langflow-ai/langflow
Langflow is a powerful open-source platform for building, testing, and deploying AI-powered agents and workflows with visual authoring, multi-agent orchestration, and API integration capabilities.
Awesome AI Agents › AI Workflow Orchestrators
LLM Tornado is a .NET toolkit for building AI agents and workflows against many model providers through one strongly typed API. It ships its own connectors instead of depending on first-party vendor SDKs, covering OpenAI, Anthropic, Google, Azure, Mistral, Cohere, DeepSeek, Groq, xAI, OpenRouter, Perplexity and roughly twenty more, and a published feature matrix tracks which endpoints and provider-specific features each connector exposes. Local deployments are treated as equal citizens, with support for vLLM, Ollama and LocalAI including request transformations. The orchestration layer is built on three concepts: an Orchestrator that is the graph, a Runner that is a node and an Advancer that is an edge. On top of these it provides agent handoffs, parallel execution, a builder pattern for assembling graphs and Mermaid export so a workflow can be inspected as a diagram. Because pipelines are written once and bound to a provider only by model name, the same workflow can be moved between vendors without a rewrite. The SDK is fully multimodal across text, images, video, documents, URLs and audio, and separate NuGet packages add Model Context Protocol client support, Agent2Agent communication between agents on different platforms, and Anthropic-style skills that load folders of instructions and scripts on demand. Vector database connectors cover Chroma, PgVector, Pinecone, Faiss and Qdrant for retrieval-augmented pipelines. Integration with Microsoft.Extensions.AI lets Tornado slot into Semantic Kernel applications, and features aimed at production include a guardrails framework, request preview and transformation before a call is committed, OpenTelemetry instrumentation and stable APIs. The project is MIT licensed and aimed at .NET developers who want one dependency for chat, agents, retrieval and tool protocols rather than a separate library per provider.
https://github.com/lofcz/LLMTornado
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