{"repo":"PsChina/deepseek-as-subagent","free":true,"listed":false,"github":"https://github.com/PsChina/deepseek-as-subagent","clone":"git clone https://github.com/PsChina/deepseek-as-subagent.git","description":"Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — DeepSeek gets its own 7-tool agent loop in a sandboxed workspace, not just a single LLM call.","language":"Python","stars":26,"topics":["agent-loop","ai-agent","claude-code","codex-cli","deepseek","llm-orchestration","mcp","model-context-protocol","sub-agent","token-optimization"],"license":"MIT","category":"mcp-servers","readme_excerpt":"deepseek-as-subagent English · 简体中文 Run DeepSeek as a real sub-agent inside Claude Code / Codex CLI — not just an LLM endpoint. Claude stays on the main loop (your Max OAuth, your context, your judgment). DeepSeek gets its own Read / Write / Edit / Bash / Glob / Grep / NotebookEdit agent loop for batch / mechanical work. Quick start One line. Clones the repo to /.local/share/deepseek-as-subagent , installs the Python package in an isolated venv, registers the MCP server with Claude Code, deploys the skill + /ds slash command, and adds a pure shell alias. After install, edit /.deepseek-mcp/config.json to paste your DeepSeek API key (get one at platform.deepseek.com). Then run claude and try /ds write a python hello world to /tmp/hi.py . Re-run the same curl bash later to upgrade. For other clients (Codex, Cursor, Cline) or manual install, see Install below. How is this different from existing DeepSeek MCP servers? Most deepseek-mcp-server projects expose DeepSeek as a single LLM call ( create chat completion , create anthropic message ). Claude has to read every file itself and feed content into the prompt — DeepSeek only saves you the \"thinking\" cost, not the \"reading/writing\" cost. Same for Composio's DeepSeek toolkit. This project gives DeepSeek its own full agent loop : tool dispatch, file I/O, command execution, multi-turn reasoning — all inside a sandboxed workspace. Claude hands off the entire task and gets a single summary back. The token savings are end-to-end. What's","default_branch":null,"files":null,"tree":[],"storefront":"/r/PsChina","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/PsChina/deepseek-as-subagent/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}