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from $0.01 / 1,000 results
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
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Developer
Reuven Cohen
Actor stats
1
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1
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0
Monthly active users
2 days ago
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actionEnumRequired
Select the operation to perform on your memory database
"demo": string"store": string"search": string"get": string"list": string"delete": string"update": string"clear": string"stats": string"batch_search": string"hybrid_search": string"find_duplicates": string"deduplicate": string"chat": string"build_knowledge": string"recommend": string"analyze": string"feedback": string"export": string"import": string"integrate_synthetic": string"integrate_scraper": string"integrate_actor": string"integrate_trading": string"template": string"natural": string"cluster": string"export_vectordb": string"learn": stringDefault value of this property is "demo"
sessionIdstringOptional
Unique identifier to persist memories across multiple Actor runs. Use the same Session ID to continue where you left off. Leave empty for one-time runs.
namespacestringOptional
Organize memories into separate collections (like folders). Different namespaces are completely isolated.
Default value of this property is "default"
memoriesarrayOptional
Text content to store in memory. Each item becomes a searchable memory with vector embeddings.
querystringOptional
What are you looking for? The engine uses semantic understanding to find relevant memories even with different wording.
queriesarrayOptional
Multiple search queries to run in parallel. Each query returns its own set of results.
memoryIdstringOptional
Unique identifier of a specific memory for get/delete/update operations
updatesobjectOptional
Fields to update on a memory. You can update text, metadata, or both.
metadataFilterobjectOptional
Filter memories by metadata fields. Only memories matching ALL specified fields are affected.
topKintegerOptional
Maximum number of similar memories to return
Default value of this property is 10
similarityThresholdnumberOptional
Minimum similarity score required. Higher values return more relevant but fewer results.
Default value of this property is 0.7
distanceMetricEnumOptional
Algorithm used to measure similarity between memory vectors
"cosine": string"euclidean": string"dot_product": string"manhattan": stringDefault value of this property is "cosine"
keywordWeightnumberOptional
Weight given to exact keyword matching in hybrid search. Set to 0 for pure semantic search.
Default value of this property is 0.3
semanticWeightnumberOptional
Weight given to semantic similarity in hybrid search. Set to 1 for pure semantic search.
Default value of this property is 0.7
limitintegerOptional
Maximum number of memories to return when listing
Default value of this property is 100
offsetintegerOptional
Number of memories to skip for pagination (e.g., offset=100 starts at the 101st result)
Default value of this property is 0
sortByEnumOptional
Field to sort list results by
"createdAt": string"updatedAt": string"accessCount": stringDefault value of this property is "createdAt"
sortOrderEnumOptional
Sort direction for list results
"asc": string"desc": stringDefault value of this property is "desc"
duplicateThresholdnumberOptional
How similar memories must be to be considered duplicates. 0.95 = very similar, 1.0 = exact match.
Default value of this property is 0.95
chatMessagestringOptional
Your message to the AI assistant. The assistant will use stored memories to provide context-aware responses.
chatHistoryarrayOptional
Previous messages in the conversation for context. Each message has a 'role' (user/assistant) and 'content'.
providerEnumOptional
Which AI service to use for chat and advanced features
"gemini": string"openrouter": string"local": stringDefault value of this property is "gemini"
apiKeystringOptional
Your API key for the selected provider. Get free Gemini key at ai.google.dev
modelEnumOptional
Which language model to use for chat and generation
"gemini-2.0-flash-exp": string"gemini-2.0-flash-thinking-exp": string"gemini-1.5-pro": string"openai/gpt-4o": string"openai/gpt-4o-mini": string"anthropic/claude-3.5-sonnet": string"meta-llama/llama-3.3-70b-instruct": stringDefault value of this property is "gemini-2.0-flash-exp"
sonaEnabledbooleanOptional
SONA (Self-Optimizing Neural Architecture) continuously improves search quality based on usage patterns
Default value of this property is true
learningEnabledbooleanOptional
Learn from search queries and feedback to improve future results
Default value of this property is true
forceBackgroundLearningbooleanOptional
Run a SONA background learning cycle after this operation completes
Default value of this property is false
ewcLambdanumberOptional
How strongly to prevent forgetting old patterns when learning new ones. Higher = more conservative learning.
Default value of this property is 2000
patternThresholdnumberOptional
Minimum confidence required to learn a new pattern. Higher = only learn strong patterns.
Default value of this property is 0.85
knowledgeGraphEnabledbooleanOptional
Automatically extract entities and relationships from stored memories to build a knowledge graph
Default value of this property is false
feedbackRatingintegerOptional
Rate the quality of a search result or recommendation to help SONA learn (5 = perfect, 1 = irrelevant)
Default value of this property is 5
feedbackCorrectionstringOptional
If a memory is incorrect, provide the correct text here. SONA will learn from this correction.
exportFormatEnumOptional
File format for exporting your memory database
"json": string"csv": string"embeddings": stringDefault value of this property is "json"
vectorDbFormatEnumOptional
Export in a format compatible with popular vector databases
"pinecone": string"weaviate": string"chromadb": string"qdrant": string"langchain": string"openai": stringDefault value of this property is "pinecone"
importDataobjectOptional
JSON data to import into memory. Should contain an array of memories with text and optional metadata.
actorIdEnumOptional
Select a popular actor or enter any Apify actor ID (owner/actor-name)
"apify/google-maps-scraper": string"apify/yelp-scraper": string"apify/tripadvisor-scraper": string"apify/instagram-scraper": string"apify/twitter-scraper": string"apify/tiktok-scraper": string"apify/reddit-scraper": string"apify/facebook-scraper": string"apify/linkedin-scraper": string"apify/youtube-scraper": string"apify/amazon-scraper": string"apify/shopify-scraper": string"apify/ebay-scraper": string"apify/walmart-scraper": string"apify/booking-scraper": string"apify/airbnb-scraper": string"apify/expedia-scraper": string"apify/glassdoor-scraper": string"apify/indeed-scraper": string"apify/crunchbase-scraper": string"apify/google-search-scraper": string"apify/news-scraper": string"apify/rss-feed-scraper": string"apify/zillow-scraper": string"apify/realtor-scraper": string"ruv/ai-synthetic-data-generator": string"ruv/neural-trader-system": string"custom": stringDefault value of this property is "apify/google-maps-scraper"
customActorIdstringOptional
Enter the full actor ID (e.g., username/actor-name) when using 'Custom Actor' option
actorCategoryEnumOptional
Filter actors by category to find the right one faster
"all": string"local": string"social": string"ecommerce": string"travel": string"professional": string"content": string"realestate": string"data": stringDefault value of this property is "all"
actorRunModeEnumOptional
Where to get the actor's data from
"latest": string"specific": string"fresh": string"dataset": string"discovery": stringDefault value of this property is "latest"
actorDatasetIdstringOptional
Dataset ID to fetch data from (when using 'Dataset Only' mode)
actorTimeoutintegerOptional
Maximum wait time for fresh actor runs (in seconds). Longer timeouts allow more data but cost more.
Default value of this property is 120
actorMemoryLimitintegerOptional
Memory allocation for fresh actor runs (higher = faster but costs more)
Default value of this property is 1024
integrationConfigobjectOptional
Settings for generating and memorizing synthetic test data
tradingSymbolsarrayOptional
Crypto/stock symbols to analyze and generate trading signals for
tradingStrategyEnumOptional
Neural network strategy to use for signal generation
"ensemble": string"neural_momentum": string"lstm_prediction": string"transformer_attention": string"reinforcement": stringDefault value of this property is "ensemble"
memorizeSignalsbooleanOptional
Save generated trading signals as searchable memories for later analysis
Default value of this property is true
memorizeMarketDatabooleanOptional
Also store market data (price, volume, indicators) alongside signals
Default value of this property is false
signalConfidenceThresholdintegerOptional
Minimum confidence level required to store a signal (0-100). Higher = only store high-conviction signals.
Default value of this property is 70
searchTradingHistorybooleanOptional
Instead of generating new signals, search existing trading memories
Default value of this property is false
tradingHistoryQuerystringOptional
Search query for finding relevant trading signals and market data in memory
tradingActorConfigobjectOptional
Advanced configuration for the Neural Trader System actor
templateEnumOptional
Load a pre-built memory template optimized for specific use cases
"lead-intelligence": string"customer-support": string"research-assistant": string"competitor-intelligence": string"content-library": string"product-catalog": stringcommandstringOptional
Tell the AI what you want in plain English. Examples: 'remember that John prefers email', 'what do you know about customers', 'find similar products'
numClustersintegerOptional
How many groups to organize your memories into based on similarity
Default value of this property is 5