LM-Kit Blog

Insights for .NET AI developers.

Tutorials, releases, and deep dives on local AI for .NET. On-device inference, agents, RAG, vision, speech, and the engineering decisions behind every feature.

Continue reading.

LM-Kit.NET Goes Agentic

🛰️LM-Kit.NET Goes Agentic: MCP, Tools, Orchestration, All On-Device

Let's be direct: the AI industry told .NET developers they had two choices. Use cloud APIs and accept the trade-offs (latency, costs, data exposure, vendor lock-in)...

6 min read

Tool Calling for Local Agents

🧰 Meet LM-Kit Tool Calling for Local Agents

Deploy AI agents that call tools, chain workflows, and run entirely on-device. LM-Kit .NET SDK supports Mistral, LLaMA, Qwen with full privacy and no API charges.

10 min read

Introducing Speech-to-Text Support in LM-Kit

🎙️Introducing Speech-to-Text Support in LM-Kit

Discover LM-Kit.NET's new speech-to-text capabilities, enabling secure, fast, and accurate local audio processing with Whisper integration, perfect for .NET developers.

2 min read

Embedding Strategies in LM-Kit

🧬 Embedding Strategies in LM-Kit: Rapid Prototyping to Durable Storage

Compare in-memory, built-in, and external vector storage methods in LM-Kit. Learn when to use each and how to switch with a unified API.

6 min read

Introducing AgentMemory

🧠Introducing AgentMemory: Elevating Contextual Recall with Custom Filtering

Discover AgentMemory from LM-Kit, a breakthrough in persistent, context-aware memory for chatbots. Learn how dynamic recall and custom filtering enhance multi-turn conversations.

7 min read

LM-Kit Goes Multimodal

👁️‍🗨️LM-Kit Goes Multimodal: Introducing Vision Support and Our 2025 Roadmap

LM-Kit now supports Vision Language Models (VLMs), enabling multimodal AI with text and image inputs. New .lmk format simplifies deployment.

5 min read

Keyword Extraction API

🏷️ Introducing LM-Kit's Keyword Extraction API

Discover LM-Kit's on-device keyword extraction with tiny LLMs. Achieve fast, accurate insights at scale with minimal resources.

4 min read

Function Calling Agent

🧩 Building a Function Calling Agent with LM-Kit

Function calling, also known as tool calling, has emerged as a transformative feature in the landscape of artificial intelligence (AI), enabling language models to invoke real-world actions.

8 min read

Multilingual Sentiment Analysis Model

😊Introducing LM-Kit's New Multilingual Sentiment Analysis Model

Bringing Real-Time Sentiment Analysis to Any Device with Unparalleled Accuracy.

5 min read

Dynamic Sampling

⚡Introducing Dynamic Sampling in LM-Kit.NET: Up to 75% Error Reduction and 2x Faster Processing for LLMs

We are thrilled to announce a significant enhancement in our latest release of LM-Kit.NET: a new parameter that activates Dynamic Sampling for higher accuracy.

7 min read

Hello World

🤖Hello World!

It's been an exciting week for us here at LM-Kit. After months of hard work, passion, and innovation, we are beyond thrilled to introduce our company to the world.

4 min read

Stay updated

New posts, direct to your inbox.

Get release announcements, deep dives, and code samples from the LM-Kit team. No spam. Unsubscribe any time.