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  4. Agent Cloud
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← Back to Agent Cloud Overview

Agent Cloud Pricing & Plans 2026

Complete pricing guide for Agent Cloud. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Agent Cloud Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Agent Cloud is worth it →

🆓Free Tier Available
💎2 Paid Plans
⚡No Setup Fees

Choose Your Plan

Community Edition (Open Source)

$0

forever

  • ✓Full Agent Cloud platform with all core features
  • ✓RAG pipeline with 260+ data source integrations via Airbyte
  • ✓Multi-agent automation with CrewAI orchestration
  • ✓Conversational app creation and visual agent builder
  • ✓Local LLM support (Ollama, LM Studio) and cloud LLM support (OpenAI, Azure OpenAI)
  • ✓Vector database integration with Qdrant and Pinecone
  • ✓Team and user permission management
  • ✓Docker-based deployment with automated installation scripts
  • ✓Scheduled and cron-based data synchronization
  • ✓Community support via GitHub Issues and Discord
  • ✓AGPL 3.0 license with full modification rights
Start Free Trial →
Most Popular

Managed Cloud Service

Contact Sales

subscription

  • ✓Fully managed Agent Cloud platform on dedicated infrastructure
  • ✓Enterprise-grade hosting with SLA-backed uptime guarantees
  • ✓Professional onboarding and integration support
  • ✓Scheduled data synchronization with priority processing
  • ✓Enhanced security features and compliance certifications
  • ✓Automated backups and disaster recovery
  • ✓Usage analytics, monitoring, and alerting dashboards
  • ✓Dedicated account manager and priority support channels
  • ✓Custom deployment configurations and scaling options
Start Free Trial →

Pricing sourced from Agent Cloud · Last verified March 2026

Feature Comparison

FeaturesCommunity Edition (Open Source)Managed Cloud Service
Full Agent Cloud platform with all core features✓✓
RAG pipeline with 260+ data source integrations via Airbyte✓✓
Multi-agent automation with CrewAI orchestration✓✓
Conversational app creation and visual agent builder✓✓
Local LLM support (Ollama, LM Studio) and cloud LLM support (OpenAI, Azure OpenAI)✓✓
Vector database integration with Qdrant and Pinecone✓✓
Team and user permission management✓✓
Docker-based deployment with automated installation scripts✓✓
Scheduled and cron-based data synchronization✓✓
Community support via GitHub Issues and Discord✓✓
AGPL 3.0 license with full modification rights✓✓
Fully managed Agent Cloud platform on dedicated infrastructure—✓
Enterprise-grade hosting with SLA-backed uptime guarantees—✓
Professional onboarding and integration support—✓
Scheduled data synchronization with priority processing—✓
Enhanced security features and compliance certifications—✓
Automated backups and disaster recovery—✓
Usage analytics, monitoring, and alerting dashboards—✓
Dedicated account manager and priority support channels—✓
Custom deployment configurations and scaling options—✓

Is Agent Cloud Worth It?

✅ Why Choose Agent Cloud

  • • Complete data sovereignty with fully self-hosted deployment and air-gap capability via local LLMs
  • • 260+ native data source integrations through Airbyte — far more than any competing open-source platform
  • • Multi-agent orchestration via CrewAI enables complex automated workflows beyond simple chatbot interactions
  • • Free and open-source community edition with full platform capabilities and no artificial feature gates
  • • Flexible LLM support spanning local models and cloud providers for hybrid deployment strategies
  • • Intuitive graphical interface reduces barrier to entry for teams without deep ML expertise

⚠️ Consider This

  • • Requires minimum 16 GB RAM for Docker deployment, excluding many consumer laptops
  • • Self-hosted model means organizations bear full responsibility for infrastructure, updates, and security patches
  • • AGPL 3.0 license requires sharing source code of modifications, which may conflict with proprietary development needs
  • • Steeper learning curve than cloud-hosted alternatives — requires Docker and basic DevOps knowledge
  • • Community-only support for free tier with no guaranteed SLA or enterprise support channel

What Users Say About Agent Cloud

👍 What Users Love

  • ✓Complete data sovereignty with fully self-hosted deployment and air-gap capability via local LLMs
  • ✓260+ native data source integrations through Airbyte — far more than any competing open-source platform
  • ✓Multi-agent orchestration via CrewAI enables complex automated workflows beyond simple chatbot interactions
  • ✓Free and open-source community edition with full platform capabilities and no artificial feature gates
  • ✓Flexible LLM support spanning local models and cloud providers for hybrid deployment strategies
  • ✓Intuitive graphical interface reduces barrier to entry for teams without deep ML expertise
  • ✓High-performance Rust vector proxy delivers faster similarity search than Python-based alternatives
  • ✓Active development by RNA Digital with responsive GitHub and Discord community support

👎 Common Concerns

  • ⚠Requires minimum 16 GB RAM for Docker deployment, excluding many consumer laptops
  • ⚠Self-hosted model means organizations bear full responsibility for infrastructure, updates, and security patches
  • ⚠AGPL 3.0 license requires sharing source code of modifications, which may conflict with proprietary development needs
  • ⚠Steeper learning curve than cloud-hosted alternatives — requires Docker and basic DevOps knowledge
  • ⚠Community-only support for free tier with no guaranteed SLA or enterprise support channel
  • ⚠Limited mobile access — no native mobile app or optimized mobile interface for on-the-go management

Pricing FAQ

What are the minimum hardware requirements to run Agent Cloud?

Agent Cloud requires a machine with at least 16 GB of RAM for Docker-based deployment. A base MacBook Air M1/M2 with 8 GB RAM is insufficient as the Airbyte integration requires significant resources. If running local LLMs via Ollama or LM Studio alongside Agent Cloud, additional RAM is recommended. Non-Docker deployments may work with 8 GB RAM but are harder to configure.

Can Agent Cloud run completely offline without internet access?

Yes. By using local LLM providers like Ollama or LM Studio and connecting only to on-premises data sources, Agent Cloud can operate in a fully air-gapped environment with zero external API calls. This makes it suitable for classified or highly regulated environments where internet connectivity is restricted.

What is the AGPL 3.0 license and how does it affect usage?

AGPL 3.0 is a copyleft open-source license that allows free use, modification, and deployment. However, if you modify the source code and distribute the software or provide it as a network service to others, you must make your modifications available under the same license. Internal use within your organization does not trigger this requirement.

How does Agent Cloud compare to using OpenAI's custom GPTs?

Agent Cloud provides complete data sovereignty (your data never leaves your servers), supports 260+ data source integrations vs GPTs' limited file upload approach, enables multi-agent orchestration for complex workflows, and has no per-token usage fees beyond your own infrastructure costs. The trade-off is that Agent Cloud requires self-hosting and technical setup, while custom GPTs are immediately accessible through ChatGPT.

Which vector databases does Agent Cloud support?

Agent Cloud natively supports Qdrant (included in the Docker deployment) and Pinecone. The platform's Rust-based vector proxy provides high-performance communication with these databases for fast similarity search across large document collections.

Can non-technical users operate Agent Cloud after initial setup?

Yes. While initial deployment requires Docker and DevOps knowledge, the day-to-day operation of Agent Cloud uses an intuitive web-based GUI. Non-technical team members can create agents, connect data sources, manage conversations, and configure workflows through the visual interface without touching the command line.

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