTC",
<  "tradingActorConfig": {
<    "actorId": "ruv/neural-trader-system",
<    "action": "analyze",
<    "riskProfile": "moderate",
<    "memory": 2048,
<    "timeout": 300
<  },
<  "command": "what do you know about customers"
<}
<EOF

# Run the Actor using an HTTP API
# See the full API reference at https://docs.apify.com/api/v2
$curl "https://api.apify.com/v2/acts/ruv~ai-memory-engine/runs?token=$API_TOKEN" \
<  -X POST \
<  -d @input.json \
<  -H 'Content-Type: application/json'

Ai Memory Engine API

Below, you can find a list of relevant HTTP API endpoints for calling the Ai Memory Engine Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under Integrations in Apify Console. For details, see the API reference.

Run Actor

POST

https://api.apify.com/v2/acts/ruv~ai-memory-engine/runs?token=<YOUR_API_TOKEN>

Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation.

Run Actor synchronously and get dataset items

POST

https://api.apify.com/v2/acts/ruv~ai-memory-engine/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>

Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation.

Get Actor

GET

https://api.apify.com/v2/acts/ruv~ai-memory-engine?token=<YOUR_API_TOKEN>

For more information, please refer to our Get Actor API documentation.

Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Ai Memory Engine API programmatically via the Apify API.

You can choose from:

Ai Memory Engine API in Python

Ai Memory Engine API in JavaScript

Ai Memory Engine API through CLI

Ai Memory Engine OpenAPI definition

You can start Ai Memory Engine with the Apify API by sending an HTTP POST request to the Run Actorendpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Ai Memory Engine is identified within the API by its ID, which is the creator’s username and the name of the Actor.

When the Ai Memory Engine run finishes you can list the data from its default dataset(storage) via the API or you can preview the data directly on Apify Console.

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