Free AI Agents Platform

Runtime, sandbox, memory, models, and tracing — all in one platform.
Production-ready in minutes
Zero infrastructure management
Built-in AI models & tools

Why Choose EdgeOne Makers AI Agents Platform

A complete ai agent deployment platform with everything built in — deploy agents without assembling separate services for runtime, tools, memory, or models.
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One-Command Deployment
Deploy with `git push` for auto-deploy or `edgeone makers deploy` via CLI — no Docker, no Kubernetes, no server provisioning.
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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.
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Integrated AI Models
Access DeepSeek, MiniMax, Hunyuan, and more through a unified AI gateway. New accounts receive 500K free tokens with zero configuration.
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Full Observability
Zero-instrumentation distributed tracing — view complete call chains, LLM interactions, tool invocations, and latency metrics in local and cloud dashboards.

How to Use the AI Agents Platform in 3 Steps

From code to production on the ai deployment platform in minutes — the platform provisions all infrastructure automatically.
How to Use the AI Agents Platform in 3 Steps
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 AI Agents Platform Features

Everything included in the ai agent deployment platform — from managed runtime to full observability, designed for production-grade AI workloads.
Feature
Description
Agent RuntimeHosts LLM calls, Agent loop orchestration, and business logic, with session-based routing and automatic scaling.
Sandbox ToolsProvides 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 StorageProvides framework-compatible memory management, with unified APIs for sessions and messages.
ObservabilityAutomatically collects call traces with zero-intrusion instrumentation, enabling unified trace viewing in both local and cloud dashboards.
Built-in ModelsAccess Hunyuan and other mainstream Chinese models through AI Gateway with a limited-time free token quota.

Build with Any AI Agent Framework

Bring your preferred framework — deploy agents built with any major SDK or orchestration library, in JavaScript or Python.

Frequently Asked Questions

What is EdgeOne Makers AI agents platform?

EdgeOne Makers is a complete ai agent deployment platform providing managed runtime, sandbox tools, conversation memory, built-in AI models, and distributed tracing — all in one unified ai deployment platform.

How is this ai agents platform different from Dify or Coze?

EdgeOne Makers is a code-first ai agent deployment platform — use any framework (OpenAI SDK, Claude SDK, LangGraph, CrewAI, DeepAgents) with full control, vs low-code platforms with limited flexibility.

Is the ai agents platform free?

Yes. Free tier: 200,000 executions/month, 500K model tokens, 40 concurrent sessions, 1-hour max runtime, and full sandbox access. No credit card required for the ai deployment platform.

What can I build on the ai agent deployment platform?

The platform supports conversational assistants, file processing agents, content generation, workflow orchestration, coding assistants, and MCP servers — any AI agent workload.

Does the ai deployment platform support team collaboration?

Yes. Connect your Git repository (GitHub/Gitee/Coding) and every push to the main branch triggers automatic deployment. Multiple team members can collaborate through standard Git workflows.