The complete capability map, one runtime underneath.
78 capabilities across 10 areas, every one a shipped feature with its own page. Open an area to see everything inside it.
Documents & knowledge
Turn files and internal content into structured data, cited answers, and safe output.
Document Intelligence
Parse, understand, transform, and protect documents, entirely on your infrastructure.
RAG & Knowledge
Retrieval with citations, from embedding to reranked answer.
Vision & Multimodal
Understand, classify, and search images with local vision-language models.
Agents & language
Build assistants, agents, and language features on the same local runtime.
AI Agents
Plan, orchestrate, and govern agents that run against your documents, inside your perimeter.
Text Analysis
Classify, extract, and score text and images with typed, confidence-scored results.
Text Generation
Generate, rewrite, and constrain text, down to schema-valid output.
Speech & Audio
Transcribe, detect, and translate speech without a cloud call.
Runtime & ecosystem
What every capability above runs on, and how it fits the stack you already have.
Prefer to start from the problem?
Scenario pages that walk one problem end to end and name the capabilities each step uses.
Frequently asked questions.
What can LM-Kit.NET do?
LM-Kit covers a broad surface of generative-AI capabilities, including AI agents, document intelligence, RAG and knowledge retrieval, vision, text analysis and classification, text generation, speech-to-text, local inference, model optimization and .NET ecosystem integrations. Every category is a feature already available in the SDK.
Is LM-Kit.NET one package or many?
LM-Kit is a single NuGet package that covers all of these capabilities. You pick the area you need and the rest stays out of your way.
Does LM-Kit.NET run locally on-device?
Yes. LM-Kit runs locally inside your .NET application, with capabilities such as embeddings and speech-to-text operating on-device.
What AI agent capabilities does LM-Kit.NET provide for .NET?
LM-Kit runs AI agents on local models, including planners, supervisors, parallel and pipeline orchestrators, persistent memory, MCP clients, custom tool calling, and agent skills.
What speech and text-analysis features does LM-Kit.NET offer?
For speech it provides a local, multilingual speech-to-text stack with streaming output, real-time translation, and 100+ languages. For text analysis it offers classification, NER, PII extraction, sentiment, keyword extraction, and language ID.
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