by activeloopai · Codex Skill · ★ 9.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
| Stars | 9,119 |
| Forks | 709 |
| Language | C++ |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 37.75/100 |
| Open Issues | 67 |
| Last Updated | 2026-05-12 |
| Created | 2019-08-09 |
| Est. Tokens | ~10531k |
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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.
deeplake is primarily written in C++. It covers topics such as agent, agentic-rag, ai.
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 709 forks, indicating an active community.
deeplake is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to deeplake on Agent Skills Hub include OpenViking, MemOS, nexent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.