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MemoryGraphlit

Graphlit

One API for AI agent memory: ingest, extract, store, retrieve.

Category
Memory
Pricing
FREEMIUM
Source
Proprietary
Hosting
Cloud
Platforms
APIWeb
Models
Multi-model
Verified
Jun 9, 2026

A cloud-native platform that gives AI agents semantic memory and operational context through a single API. It ingests documents, audio, video, and web pages, extracts entities and relationships, and handles storage and retrieval so you don't assemble the RAG pipeline yourself. Integrates with frontier models from OpenAI, Anthropic, and Google for extraction.

Capabilities 6

What it actually does — grouped by capability family.

  • Agent memory (primary capability)
  • RAG pipeline (primary capability)
  • Knowledge graph (secondary capability)
  • Vector search (secondary capability)
  • Document parsing (structured) (secondary capability)
  • Transcription (STT) (secondary capability)

Pros & cons

  • One API for ingest, extract, store, retrieve
  • Multimodal (docs, audio, video, images)
  • Graph-based entity linking + hybrid search
  • Event-driven webhooks for reactive agents
  • More infra/overhead than plain RAG
  • Overkill for simple doc Q&A
  • Cloud-only managed service
  • Graph/timeline modeling adds complexity

Tags

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Open Graphlit