deeplake

by activeloopai · Codex Skill · ★ 9.1k

About deeplake

Deep Lake: Database for AI Docs &bull; Get Started &bull; API Reference &bull; LangChain & VectorDBs Course &bull; Blog &bull; Whitepaper &bull; Slack &bull; <a

agentagentic-ragaiclawbotcomputer-visiondatalakedeep-learningfilesystemlarge-language-modelsllm

Quick Facts

Stars9,131
Forks710
LanguageC++
CategoryCodex Skill
LicenseApache-2.0
Quality Score44.8/100
Open Issues67
Last Updated2026-05-21
Created2019-08-09
Est. Tokens~10536k

Compatible Skills

These tools work well together with deeplake for enhanced workflows:

  • zvec — semantic(0.19)+complementary+same_lang+similar_pop (47%)
  • vllm-mlx — semantic(0.19)+complementary+rare_topics+similar_pop (46%)
  • UI-TARS-desktop — semantic(0.17)+complementary+rare_topics+similar_pop (45%)
  • dbhub — semantic(0.16)+complementary+rare_topics+similar_pop (45%)

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular C++ Agent Tools

Frequently Asked Questions

What is deeplake?

deeplake is Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.. It is categorized as a Codex Skill with 9.1k GitHub stars.

What programming language is deeplake written in?

deeplake is primarily written in C++. It covers topics such as agent, agentic-rag, ai.

How do I install or use deeplake?

You can find installation instructions and usage details in the deeplake GitHub repository at github.com/activeloopai/deeplake. The project has 9.1k stars and 710 forks, indicating an active community.

What license does deeplake use?

deeplake is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

View on GitHub → Browse Codex Skill tools