Graphlit

Graphlit belongs in the database because it captures a category that is becoming increasingly important in agentic systems: context infrastructure. The official docs position Graphlit as the context layer for AI agents, offering ingestion from many sources, extraction pipelines, storage, semantic search, knowledge graphs, and temporal context through one API. That matters because Graphlit is not just another vector database wrapper or chat-with-your-docs tool. It is trying to be the infrastructure layer that gives agents operational memory and context across organizational systems.

It also deserves inclusion because the pricing is public and practical enough to compare. The official docs describe a free tier with 100 credits, then Hobby at $49/month plus usage, Starter at $199/month plus usage, Growth at $999/month plus usage, and Enterprise as custom pricing. That makes Graphlit a strong entry for teams deciding whether they want to assemble ingestion, extraction, graph, retrieval, and search systems by hand or buy the context layer as a platform.