GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps
Briefly

GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps
"Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub Copilot CLI into their own apps, making it easier to build agentic workflows. This makes it possible to integrate Copilot into any environment. You can build GUIs that use AI workflows, create personal tools that level up your productivity, or run custom internal agents in your enterprise workflows."
"Programmatic access to GitHub Copilot CLI's agentic engine means developers can leverage core components needed to build agentic workflows, including a planner, a tool loop, and a runtime, instead of coding them from scratch. The SDK also exposes other useful GitHub Copilot CLI's features, such as support for multiple AI models, custom tool definitions, MCP server integration, GitHub authentication, and real-time streaming."
"Microsoft senior software engineer Dmytro Struk listed several reasons to use the Copilot SDK in combination with Microsoft's Agent Framework. These include a consistent agent abstraction that makes it possible to swap providers or combine them without restructuring your code, support for multi-agent workflows using built-in orchestrators and ecosystem integration, which provides developers with access to declarative agent definitions, A2A support, and more."
The GitHub Copilot SDK is available in technical preview on GitHub and allows developers to embed the Copilot CLI agentic engine into custom applications. The SDK enables building GUIs, personal productivity tools, and internal enterprise agents by exposing core components such as a planner, tool loop, and runtime. Additional features include support for multiple AI models, custom tool definitions, MCP server integration, GitHub authentication, and real-time streaming. Integration with Microsoft's Agent Framework offers consistent agent abstraction, provider swapping, multi-agent orchestrators, declarative agent definitions, and A2A support. Example uses include YouTube chapter generators, custom GUIs, and summarizers.
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