Features
Automatic memory classification (facts, preferences, rules, summaries)
Targeted recall across conversations and documents
Selective semantic search with token cost optimization
Explainable results with entity, time, and source provenance
Memory graph visualization of relationships
Observability dashboard (memory creation, recall usage, cache hit rate)
LLM-agnostic (works with any model provider)
Drop-in SDK with zero configuration
SQL-native storage (BYODB or Memori Cloud)
Trace-native memory (captures agent execution)
Memory pooling and ReBAC access control
Tokenless recall with cached snippets
Hermes Agent integration for persistent memory
Web crawling and scraping API with Rust engine
AI Studio for natural language crawling (add-on $6/mo)
Browser AI commands via WebSocket: Act, Extract, Observe
Silk custom AI model for extraction and captcha solving
Browser Cloud with stealth anti-detection
Structured output: markdown, HTML, JSON, CSV, XML, plain text
Screenshot capture of pages
Link extraction from pages
Search endpoint for query-based data retrieval
Unblocker with rotating proxies and automatic retries
1,000+ ready-made scraper examples (32 categories)
Data connectors: S3, GCS, Google Sheets, Azure Blob, Supabase
Respects robots.txt (configurable)
Failed requests not billed
Open-source core available on GitHub
