Agentcloud

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AgentCloud is an open-source platform that allows companies to build and deploy private LLM chat applications. It features a RAG pipeline that can natively embed over 260 datasources.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is agentcloud?

AgentCloud is an open-source platform designed for companies to build and deploy private Large Language Model (LLM) chat applications, similar to having a custom GPT builder. It empowers teams to securely interact with their data through a robust RAG (Retrieval Augmented Generation) pipeline, which natively supports embedding data from over 260 sources. The platform facilitates the creation of conversational apps, multi-agent process automation applications using `crewai`, and includes features for managing tools, teams, and user permissions. AgentCloud is built with a Python backend, a Next.js UI, and a Rust-based vector proxy, making it a comprehensive solution for developing and deploying AI agents.

Best used for

Ideal for developers and product managers who need to build custom LLM chat applications, automate complex multi-agent workflows, and securely integrate diverse data sources. Especially valuable for companies looking to deploy private AI solutions with robust RAG capabilities and team management features.

Common actions

build AI agents

deploy LLM apps

automate processes

manage data sources

create chatbots

github copilot"AI Agents"face swappingdeepfakeopen-sourceautomated workflowlow-code/no-codecollaborationworkflows

Capabilities

Key features

RAG pipeline
260+ data source embedding
Conversational app creation
Multi-agent process automation
Team and user permissions
Docker deployment

Target Audience

developerproduct managerstartup foundersmall business owner

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What technologies are used to build AgentCloud?

AgentCloud is composed of three main components: a Python application for the agent backend, a UI built with Next.js, Tailwind, and Express for the webapp, and a Rust application for the vector proxy that communicates with Qdrant.

How can I get started with AgentCloud locally?

To run AgentCloud locally, you need to clone the repository, install Docker, and then execute the provided `install.sh` script. This script will set up the necessary services and configurations for the platform.

Does AgentCloud support multi-agent process automation?

Yes, AgentCloud is designed to support multi-agent process automation. It leverages `crewai` in its Python backend to enable the creation of sophisticated applications where multiple AI agents can collaborate to achieve complex tasks.

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Subcategories trending in AI Agents & Automation

AI Frameworks & Infra Chatbots & Conversational AI Workflow Agents Personal Assistants RAG & Document AI Voice Agents

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