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MiniMax 开源 Code CLI：命令行编程工具公布 76.7% 任务通过率
MiniMax 正式开源其命令行 AI 编程工具 MiniMax Code CLI v0.4.12，源码已发布在 GitHub。官方称该工具在 FrontierHarness Eval 基准中任务成功率为 76.7%，成功任务中位耗时 4 分 33 秒，均优于公开基线。开源目的是让开发者检查调用逻辑与权限处理，共同构建更安全可靠的企业级 harness。
AI推荐理由 MiniMax 开源 Code CLI v0.4.12，源码上 GitHub，并给出 FrontierHarness Eval 76.7% 任务成功率和成功任务中位耗时 4 分 33 秒，属于可核验的官方开源动作与基准数据；但正文来自 AIbase 转述，未提供 GitHub 链接、基准细节或第三方复现，76.7% 与 4 分 33 秒只能按官方口径理解，不能视为独立验证。对关注编程 Agent、CLI 工具链和权限/调用透明度的开发者有实际参考价值。
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MiniMax Open Source Code CLI: Command-Line Programming Tool Achieves 76.7% Success Rate, Laying Enterprise-Level Harness in the Sunlight
AIbase基地
Published inAI News · 3 min read · Sep 20, 2026
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MiniMax has officially open-sourced the v0.4.12 version of its command-line AI programming tool, MiniMax Code CLI, with the source code now available on GitHub. As a core component of the MiniMax Code client, it is no longer just a product refined behind closed doors but now directly hands over the underlying implementation to developers.
Its performance speaks for itself. In the FrontierHarness Eval benchmark, the CLI achieved a task success rate of 76.7%, with the median time for successful tasks reduced to 4 minutes and 33 seconds. Both metrics outperform the public baseline—meaning it not only works correctly but also runs efficiently.
The official explanation for the open-source initiative is straightforward: it allows developers to personally examine the tool's call logic and permission handling, helping build a more secure and reliable enterprise-level harness together. For an intelligent agent that needs to write code and manipulate files in real production environments, the boundaries of permissions and the transparency of calls are precisely the aspects users cannot afford to overlook. By opening up the code, it is both a way to establish trust externally and to turn security reviews into a community-driven effort. With this move, MiniMax has effectively lifted the hood on its own programming intelligent agent's "cockpit."
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