무료로 DeepSeek AI Agent를 실행하세요 — DeepSeek API로 코딩 Agent를 연결하거나, 브라우저에서 무료 온라인 Agent를 체험할 수 있습니다.
독립적인 DeepSeek Agent 가이드입니다. DeepSeek 공식과 무관하며 공식 보증을 받지 않습니다.
iMini 무료 온라인 AI Agent에서 최신 DeepSeek V4를 사용하세요. Flash는 속도와 비용, Pro는 깊은 추론에 적합합니다.
Efficiency-oriented V4 MoE for high-throughput coding, chat, and short-to-mid agents — free to try in iMini Agent.
Best for high-throughput agent tasks, everyday coding help, and lower-cost runs.
Flagship V4 MoE for hard-constraint reasoning, full-repo coding, and long multi-step tool jobs — free to try in iMini Agent.
Best for hard reasoning, agentic coding, and multi-step creative or research work.
DeepSeek is a Chinese AI lab based in Hangzhou that builds and releases large language models, most of them under open licenses. It became widely known for shipping frontier-class reasoning and coding models at a fraction of the price charged by closed-source competitors, and for publishing technical reports detailed enough that other labs could reproduce the ideas.
The current generation is DeepSeek V4, released in April 2026 as two Mixture-of-Experts tiers: V4 Pro for the hardest reasoning and agentic coding, and V4 Flash for high-throughput, lower-cost work. Both share a 1M-token context window and expose reasoning effort as a request parameter rather than a separate model ID.
DeepSeek also offers an OpenAI-compatible API. That compatibility is the practical reason DeepSeek shows up so often in agent tooling: if a coding agent lets you set a custom base URL and API key, you can usually point it at DeepSeek without patching the tool itself.
A DeepSeek AI agent is an autonomous coding assistant that uses DeepSeek models through the DeepSeek API. You describe a goal in plain language; the agent plans steps, calls tools such as the terminal or file editor, and keeps working until the task is done.
This is different from a chatbot that only replies in a message window. An agent runs a loop — plan, act, observe, repeat — so it can refactor a repo, fix failing tests, scaffold a project or automate a workflow without you micromanaging each step.
The DeepSeek API is natively compatible with OpenAI Chat Completions and Anthropic Messages, which makes it a practical backend for coding agents that accept custom endpoints. Point Chat-shaped tools at api.deepseek.com, Anthropic-shaped tools at api.deepseek.com/anthropic, and use a bridge when the agent only speaks OpenAI Responses.
On this site we document how to wire Codex, Claude Code, OpenClaw and other AI coding agents to DeepSeek — so you keep the agent shell you already use and swap in DeepSeek for model inference.
Coding agents speak different wire protocols. DeepSeek natively mirrors two of them — OpenAI Chat Completions and Anthropic Messages. It does not expose OpenAI Responses, which is why tools like Codex need a bridge.
| Aspect | OpenAI Chat Completions | OpenAI Responses | Anthropic Messages |
|---|---|---|---|
| Endpoint | POST /v1/chat/completions | POST /v1/responses | POST /v1/messages |
| Main payload | messages: [{role, content}] | input (string or item list) | messages + top-level system |
| Auth | Authorization: Bearer | Authorization: Bearer | x-api-key / ANTHROPIC_API_KEY |
| Content shape | Mostly plain text strings | Typed items (message, function_call, reasoning…) | Content blocks (type: text, …) |
| State | Stateless — resend full history | Designed for agent loops and richer items | Stateless — resend full history |
| Typical tools | openai SDK, most OpenAI-compatible agents | Codex CLI (Responses-only) | Claude Code, Copilot CLI (Anthropic mode) |
Official DeepSeek docs list two base URLs. Point the matching SDK or agent at the right one, paste your DeepSeek API key, and pick deepseek-v4-pro or deepseek-v4-flash.
Drop-in for most OpenAI-compatible clients. Change base_url and api_key; keep calling /chat/completions.
https://api.deepseek.com
Same key, Anthropic-shaped path. Claude Code and similar tools switch by setting ANTHROPIC_BASE_URL.
https://api.deepseek.com/anthropic
No official /v1/responses. Codex and other Responses-only clients need a local bridge such as Moon Bridge.
bridge required → /guides/codex
Codex speaks OpenAI Responses. DeepSeek speaks Chat Completions and Anthropic Messages. Moon Bridge sits in the middle: Codex → Responses → Moon Bridge → DeepSeek.
Codex + Moon Bridge guideMost setups follow the same pattern: get API access, pick an agent tool, paste your key, then run a small coding task to confirm everything works.
Create an account on the DeepSeek Platform, generate an API key, and check whether free credits or a free tier is available in your region. Keep the key private — you will paste it into your agent config.
Pick a coding agent that fits your workflow. Popular options on this site include Codex, Claude Code and OpenClaw — each has a dedicated setup guide.
Follow the guide for your tool: set the DeepSeek endpoint, model name and API key in its config file or environment variables. Restart the agent, then try a simple task such as fixing a test or adding a small feature.
Codex can run against DeepSeek when the stack supports OpenAI-compatible API routing — often via Moon Bridge or a switching tool. Our guide walks through endpoints, model IDs and common errors.
DeepSeek Agent setup for CodexClaude Code accepts custom provider settings. You can point it at DeepSeek with environment variables in settings.json, or use CC Switch if you prefer a visual setup.
Claude Code with DeepSeek APIOpenClaw supports custom model providers during onboarding. The guide covers provider config, Skills, MCP and chat-platform integration with DeepSeek as the model backend.
OpenClaw DeepSeek API guideWe maintain step-by-step guides for 20+ agents — API keys, endpoints, copy-paste config and troubleshooting for each tool.
Browse all DeepSeek AI agent setup guides페이지 구성 계획: 홈, 업계 개요, 경쟁사 비교, 차트
Next.js 프로젝트 스캐폴딩, Recharts 설치
페이지 컴포넌트 작성, 샘플 시장 데이터 연결
dev server 실행…… localhost:3000에서 미리보기 가능
터미널 · Claude Code
「이 테스트 실패했어, 고쳐줘」
스택 트레이스 읽고 테스트 수정, pytest 통과까지 실행. 파일 트리는 안 열어도 됨.
터미널 · Codex
「결제 모듈에 환불 API 추가」
라우트 구조 스캔, handler·테스트 작성, 터미널에서 통합 테스트까지 실행——마지막 diff만 확인.
OA · OpenClaw
「오늘 PR 코멘트 요약해줘」
GitHub API로 가져와 우선순위 정리, OA로 digest 푸시——휴대폰에서 읽으면 됨.
ChatGPT, Claude and Gemini are strong general-purpose assistants. A DeepSeek AI agent is a different idea: you keep a coding-agent shell (Codex, Claude Code, OpenClaw, etc.) and use the DeepSeek API as the model backend. That matters when you want agent workflows — not just chat — at lower API cost.
| Platform | Agent support | API for coding agents | Typical cost |
|---|---|---|---|
| DeepSeek AI Agent | Works with Codex, Claude Code, OpenClaw + 20 agents | OpenAI-compatible DeepSeek API | Free credits / low API pricing |
| ChatGPT / Codex (default) | Codex, Copilot CLI (OpenAI models only) | OpenAI API — usage-based | Subscription + API fees |
| Claude (default) | Claude Code (Anthropic models only) | Anthropic API — usage-based | Pro plan + API fees |
| Gemini (default) | Limited agent tooling | Google AI API | Free tier + paid tiers |
사용할 Agent를 찾으세요——Codex, Claude Code, OpenClaw, Hermes. 가이드를 보고 DeepSeek Agent를 설정하세요.
Open-source personal AI assistant that plugs into chat tools (Feishu, WeChat) and is extensible via Skills.
가이드 보기
Minimal, extensible terminal coding harness with tree-structured sessions and custom providers.
가이드 보기
AI agent and coding assistant with custom OpenAI-compatible model configuration.
가이드 보기Skill 마켓에서 워크플로와 연동을 찾거나, 자주 쓰는 도구로 설정을 더 다듬으세요.
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