GitHub Copilot for JetBrains 引入 Copilot memory 与 Ollama

此次更新为 GitHub Copilot for JetBrains 带来持久化记忆、本地模型访问能力，以及更多企业控制选项。同时，它还改进了日常聊天工作流，并解决了 MCP 服务器、终端、自定义配置和云端 Agent 等方面的可靠性问题。

管理员现在拥有更多基于服务器的控制能力，可在整个组织内管理 GitHub Copilot。这些企业托管设置涵盖插件可用性、MCP 服务器访问、权限绕过行为和 OpenTelemetry 设置。

进一步了解企业托管设置。

Copilot memory 现在可以在不同 Agent 聊天会话之间保留并调用有用信息。这有助于你在对话之间保持上下文，无需反复提供相同的项目细节或偏好设置。

你可以通过 Copilot 设置门户中的 Copilot Memory 开关管理此功能。更多信息请参阅关于 Copilot memory。

你现在可以在 GitHub Copilot for JetBrains 中将 Ollama 用作 BYOK 提供商。该集成支持在整个 JetBrains 使用体验中配置提供商和选择模型，为你提供另一种使用适合自身开发环境的模型的方式。

Codex 会话现在可在 Agent 调试日志中查看。Codex 工作流还支持更新后的权限模式，以及通过 instructions 和 skills 进行自定义，帮助你根据项目调整 Agent 行为。

GitHub Copilot for JetBrains 现在可以在 macOS、Linux 和 Windows 的集成终端中自动安装 Copilot CLI。这减少了配置步骤，让你能够更轻松地直接从 IDE 开始使用基于终端的 Agent 工作流。

此次发布改进了常见的账户、模型和 Agent 交互：

• 账户管理：通过支持账户切换/移除，并优化账户删除交互，改进了账户管理流程。
• 模型和设置视图：通过限制模型选择器中过长模型名称的宽度，并优化模型视图和待办事项列表面板行为，提升了模型与设置的易用性。
• 聊天引用：恢复了 Copilot、Claude 和 Codex 聊天输入框中的文件和文件夹 # 引用。
• 自定义配置：将自定义配置按钮移至 Copilot 聊天顶部。
• Agent 调试日志：将 Agent 调试日志按钮移至 Copilot 聊天顶部的 Options 下拉菜单中。

此次发布提升了 MCP 执行与审批、终端输出与自动批准、自定义配置、云端 Agent 以及基于差异的编辑功能的可靠性。同时还修复了 ANSI 转义序列渲染问题，并让终端滚动条的行为更可预测。

面向用户的产品文案现在使用“Copilot”，不再使用“Copilot CLI”。

欢迎试用最新版 GitHub Copilot 插件，并分享你的反馈。

你的反馈将推动产品改进。我们希望通过以下渠道了解你的使用体验：

This update brings persistent memory, local model access, and more enterprise controls to GitHub Copilot for JetBrains. It also improves everyday chat workflows and resolves reliability issues across MCP servers, terminals, customizations, and cloud agents.

Administrators have more server-based controls for managing GitHub Copilot across their organizations. These enterprise managed settings cover plugin availability, MCP server access, permission bypass behavior, and OpenTelemetry settings.

Read more about enterprise managed settings.

Copilot memory can now retain and recall useful information across agent chat sessions. This helps you maintain context between conversations instead of repeatedly providing the same project details or preferences.

You can manage the feature with the Copilot Memory toggle in the Copilot settings portal. For more information, see About Copilot memory.

You can now use Ollama as a BYOK provider in GitHub Copilot for JetBrains. The integration supports provider configuration and model selection throughout the JetBrains experience, giving you another way to work with models that fit your development environment.

Codex sessions are now visible in agent debug logs. Codex workflows also support updated permission modes and customizations through instructions and skills, helping you adapt agent behavior to your project.

GitHub Copilot for JetBrains can now automatically install Copilot CLI from integrated terminals on macOS, Linux, and Windows. This reduces setup steps and makes it easier to start using terminal-based agent workflows directly from your IDE.

This release improves common account, model, and agent interactions:

• Account management : Improved account management flows by supporting account switch/removal and polishing account-deletion interactions.
• Model and settings views : Improved model and settings usability by capping long model-name width in the model picker and refining model view/todo list panel behavior.
• Chat references : Restored file and folder # references in Copilot, Claude, and Codex chat inputs.
• Customization : Moved the customization button to the top of Copilot chat.
• Agent debug logs : Moved the agent debug logs button to the Options dropdown at the top of Copilot chat.

This release improves reliability for MCP execution and approvals, terminal output and auto-approval, customizations, cloud agents, and diff-based editing. It also fixes ANSI escape rendering and makes terminal scrollbars more predictable.

User-facing product strings now use “Copilot” instead of “Copilot CLI.”

Try the latest version of the GitHub Copilot plugin and share your feedback.

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