Ai Memory Actor Apify RAG
Pricing
from $0.01 / 1,000 results
this actor work as a session tool for the AI viber coder IDE such as claude or antigravity what it does just connect the mcp of apify and then store your last session every new session the Ai will remember by recalling the last session also can recall other ai ide last session
You can access the Ai Memory Actor Apify RAG 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 API & Integrations 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 "action": "stats",10 "memoryStoreId": "demo-user~apify-mcp-project",11 "url": "https://docs.apify.com/integrations/mcp",12 "content": "This is a test memory saved during automated QA validation.",13}14
15# Run the Actor and wait for it to finish16run = client.actor("charmed_magnolia/ai-memory-actor-apify").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 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 Actor Apify RAG API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: