Why Choose EdgeOne Makers for Serverless AI
The serverless AI platform for agents and APIs — auto-scaling compute, built-in models, and managed tools. Deploy serverless ai agent or serverless api with zero ops.
One-Command Deployment
Deploy with `git push` for auto-deploy or `edgeone makers deploy` via CLI — no Docker, no Kubernetes, no server provisioning.
Built-in Agent Runtime
Managed runtime with session-sticky routing, up to 1-hour execution time, and in-memory state reuse — purpose-built for LLM calls and multi-step agent loops.
Integrated AI Models
Access DeepSeek, MiniMax, Hunyuan, and more through a unified AI gateway. New accounts receive 500K free tokens with zero configuration.
Full Observability
Zero-instrumentation distributed tracing — view complete call chains, LLM interactions, tool invocations, and latency metrics in local and cloud dashboards.
How to Build Serverless AI in 3 Steps
From code to production serverless ai agent or serverless api in minutes — the platform manages all infrastructure automatically.
1
Write Your Agent
Build in the `agents/` directory with any framework (OpenAI SDK, Claude SDK, LangGraph, CrewAI, DeepAgents).
2
Deploy to Production
Push to Git (GitHub/GitLab/Gitee) for auto-deploy, or run `edgeone makers deploy` via CLI.
3
Go Live
Deploys globally in minutes with automatic SSL and edge routing.
Complete Serverless AI Platform Features
All the serverless AI capabilities you need — compute, models, storage, and tools for both serverless ai agent and serverless api workloads.
Feature | Description |
|---|---|
| Agent Runtime | Hosts LLM calls, Agent loop orchestration, and business logic, with session-based routing and automatic scaling. |
| Sandbox Tools | Provides two separate yet interoperable API layers for both LLMs and developers. Browser automation, code execution, Shell, and file operations all run in an isolated sandbox environment. |
| Conversation Storage | Provides framework-compatible memory management, with unified APIs for sessions and messages. |
| Observability | Automatically collects call traces with zero-intrusion instrumentation, enabling unified trace viewing in both local and cloud dashboards. |
| Built-in Models | Access Hunyuan and other mainstream Chinese models through AI Gateway with a limited-time free token quota. |
What does "serverless AI" mean on EdgeOne Makers?
Serverless AI means deploying AI agents and APIs without managing servers. The platform provisions compute, scales from zero, and handles all operations — you only write logic for your serverless ai agent or serverless api.
How does serverless AI scale?
Your serverless ai agent auto-scales from zero to 40 concurrent sessions based on demand. Idle workloads consume no resources. The serverless api mode scales per-request with elastic concurrency.
Is serverless AI on EdgeOne Makers free?
Yes. Free tier: 200,000 executions/month, 100,000 GB-s memory, 500K model tokens. Idle serverless ai agent and serverless api endpoints incur zero cost.
What's the difference between serverless ai agent and serverless api modes?
The `agents/` directory provides session-sticky runtime for stateful serverless ai agent workloads (up to 1-hour execution). The `cloud-functions/` directory provides stateless serverless api endpoints (per-request, elastic scaling).
Can serverless AI agents maintain state?
Yes. The serverless ai agent runtime preserves in-memory state via session-sticky routing. Built-in conversation store also provides persistent memory across sessions.