Deeplake

Deeplake

Activeloop
+
+

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About

Deeplake is a GPU-native database for AI agents that helps teams store, retrieve, and process data where their models already run. Built by Activeloop, it is designed as a memory and data layer for production-grade AI agents, agentic loops, physical AI, and generative media workflows. The platform combines a familiar Postgres-style interface, analytical query performance, multimodal data lake capabilities, and GPU acceleration into one AI-focused data system. Deeplake supports use cases involving text, images, video, sensors, 3D scans, model weights, embeddings, and other complex data types. It helps agents retrieve context faster, reduce data movement, and run large volumes of queries more efficiently than traditional CPU-based database architectures. With SOC 2 Type II certification, VPC deployment, open-source traction, and support for modern AI stacks, Deeplake gives AI teams a scalable foundation for agent memory, retrieval, and multimodal data management.

About

Simpliflow AI centers on Loop, a unified MCP (Model Context Protocol) gateway that consolidates integrations across AI agents and tools into one orchestrated layer. With Loop, you mount external MCP servers and integrate multiple apps just once; then, instead of embedding every tool schema into the language model context (which bloats prompts), Simpliflow dynamically retrieves and executes the needed tool only when a query triggers it. This keeps LLM contexts compact and avoids hitting tool limits. Loop offers a dashboard to manage all integrations and MCP connections, supports over 1,500 pre-built integrations via managed OAuth, and enables compatibility with any MCP-enabled AI app. It enforces schema validation and integrity checks for security and reliability, giving power users fine-grained control while providing a safer, unified environment for AI workflows.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Deeplake is best suited for AI engineers, machine learning teams, agent developers, robotics teams, RAG builders, data infrastructure teams, generative media companies, and enterprises that need GPU-native retrieval, multimodal data management, vector search, serverless Postgres, and scalable memory for production AI agents

Audience

AI developers and infrastructure teams interested in a solution to manage and orchestrate tool integrations across multiple AI agents without overloading LLM contexts

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0
Usage-based
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Activeloop
Founded: 2018
United States
deeplake.ai/

Company Information

SimpliflowAI
United States
www.simpliflowai.com

Alternatives

Alternatives

txtai

txtai

NeuML

Categories

Categories

Integrations

ChatGPT
Activeloop
Amazon SageMaker
Augment Code
Claude
Cline
Cursor
GitHub
Gmail
Google Cloud Platform
Notion
OAuth
OpenAI
PyTorch
Reddit
Salesforce
Slack
Supabase
TensorFlow
Windsurf Browser

Integrations

ChatGPT
Activeloop
Amazon SageMaker
Augment Code
Claude
Cline
Cursor
GitHub
Gmail
Google Cloud Platform
Notion
OAuth
OpenAI
PyTorch
Reddit
Salesforce
Slack
Supabase
TensorFlow
Windsurf Browser
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