GitHub Copilot for JetBrains: Memory & Ollama Integration

GitHub Copilot for JetBrains is getting new updates, including Copilot memory and Ollama integration. This means users will see persistent memory, local model access, and more enterprise controls. The update also improves everyday chat workflows and resolves reliability issues across various servers and agents. Administrators now have more server-based controls for managing GitHub Copilot, covering plugin availability and OpenTelemetry settings. Copilot memory can retain and recall information across chat sessions, maintaining context without repeated input. Users can manage this feature with a toggle in the Copilot settings. Ollama can now be used as a BYOK provider, supporting configuration and model selection within the JetBrains environment. Codex workflows are expanded with visible sessions in debug logs and updated permission modes. Setting up Copilot CLI is easier, with automatic installation from integrated terminals on macOS, Linux, and Windows. User experience enhancements include improved account management, refined model and settings views, and restored file and folder references in chat inputs. Quality improvements focus on reliability for MCP execution, terminal output, and cloud agents. These changes aim to enhance the development experience and streamline workflows for users.