AgentKit

AgentKit

OpenAI
+
+

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About

Activeloop provides a continuous learning infrastructure for teams building software, agents, and data pipelines. Its core product, Deeplake, is the GPU database for agents, built around the idea that if your AI is on a GPU, your data should be too. Deeplake is designed to keep AI agents grounded, versioned, queryable, and GPU-native by combining vector and tensor data in one store, with GPU streaming to fine-tuning and a serverless Postgres interface. It gives teams a data engine for multimodal AI, allowing them to store, index, search, and stream data to models and agents. Instead of treating AI data as scattered files, embeddings, metadata, and traces across disconnected systems, Activeloop brings them into an infrastructure that can support retrieval, model development, fine-tuning, and agent memory workflows. It also includes Hivemind, where agent traces become team skills, so work solved once can be shared across the organization through trajectory capture.

About

AgentKit is a unified suite of tools designed to streamline the process of building, deploying, and optimizing AI agents. It introduces Agent Builder, a visual canvas that lets developers compose multi-agent workflows via drag-and-drop nodes, set guardrails, preview runs, and version workflows. The Connector Registry centralizes the management of data and tool integrations across workspaces and ensures governance and access control. ChatKit enables frictionless embedding of agentic chat interfaces, customizable to match branding and experience, into web or app environments. To support robust performance and reliability, AgentKit enhances its evaluation infrastructure with datasets, trace grading, automated prompt optimization, and support for third-party models. It also supports reinforcement fine-tuning to push agent capabilities further.

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

Agent infrastructure teams that need GPU-native data, memory, and continuous learning systems for multimodal AI applications

Audience

Developers and enterprises building AI agents needing a tool to design workflows, embed agents, connect tools, and optimize performance

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

No information available.
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
www.activeloop.ai/

Company Information

OpenAI
Founded: 2015
United States
openai.com/index/introducing-agentkit/

Alternatives

Tuning Engines

Tuning Engines

CerebrixOS

Alternatives

Mistral AI Studio

Mistral AI Studio

Mistral AI
AgentKit

AgentKit

OpenAI

Categories

Categories

Integrations

Actively AI
Agent Builder
BrowserQL
Canva
ChatGPT
ChatKit
Deeplake
Dropbox
Evernote
Google Drive
HubSpot CRM
JavaScript
LegalOn
Microsoft SharePoint
Microsoft Teams
Model Context Protocol (MCP)
OpenAI
Python
Ramp
Taboola

Integrations

Actively AI
Agent Builder
BrowserQL
Canva
ChatGPT
ChatKit
Deeplake
Dropbox
Evernote
Google Drive
HubSpot CRM
JavaScript
LegalOn
Microsoft SharePoint
Microsoft Teams
Model Context Protocol (MCP)
OpenAI
Python
Ramp
Taboola
Claim Activeloop and update features and information
Claim Activeloop and update features and information
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Claim AgentKit and update features and information