Multiple project types
Deploy static sites, single-page apps, full-stack apps, and agent apps from the same platform, using Git-based workflows, templates, or direct upload.
EdgeOne Makers deploys web apps and AI agents on Tencent EdgeOne, combining hosting, functions, storage, runtime, sandbox tools, memory, observability, and built-in models.
EdgeOne Makers is a development and deployment platform built on Tencent EdgeOne infrastructure. The product description says it provides serverless deployment for frontend pages, dynamic APIs, and AI applications on the same platform.
The site positions Makers for teams building modern web projects and AI agents. The home page highlights web app hosting with functions and storage, while the agent documentation adds runtime, sandbox tooling, conversation memory, observability, and built-in models for agent workloads.
Deploy static sites, single-page apps, full-stack apps, and agent apps from the same platform, using Git-based workflows, templates, or direct upload.
Use managed runtime for agent loops, LLM calls, orchestration, and session-based execution so long-running conversational tasks can keep state.
Run browser, code execution, shell, and file operations inside an isolated sandbox for agent workflows that need tool use or file handling.
Store sessions and messages with a universal conversation storage API that supports memory management across agent frameworks.
Collect traces with zero-intrusion instrumentation and view them locally or in the cloud for debugging and monitoring agent behavior.
Use built-in models with automatically injected gateway keys, plus a limited-time monthly trial quota for new users.
Ship marketing sites, SPAs, or full-stack web apps with serverless deployment, hosting, functions, and storage.
Build conversational assistants and other multi-turn agents that need session stickiness, memory, and tool use.
Run code-using or file-processing agents that work with browser actions, shell access, and isolated file operations inside a sandbox.
Separate long-running agent orchestration from stateless business logic by combining agents/ and cloud-functions/ in one project.
Create AI applications with built-in model access and a gateway-backed key injection flow instead of wiring model access manually.
EdgeOne Makers supports deploying web apps and AI agents from one platform. The pricing page says it includes web app deployment, AI agents, built-in models, cloud functions, edge functions, and blob/KV storage, while the agent docs add runtime, sandbox tools, conversation storage, observability, and built-in models for agent projects.
The pricing page states that the Free plan is permanently available. It also says more individual and enterprise pricing plans are coming soon, and that customized services can be requested by contacting the team directly.
The agent documentation says you can choose frameworks such as Claude, OpenAI, LangGraph, and CrewAI, with no language restriction between JavaScript and Python. The same docs describe both agents/ runtime for conversational workloads and cloud-functions/ for stateless business logic.
Yes. The platform documentation says Web and Agent projects share the same project, with accounts, deployments, monitoring, and domains centrally managed.
The pricing FAQ says that before the paid version launches, service will not be interrupted if free-tier usage limits are exceeded, though abnormal traffic and abusive behavior may still be monitored.
Traffic data is for reference only.
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