Agent Cloud

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Agent Cloud is an open-source AI Agents & Automation tool that enables companies to build and deploy private LLM chat apps. It allows teams to securely talk to their data, supporting over 300 data sources for RAG.

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At a glance

Pricing

Open Source · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Agent Cloud?

Agent Cloud is an open-source platform designed for companies to build and deploy private LLM chat applications, allowing teams to securely interact with their data. It features a robust data pipeline that can split, chunk, and embed data from over 300 sources, ensuring fresh and up-to-date vector data for RAG. The platform is LLM agnostic, supporting both open-source models and cloud-hosted LLMs like OpenAI, with options for local inference. It offers a no-code builder interface for creating and managing AI apps, along with advanced security features to control data sharing. Agent Cloud also supports multi-agent assistants and integration with major vector databases like Qdrant and Pinecone, making it suitable for secure, private AI deployments.

Best used for

Ideal for developers and product managers who need to build secure, private LLM chat applications, integrate diverse data sources for RAG, and deploy AI agents within their organization. Especially valuable for companies prioritizing data privacy and seeking an open-source, self-hostable solution for AI app development.

Common actions

build AI apps

deploy LLM chat

secure data access

integrate data sources

manage AI agents

Data AccessData interactionChatbotsConversational AIAI developmentAI appsBusiness intelligencefree AI toolsecure chat

Capabilities

Key features

Open source platform
Private LLM chat apps
Data sync for Vector DBs
300+ data sources
LLM agnostic
No-code builder interface
Multi-agent assistants

Target Audience

developerproduct managerstartup founder

Integrations

qdrantpineconeairbyteopenaiazure-openaiconfluencepostgressnowflake+ 1 more

Pricing & Plans

Open Source · Enterprise

Free

FAQs

What is the software license for Agent Cloud?

Agent Cloud operates under the AGPL 3.0 copyleft license. This license ensures that any modifications or distributions of the software must also be open source under the same terms, promoting community collaboration and transparency.

What are the hardware requirements for running Agent Cloud locally?

For local deployment via Docker, a machine with at least 16 GB of RAM is strongly recommended. This is due to Airbyte's resource demands. If running local LLMs like Ollama or LM Studio, additional RAM will be necessary for inference.

Can I use local or open-source LLMs and embedding models with Agent Cloud?

Yes, Agent Cloud is LLM agnostic and supports any local LLM with an OpenAI-compatible endpoint, such as LM Studio or Ollama. For embeddings, it can embed locally via fastembed, and supports open-source models like BGE/base, alongside cloud options like OpenAI.

How does Agent Cloud ensure data privacy?

For true data privacy, Agent Cloud recommends deploying its open-source application on your own infrastructure, running an LLM on-premise or in your private cloud, and signing an enterprise self-managed license. This approach avoids reliance on third-party managed cloud products.

What data sources and file formats does Agent Cloud support?

Agent Cloud supports over 300 data sources, including databases like Postgres, Snowflake, and BigQuery, as well as systems like Confluence. For file uploads, it supports PDF, DOCX, TXT, CSV, and XLSX formats, allowing for flexible data ingestion.

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AI Frameworks & Infra General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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