Pricing
Pay per usage
Persistent memory for AI agents via knowledge graph. Store entities, relations, and observations that persist across sessions. MCP-compatible.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Quadruped
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
Categories
Share
You can access the Memory Mcp Server 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.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "entities": "[{\"name\": \"John\", \"entityType\": \"person\", \"observations\": [\"Works at Acme Corp\", \"Lives in NYC\"]}]",12 "relations": "[{\"from\": \"John\", \"to\": \"Acme Corp\", \"relationType\": \"works_at\"}]",13 "observations": "[\"New observation 1\", \"New observation 2\"]",14 "entityNames": "[\"John\", \"Acme Corp\"]"15};16
17// Run the Actor and wait for it to finish18const run = await client.actor("constant_quadruped/memory-mcp-server").call(input);19
20// Fetch and print Actor results from the run's dataset (if any)21console.log('Results from dataset');22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);23const { items } = await client.dataset(run.defaultDatasetId).listItems();24items.forEach((item) => {25 console.dir(item);26});27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsThe Apify API client for JavaScript is the official library that allows you to use Memory Mcp Server API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include: