PublicAI is a developer-first platform designed to help users deploy and manage open-source AI agents—such as Auto-GPT, OpenDevin, and more—in their own cloud environments. It enables complete control, privacy, and scalability over AI workflows by giving you the infrastructure and tools needed to run autonomous agents securely.
Unlike hosted AI platforms, PublicAI takes a self-hosted approach, offering cloud-native orchestration while letting developers keep full control over their data and infrastructure. It is built for engineers, researchers, and AI builders who want to run agents in production without vendor lock-in or third-party hosting risks.
Features
1-Click Agent Deployment
Spin up AI agents like Auto-GPT, OpenDevin, and Agent-LLM instantly within your own AWS, GCP, or Azure environment.
Self-Hosted Privacy and Control
All agent operations, data, and model interactions remain under your control—no third-party logging or external monitoring.
Cloud-Native Infrastructure
Built on Kubernetes and Terraform, enabling scalable and repeatable deployments of AI agents.
Agent Store (Open Source Agents)
Browse and deploy curated open-source AI agents directly from the PublicAI dashboard.
Model Flexibility
Run agents using your choice of LLM providers (e.g., OpenAI, Anthropic, Cohere, open-source models via Hugging Face).
Secure DevOps Integration
Integrates with CI/CD pipelines and allows custom infrastructure as code (IaC) configurations.
Unified Interface
Use a web-based console to manage agent configurations, logs, models, and performance metrics.
Rapid Experimentation
Easily test different agents, prompts, and configurations in isolated environments.
How It Works
Sign Up and Connect Your Cloud
Create a PublicAI account and connect your cloud provider (AWS, Azure, GCP).Choose an AI Agent from the Store
Select an open-source AI agent like Auto-GPT or OpenDevin from the curated catalog.Deploy with 1-Click
Use PublicAI’s automation tools to launch the agent in your own infrastructure with preconfigured security and scalability settings.Customize and Monitor
Adjust agent prompts, models, and behaviors via the dashboard. Monitor usage, logs, and system performance.Scale or Integrate
Use APIs or cloud integrations to extend functionality, scale usage, or automate further.
Use Cases
Research & Prototyping
Test and benchmark open-source AI agents like BabyAGI or Agent-LLM in controlled environments for academic or enterprise R&D.
Enterprise AI Deployment
Deploy AI agents that handle repetitive tasks, automation flows, or internal data analysis—within secure enterprise infrastructure.
AI Developer Tools
Use PublicAI as a backend for your custom AI tooling—without rebuilding agent orchestration from scratch.
Cloud-Native DevOps
Integrate PublicAI into your CI/CD workflows to automate builds, deployments, and updates of LLM-powered tools.
AI Product Development
Quickly validate product ideas that involve autonomous agents without needing to manage backend orchestration manually.
Pricing
As of June 2025, PublicAI offers a usage-based pricing model based on infrastructure orchestration and feature access. Key details include:
Free Tier
Deploy limited agents
Community support
Bring your own cloud only
Developer Plan – Starting at $29/month
Unlimited deployments
Model integrations (OpenAI, Hugging Face, etc.)
Full dashboard access
CLI tools and API usage
Team Plan – Custom Pricing
Role-based access control
Multi-agent orchestration
Dedicated support and SLA
Advanced observability and audit logs
Visit publicai.io/pricing to request a quote or sign up.
Strengths
Complete Data Ownership: Keeps all AI agent data and execution local to your cloud.
Supports Any Agent: Compatible with top open-source agents and evolving rapidly with the ecosystem.
Open Model Architecture: Run your choice of LLMs, including private or fine-tuned ones.
DevOps Friendly: Easily integrates with infrastructure-as-code and CI/CD workflows.
Scalable and Secure: Built with Kubernetes and Terraform, offering enterprise-grade orchestration.
Drawbacks
Technical Setup Required: Aimed at developers and engineers; not suitable for non-technical users.
No Hosted Option: Users must connect their own cloud and manage deployments.
Newer Platform: May have limited documentation or community support compared to older DevOps platforms.
Cost Depends on Cloud Usage: Although PublicAI itself is affordable, total cost depends on your cloud provider’s compute/storage pricing.
Comparison with Other Tools
PublicAI vs. LangChain
LangChain helps build agent frameworks in code. PublicAI focuses on deploying and managing prebuilt agents via infrastructure automation.
PublicAI vs. Replit AI
Replit offers a hosted environment for building AI apps. PublicAI is self-hosted and better suited for privacy-focused, production-grade AI deployments.
PublicAI vs. Auto-GPT (Standalone)
While Auto-GPT can be run manually, PublicAI simplifies deployment, observability, and cloud integration for production use cases.
Customer Reviews and Testimonials
“PublicAI gives us control over our AI agents without needing to build and maintain backend orchestration ourselves.”
– Samir H., AI DevOps Lead
“Deploying Auto-GPT used to take hours. Now it’s five minutes—and secure in our own cloud.”
– Linda M., Machine Learning Engineer
“Exactly what we needed to test open-source agents without giving away customer data to third parties.”
– Brian T., CTO at Fintech Startup
Conclusion
PublicAI bridges a critical gap in the AI agent ecosystem—offering a secure, self-hosted, and cloud-native platform for deploying and managing autonomous AI agents. By giving developers full control over infrastructure, model selection, and agent behavior, PublicAI empowers teams to build and operate AI tools with speed, privacy, and confidence.
If you want to deploy powerful open-source agents like Auto-GPT or OpenDevin while keeping full control over your stack, PublicAI is the modern platform to do it.