Author | Yang Jingli Editor | Li Shuiqing Zhidx reported on July 6: based on DeepSeek’s official API documentation and GitHub repository information, a third-party open-source AI coding assistant named Deep Code has recently been included in the DeepSeek Agent Tools. This tool is adapted for the DeepSeek-V4 series models and supports deep thinking, reasoning strength control, Agent Skills, and MCP integration. As of press time, the Deep Code GitHub repository shows that the tool has gained over 1,500 stars and 127 forks. GitHub open-source repository: https://github.com/lessweb/deepcode-cli
This open-source tool is primarily released and maintained by developer qorzj. According to his GitHub profile, qorzj is from Vega Momentum. The company was founded in Chongqing in 2009, and its main business covers AI application development, large model fine-tuning, agent construction, big data governance, and enterprise digital upgrading. The GitHub page shows that the tool released its first version (v0.1.20) in May this year, and the current version is still undergoing continuous iteration. The latest version is v0.1.31, released on June 16, 2026.
Deep Code can be installed via npm, and users can start it by running deepcode in the project directory. Its recommended configuration models include DeepSeek-V4-Pro and DeepSeek-V4-Flash, and it also supports other model services compatible with the OpenAI API. If a team has already deployed other OpenAI-compatible APIs, Deep Code can also be integrated as a frontend coding agent.
In terms of functionality, Deep Code covers the common capabilities of current AI coding agents, including reading and modifying project files, executing shell commands, restoring historical conversations, invoking MCP services, and configuring tool permissions. Deep Code adapts these capabilities around the DeepSeek-V4 series models and provides two access points: a CLI and a VS Code extension. Regarding extended capabilities, Deep Code supports Agent Skills.
According to the GitHub README, its Skills are scanned from the project directory and user directory, including paths such as ./.deepcode/skills/, ./.agents/skills/, ~/.deepcode/skills/, and ~/.agents/skills/. Developers can encapsulate common internal team processes, project specifications, or specific task capabilities into skills for the coding assistant to invoke.
In addition, Deep Code supports MCP configuration, enabling connections to external services such as GitHub, browsers, and databases; it also has a built-in free Web Search tool and allows users to configure custom search scripts. Its configuration documentation shows that users can set parameters such as the model, API address, API Key, thinking mode, reasoning strength, MCP server, and task completion notifications in settings.json.
Security mechanisms are also a key aspect of such agent-based tools. The Deep Code documentation shows that it has a built-in fine-grained permission control mechanism, which can set allow, deny, or prompt actions for operations such as reading files, writing files, deleting files, accessing the network, invoking MCP, and querying or modifying Git history.
The emergence of Deep Code adds another coding agent entry point to the DeepSeek ecosystem: developers can not only invoke the DeepSeek-V4 series models in the terminal but also integrate it into their daily development workflow via the VS Code extension. Whether this DeepSeek-adapted toolchain can deliver stable performance in code comprehension, task execution, permission control and multi-turn collaboration remains to be seen, pending further real-world developer feedback.