ChatSorter
ChatSorter is a layered memory API available on Web and API platforms that provides structured data…
- Who it's for
- Developers building chatbots or AI apps who need persistent user memory across sessions
- Use cases
- Add long-term memory to AI chatbots across sessions
- Reduce API token costs on long conversations
- Extract structured facts from user conversations automatically
- Alternative to
- Mem0SupermemoryLetta
- Pricing
- Platforms
- Web · API
About ChatSorter
ChatSorter is a layered memory API designed to turn conversations into structured, usable data. It works through three core layers: a short-term buffer that captures recent messages for immediate context, a semantic layer that condenses conversations into searchable summaries based on importance, and a fact extraction layer that pulls out, sorts, and stores key structured information like preferences, entities, and relationships with confidence scoring. It also supports custom RAG pipelines, vector database integrations, and ingestion of text and PDF data for handling external knowledge…
