Memory and retrieval tools for agents

Deep Lake database for multimodal AI and agent memory

Data and context layer for production AI agents

Open-source context retrieval for AI agents

Agent-native open-source data platform with built-in MCP tools

Knowledge graph RAG platform with 30+ live-sync connectors for AI agents

Graph-vector database and knowledge infrastructure for agents

Open-source multimodal lakehouse and vector database

Open-source Postgres vector search for AI applications

Stateful agents with persistent memory and portable identity

Universal memory layer for AI agents — persistent, personalized recall across sessions

A safe MCP layer between AI agents and PostgreSQL

Federated AI data layer for agents across enterprise sources

Real-time event-driven data connectors for agent context

Serverless Postgres with branching and scale-to-zero

Customer context layer for AI agents — every interaction, structured and queryable

Managed vector database for agent knowledge, retrieval, and memory

Open-source vector database and semantic memory for AI agents

All-in-one intelligent cloud provider — deploy anything without the complexity

Open-source Firebase alternative: Postgres, auth, storage, and realtime

Context and persistent memory infrastructure for AI agents

Managed ClickHouse for real-time analytics APIs — every endpoint becomes an MCP tool

Edge SQLite database that scales to millions of agents

Serverless Redis with REST API and global low-latency replication

Collaborative serverless JavaScript runtime for APIs, crons, and data

Managed vector database with hybrid search and native MCP

Context engineering platform with temporal knowledge graphs for agent memory

High-accuracy retrieval, reranking, and search APIs for agents

Managed Milvus vector database for scalable agent retrieval