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Basic Information

BotSharp is an open-source framework intended to help developers build and run AI multi-agent systems using the .NET platform. The repository presents itself as an AI multi-agent framework, providing a foundation for composing multiple autonomous or collaborative agents within .NET applications. It targets engineers who need a structured approach to create agent-based architectures, allowing teams to organize logic into separate agent components and integrate them into larger systems. The project is hosted on GitHub under the SciSharp organization and includes community signals such as stars, forks, and sponsorship information, indicating active maintenance and community interest. The README in the repository root indicates the project identity but does not expose detailed usage or API specifics in the provided excerpt.

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Features
The README and repository metadata indicate core, high-level characteristics rather than implementation specifics. The project is a .NET-native multi-agent framework focused on agent composition and orchestration. It is published as open-source on GitHub and is community-oriented with sponsorship support. As a framework, it is expected to expose APIs and extension points for creating, configuring, and connecting multiple agents, and to integrate with the .NET ecosystem. The repository signals such as organization, name, and description imply emphasis on modularity, developer tooling, and reusable agent components. Specific files, examples, or dependency lists were not available in the provided excerpt, so detailed feature lists and supported integrations are not asserted here.
Use Cases
BotSharp helps developers and teams by providing a ready-made foundation for building agent-based AI applications on the .NET stack. By supplying a framework rather than a single end-user agent, it reduces the need to design agent composition and communication from scratch, enabling faster prototyping and more maintainable architectures. The GitHub-hosted nature and community engagement mean users can inspect source code, contribute, and receive updates. Sponsorship links and repository metrics suggest outside support and community validation, which can be helpful for teams evaluating adoption risk. Because the README excerpt is limited, practical details such as APIs, deployment patterns, or example projects are not described here and should be consulted in the full repository for implementation guidance.

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