#768 · Primary category: AI Agents & Automation

LLMTornado

a2a agent agent-framework agent-orchestration agent2agent agentic-ai agentic-rag agentic-workflow agents agents-sdk ai artificial-intelligence dotnet dotnet-core mcp multi-agent orchestration rag sdk workflow

The .NET library to build AI agents with 30+ built-in connectors.

Project last updated:08/17/26

GitHub Stars

638

Forks

112

Contributors

35

License

MIT

Why we included this project

Most .NET agent toolkits lock you into one vendor's SDK, and LLM Tornado is a C# library built to avoid that. You write your agent pipeline once and run it against any of 30+ providers, from OpenAI and Anthropic to local deployments like Ollama and vLLM, by changing the model name. Beyond plain chat it has an orchestration layer for coordinating specialist agents, with distinct orchestrator, runner, and advancer roles, plus MCP and A2A support so agents can call external tools and talk to agents on other platforms. It handles multimodal input and output, includes vector database connectors, and works with Microsoft.Extensions.AI and Semantic Kernel, which keeps it usable in real projects rather than demos. For .NET developers who want one stable API across cloud and self-hosted backends, that's the appeal.

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