Activeloop
Deep Lake, a multimodal database for AI that stores vectors, images, text and video so agents and RAG apps can search and retrieve them.
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Use cases
About Activeloop
Activeloop is listed in our memory & RAG category and is aimed at builders. Deep Lake, a multimodal database for AI that stores vectors, images, text and video so agents and RAG apps can search and retrieve them. Pricing, as the maker states it: Open source + cloud. Maturity: Mature. We last checked the official link on 2026-10-16.
What is Activeloop?
Activeloop makes Deep Lake, a database for AI built on a storage format optimized for deep learning. It stores data plus vectors, including embeddings, images, text and video, for LLM apps and RAG.
It is also used to manage datasets while training deep-learning models. A cloud offering is available.
Sources: the official README and our directory listing, checked 2026-10-18. Official site: activeloop.ai.
Who is Activeloop for?
Teams building RAG or multimodal AI apps and managing training datasets.
Activeloop at a glance
- Open source: Yes (Apache License 2.0)
- GitHub: activeloopai/deeplake · 9,256 stars (as of Oct 21, 2026)
Key features
- Multimodal storage: vectors, images, text, video
- Vector search for LLM apps
- Dataset management for training
- Open source plus cloud
Activeloop FAQ
What is Activeloop?
Activeloop makes Deep Lake, a database for AI built on a storage format optimized for deep learning. It stores data plus vectors, including embeddings, images, text and video, for LLM apps and RAG.
Who is Activeloop for?
Teams building RAG or multimodal AI apps and managing training datasets.
Is Activeloop free?
Activeloop's pricing, as the maker states it: Open source + cloud. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is Activeloop open source?
Yes. Activeloop is released under the Apache License 2.0, according to its GitHub repository.
What are alternatives to Activeloop?
Similar tools include LanceDB, seekdb, txtai, Pixeltable, SimpleMem and Memgraph.
Activeloop ratings and reviews
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Activeloop alternatives
Other memory & RAG tools in our directory. See all memory & RAG tools →
LanceDB
Open-source multimodal vector database for search, RAG and agent memory.
seekdb
AI-native search database for agent storage combining vector, text and structured data.
txtai
All-in-one Python framework for semantic search, LLM orchestration and agents built on an embeddings database of vector, graph and relational indexes.
Pixeltable
Multimodal data layer that combines storage, transforms, indexing and retrieval in one Python library for building agents over images, video and documents.
SimpleMem
Research-backed lifelong memory library for LLM agents that stores, compresses and retrieves text and multimodal memories, usable over MCP.
Memgraph
In-memory graph database used as the graph layer for GraphRAG pipelines and agent memory, with Cypher queries plus vector and text search.
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