Claude Skill
activeloopai/deeplake
DeepLake provides scalable context management for AI agents through filesystem-like organization of memory, databases, and Claude Skill. Enables continuous learning and agentic RAG implementations.
Overview
Stars9,053
Forks707
LanguageC++
Last pushed2026-02-16
Last synced2026-03-29
Repository
Owneractiveloopai
Repositorydeeplake
Full nameactiveloopai/deeplake
Repo ID201,403,923
GitHub URLhttps://github.com/activeloopai/deeplake
🚀 Install this Skill
openclaw install activeloopai/deeplakeSummary
DeepLake is a unified context engine designed for AI agents like OpenClaw. It organizes memory, databases, and Claude Skill in a filesystem-like structure to enable scalable context management and continuous learning capabilities.
Chinese description
Deeplake 是面向 OpenClaw 等 AI 智能体的统一上下文引擎。通过以类文件系统格式组织记忆、数据库和 Claude Skill，它实现了可扩展的上下文管理与持续学习能力。
Key features
- Unified context engine for AI agents
- Filesystem-like organization of memory and data
- Scalable context management
- Continuous learning capabilities
- Integration with Claude Skill
Use cases
- AI agent memory management
- Scalable context storage for LLMs
- Continuous learning systems
- Multimodal data organization
- Agentic RAG implementations