Sharp-GPT is an open-source C# library that lets developers define AI agents through simple interface annotations. It provides context memory, streaming responses, JSON response binding, and pluggable LLM providers, enabling rapid integration of GPT-based capabilities into any .NET application.
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Sharp-GPT
Sharp-GPT is an open-source C# library that lets developers define AI agents through simple interface annotations. It provides context memory, streaming responses, JSON response binding, and pluggable LLM providers, enabling rapid integration of GPT-based capabilities into any .NET application.
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What is Sharp-GPT?
Sharp-GPT empowers .NET developers to create robust AI agents by leveraging custom attributes on interfaces to define prompt templates, configure models, and manage conversational memory. It offers streaming output for real-time interaction, automatic JSON deserialization for structured responses, and built-in support for fallback strategies and logging. With pluggable HTTP clients and provider abstraction, you can switch between OpenAI, Azure, or other LLM services effortlessly. Ideal for chatbots, content generation, summarization, classification, and more, Sharp-GPT reduces boilerplate and accelerates AI agent development on Windows, Linux, or macOS.
Who will use Sharp-GPT?
- .NET Developers
- Software Engineers
- AI Researchers
- Enterprise Teams
- Startup Founders
How to use the Sharp-GPT?
- Step1: Install the Sharp-GPT NuGet package in your .NET project.
- Step2: Define an interface and decorate methods with [ChatCompletion] attributes to specify prompts and settings.
- Step3: Register Sharp-GPT in your dependency injection container with your OpenAI or Azure API key.
- Step4: Inject and call your agent interface in code to invoke GPT-powered methods.
- Step5: Handle streaming events or receive structured JSON responses automatically mapped to C# types.
- Step6: Configure memory store, logging, and fallback policies as needed.
Platform
- Linux
- Mac
- Windows
Sharp-GPT's Core Features & Benefits
The Core Features
- Annotation-driven prompt definitions
- Contextual memory management
- Streaming response support
- Automatic JSON response binding
- Pluggable LLM provider abstraction
- Logging and fallback policies
The Benefits
- Rapid agent development with minimal boilerplate
- Strong type safety and structured outputs
- Seamless integration with DI containers
- Flexible provider switching (OpenAI, Azure, etc.)
- Real-time streaming for interactive UIs
Sharp-GPT's Main Use Cases & Applications
- Customer service chatbots
- Automated content generation
- Document summarization
- Code assistance and review
- Classification and tagging workflows
Sharp-GPT's Pricing
| Has free plan | No |
|---|---|
| Free trial details | |
| Pricing model | |
| Is credit card required | No |
| Paid from | |
| Has lifetime plan | No |
| Billing frequency |
FAQs of Sharp-GPT
Sharp-GPT Company Information
Sharp-GPT Reviews
5/5
Sharp-GPT's Main Competitors and alternatives?
LangChain.NET
BotSharp
OpenAI.NET
Microsoft.SemanticKernel
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