Edge-optimized platform for deploying and hosting AI agents with global distribution, serverless functions, and decentralized infrastructure.
Deploy AI agents to servers around the world — your agents run close to users for fast, global performance.
Fleek is a cloud platform optimized for deploying applications and AI agents at the edge with global distribution and minimal latency. The platform has expanded beyond its web hosting roots to become a compelling option for AI agent deployment, offering serverless functions, edge computing, and integration with decentralized infrastructure.
For AI agent builders, Fleek provides a deployment target that combines the simplicity of platforms like Vercel with edge-native performance. Agents deployed on Fleek run close to users worldwide, reducing latency for interactive agent experiences. The platform supports Node.js, Python, and Rust runtimes, covering the major agent development languages.
Fleek's serverless functions enable lightweight agent endpoints that scale automatically with demand. Combined with edge caching and global CDN distribution, this makes Fleek particularly suitable for agent APIs that need to serve global audiences with consistent low latency. The platform handles SSL, custom domains, and environment variable management automatically.
The platform also offers integration with decentralized storage (IPFS, Filecoin) and compute networks, providing options for agents that need censorship resistance or decentralized operation. This positions Fleek uniquely at the intersection of traditional cloud and Web3 infrastructure.
Fleek's CLI and GitHub integration enable CI/CD workflows where agent code is automatically deployed on every push. The platform provides build logs, deployment previews, and rollback capabilities. For teams building AI agents that need global reach with minimal infrastructure management, Fleek offers a modern deployment platform that goes beyond traditional hosting.
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Deploy agent endpoints to edge locations worldwide for minimal latency, ensuring fast response times for interactive AI agent experiences.
Use Case:
Lightweight serverless runtime for agent APIs that scale automatically with demand — no server management required.
Use Case:
Supports Node.js, Python, and Rust runtimes, covering all major agent development languages and frameworks.
Use Case:
Automatic deployments on every push with build logs, deployment previews, and instant rollback capabilities.
Use Case:
Optional integration with IPFS and Filecoin for decentralized storage and compute, unique among agent hosting platforms.
Use Case:
Built-in CDN distribution, SSL certificates, and custom domain management for production agent deployments.
Use Case:
Free
month
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View Pricing Options →Deploying AI agent APIs with global low-latency requirements
Edge-native agent endpoints for interactive experiences
Decentralized agent applications
Rapid agent deployment with GitHub-based CI/CD
We believe in transparent reviews. Here's what Fleek doesn't handle well:
Both offer edge deployment, but Fleek adds decentralized infrastructure options and broader runtime support (Python, Rust). Vercel is more mature for Next.js/React apps.
Yes. Fleek supports Python runtime for serverless functions, allowing deployment of Python-based agent frameworks.
Fleek can store agent data on IPFS/Filecoin and leverage decentralized compute networks, useful for censorship-resistant or trustless agent applications.
Support varies by plan and feature. Check current documentation for real-time connection capabilities needed for streaming agent responses.
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