DeeplakeActiveloop
|
||||||
Related Products
|
||||||
About
Agno is a lightweight framework for building agents with memory, knowledge, tools, and reasoning. Developers use Agno to build reasoning agents, multimodal agents, teams of agents, and agentic workflows. Agno also provides a beautiful UI to chat with agents and tools to monitor and evaluate their performance. It is model-agnostic, providing a unified interface to over 23 model providers, with no lock-in. Agents instantiate in approximately 2μs on average (10,000x faster than LangGraph) and use about 3.75KiB memory on average (50x less than LangGraph). Agno supports reasoning as a first-class citizen, allowing agents to "think" and "analyze" using reasoning models, ReasoningTools, or a custom CoT+Tool-use approach. Agents are natively multimodal and capable of processing text, image, audio, and video inputs and outputs. The framework offers an advanced multi-agent architecture with three modes, route, collaborate, and coordinate.
|
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.
|
|||||
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
AI developers requiring a solution to build and deploy intelligent, multimodal agents with advanced reasoning capabilities
|
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
|
|||||
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
Free
Free Version
Free Trial
|
Pricing
$0
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAgno
United States
github.com/agno-agi/agno
|
Company InformationActiveloop
Founded: 2018
United States
deeplake.ai/
|
|||||
Alternatives |
Alternatives |
|||||
Categories |
Categories |
|||||
Integrations
AG-UI
Activeloop
Amazon SageMaker
Amazon Web Services (AWS)
ChatGPT
Dock
Ejentum
Google Cloud Platform
Hindsight
Jupyter Notebook
|
Integrations
AG-UI
Activeloop
Amazon SageMaker
Amazon Web Services (AWS)
ChatGPT
Dock
Ejentum
Google Cloud Platform
Hindsight
Jupyter Notebook
|
|||||
|
|
|