activeloopai/deeplake

Summary

DeepLake is an AI Data Runtime for agents, offering a serverless Postgres-based multimodal datalake that enables scalable retrieval, training, and context management for AI agents like OpenClaw.

Key features

• Serverless Postgres with multimodal datalake
• Scalable retrieval and training for AI agents
• File-system-like memory and context organization
• Supports agentic RAG and continuous learning
• Integrates with PyTorch, LLMs, and vector databases

Use cases

• Building agentic RAG pipelines for LLMs
• Managing multimodal memory for AI agents
• Scalable training data storage for deep learning
• Context management for OpenClaw and similar agents
• Serverless vector database for retrieval-augmented generation

Topics