Leader badge

Audience

Developers and enterprises looking to integrate high-performance Generative AI capabilities, including text generation and NLP, into their applications with on-device inference and cross-platform support

About LM-Kit.NET

LM-Kit.NET is a cutting-edge, high-level inference SDK designed specifically to bring the advanced capabilities of Large Language Models (LLM) into the C# ecosystem.

Tailored for developers working within .NET, LM-Kit.NET provides a comprehensive suite of powerful Generative AI tools, making it easier than ever to integrate AI-driven functionality into your applications.

The SDK is versatile, offering specialized AI features that cater to a variety of industries. These include text completion, Natural Language Processing (NLP), content retrieval, text summarization, text enhancement, language translation, and much more. Whether you are looking to enhance user interaction, automate content creation, or build intelligent data retrieval systems, LM-Kit.NET offers the flexibility and performance needed to accelerate your project.

Pricing

Starting Price:
Free (Community) or $1000/year
Pricing Details:
Free community license available
Free Version:
Free Version available.
Free Trial:
Free Trial available.

Integrations

API:
Yes, LM-Kit.NET offers API access

Ratings/Reviews - 9 User Reviews

Overall 4.9 / 5
ease 5.0 / 5
features 4.8 / 5
design 4.7 / 5
support 4.6 / 5

Company Information

LM-Kit
Founded: 2024
France

Videos and Screen Captures

Image Description with Local VLM

Image Description with Local VLM

Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
iPhone
iPad
Android
Chromebook
On-Premises
Training
Documentation
Live Online
Webinars
Videos
Support
Online

LM-Kit.NET Frequently Asked Questions

Q: What kinds of users and organization types does LM-Kit.NET work with?
Q: What languages does LM-Kit.NET support in their product?
Q: What kind of support options does LM-Kit.NET offer?
Q: What other applications or services does LM-Kit.NET integrate with?
Q: Does LM-Kit.NET have an API?
Q: Does LM-Kit.NET have a mobile app?
Q: What type of training does LM-Kit.NET provide?
Q: Does LM-Kit.NET offer a free trial?
Q: How much does LM-Kit.NET cost?
Q: What pricing for support is available for LM-Kit.NET?
Q: What pricing for training is available for LM-Kit.NET?

LM-Kit.NET Product Features

AI Agent Builders

LM-Kit.NET brings advanced AI to C# and VB.NET through an enterprise-grade architecture and an intuitive AI Agent Builder that lets developers design modular agents for text generation, translation, and context-aware decision making, with built-in runtime support that hides the underlying complexity so teams can prototype, deploy, and scale intelligent solutions quickly while keeping their software adaptable to evolving data and user needs.

AI Agents

The AI agents feature in LM-Kit.NET lets developers create, customize, and deploy agents for text generation, translation, code analysis, and other tasks without major code changes; a lightweight runtime and API layer coordinates multiple agents so they can share context, divide work, and run concurrently, while optional on-device inference cuts latency and keeps data local, and broad hardware support lets the same agents run on laptops, edge devices, or cloud GPUs to balance performance, cost, and security.

AI Development

With minimal setup, developers can add advanced generative AI to .NET projects for chatbots, text generation, content retrieval, natural language processing, translation, and structured data extraction, while on-device inference uses hybrid CPU and GPU acceleration for rapid local processing that protects data, and frequent updates fold in the latest research so teams can build secure, high-performance AI applications with streamlined development and full control.

AI Fine-Tuning

LM-Kit.NET lets .NET developers fine-tune large language models with parameters like LoraAlpha, LoraRank, AdamAlpha, and AdamBeta1, combining efficient optimizers and dynamic sample batching for rapid convergence; automated quantization compresses models into lower-precision formats that speed up inference on resource-constrained devices without losing accuracy; seamless LoRA adapter merging adds new skills in minutes instead of full retraining, and clear APIs, guides, and on-device processing keep the entire optimization workflow secure and easy inside your existing codebase.

AI Inference

LM-Kit.NET brings advanced AI to C# and VB.NET by letting you create and deploy context-aware agents that run small language models directly on edge devices, trimming latency, protecting data, and delivering real-time performance even in resource-constrained environments so both enterprise systems and rapid prototypes can ship faster, smarter, and more reliable applications.

AI Models

LM-Kit.NET now lets your .NET apps run the latest open models entirely on device, including Meta Llama 4, DeepSeek V3-0324, Microsoft Phi 4 (plus mini and multimodal variants), Mistral Mixtral 8x22B, Google Gemma 3, and Alibaba Qwen 2.5 VL, so you get cutting-edge language, vision, and audio performance without calling any external service. A continuously updated model catalog with setup instructions and quantized builds is available at docs.lm-kit.com/lm-kit-net/guides/getting-started/model-catalog.html, letting you integrate new releases quickly while keeping latency low and data fully private.

AI Text Generators

LM-Kit.NET’s text generator runs locally on CPU or GPU for quick, private content creation, summarization, grammar correction, and style refinement; dynamic sampling and configurable grammar rules let it emit structured outputs such as JSON schemas, formatted documents, or code snippets with little post-editing, while careful resource management keeps latency low and results consistent across workflows.

Chatbot

On-device chatbot library for .NET adds multi-turn conversational AI that preserves context with low latency and full privacy. Lightweight models remove cloud dependency. Tune replies with RandomSampling or MirostatSampling and regulate tokens through LogitBias and RepetitionPenalty for varied, non-repetitive output. Event-driven hooks let you insert custom logic before or after each message and enable human-in-the-loop review when needed.

Human Takeover
Machine Learning
Natural Language Processing
Prediction
Sentiment Analysis
Call to Action
Context and Coherence
Inline Media / Videos
Payment Integration
Ready-made Templates
Reporting / Analytics
Social Media Integration

Conversational AI

LM-Kit.NET lets C# and VB.NET apps add conversational AI through streamlined APIs. It enables dynamic multi-turn dialogue and context-aware responses for chatbots, assistants, and support agents, giving users human-like interactions that adapt in real time.

For Developers
Intent Recognition
Multi-Languages
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Code-free Development
Contextual Guidance
Omni-Channel
On-Screen Chats
Speech Synthesis
Virtual Assistant

Data Extraction

LM-Kit.NET converts raw text and images into structured data for your .NET apps. Its extraction engine uses dynamic sampling to parse documents, emails, logs, and more with high precision. Define custom fields with metadata and flexible formats. Call Parse for synchronous or ParseAsync for asynchronous processing to fit any workflow. Retrieval-Augmented Generation links related segments for smarter search. Everything runs locally for speed, security, and full data privacy, no signup needed.

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Large Language Models

LM-Kit.NET lets C# and VB.NET developers integrate large and small language models for natural language understanding, text generation, multi-turn dialogue, and low-latency on-device inference, while its vision language models add image analysis and captioning, its embedding models turn text into vectors for fast semantic search, and its LM-Lit catalog lists every state-of-the-art model with continuous updates, all in one efficient toolkit that stays inside your codebase without revealing any AI origin to the user.

Natural Language Generation

The on-device NLG module for .NET uses compact local language models to create context-aware text fast and securely. It can generate code snippets, summaries, grammar fixes, and style rewrites without leaving your environment, so data stays private. Use it to automate documents, keep brand voice consistent, and produce multilingual content. Flexible controls let you define formats and styles, making it ideal for reporting, code generation, and concise summaries.

Chatbot
Multiple Language Support
Web Content
Business Intelligence
CRM Data Analysis and Reports
Email Marketing
Financial Reporting
SEO

Natural Language Processing

The on-device NLP Toolkit for .NET processes large text volumes privately and instantly. It never sends data to the cloud. Core features include multilingual sentiment analysis, emotion and sarcasm detection, custom text classification, keyword extraction, and semantic embeddings for deep context. Dynamic sampling uses both CPU and GPU resources for maximum speed and efficiency.

Named Entity Recognition
Natural Language Generation (NLG)
Parsing
Sentence Segmentation
Tokenization
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Part-of-Speech Tagging
Stemming/Lemmatization

Retrieval-Augmented Generation (RAG)

LM-Kit RAG adds context-aware search and answers to C# and VB.NET with one NuGet install and an instant free trial that needs no signup. Hybrid keyword plus vector retrieval runs on local CPU or GPU, feeds only the best chunks to the language model, slashes hallucinations, and keeps every byte inside your stack for privacy and compliance. RagEngine orchestrates modular helpers: DataSource unifies documents and web pages, TextChunking splits files into overlap-aware pieces, and Embedder converts each piece into vectors for lightning-fast similarity search. Workflows run sync or async, scale to millions of passages, and refresh indexes in real time. Use RAG to power knowledge chatbots, enterprise search, legal discovery, and research assistants. Tune chunk sizes, metadata tags, and embedding models to balance recall and latency, while on-device inference delivers predictable cost and zero data leakage.

Sentiment Analysis

On-device sentiment analysis for .NET delivers real-time, private insights. It classifies text as positive, negative, or neutral, detects emotions like joy, anger, sadness, fear, and flags sarcasm for deeper profiling. Turn raw text into actionable intelligence for support, social listening, marketing, and product strategy.

LM-Kit.NET Additional Categories

Generative AI

LM-Kit.NET brings generative AI to your .NET apps through a single NuGet package, enabling chatbots, text generation, content retrieval, NLP, translation, and function calling with minimal setup, while on-device inference powered by hybrid CPU and GPU acceleration delivers fast local processing and strong data security; continuous updates keep the toolkit current with the latest models so you can build high-performance, context-aware solutions that meet evolving business needs without revealing any AI origin.

LM-Kit.NET Reviews

Write a Review
  • Ulisses C.
    Developer
    Used the software for: Free Trial
    Frequency of Use: Daily
    User Role: User, Administrator, Deployment
    Company Size: 1 - 25
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Innovative product"

    Posted 2025-06-07

    Pros: The product stands out for its innovation in the .NET ecosystem, making it easier for developers to use artificial intelligence.

    Cons: The pricing policy could be adapted to suit indie developers. There is a community version, but it could have an intermediate plan.

    Overall: The library is fantastic, with many features. It makes it easy to integrate different models. I recommend it.

    Read More...
  • GEORGIOS T.
    Software Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: Deployment
    Company Size: 1 - 25
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Great product to learn and experiment"

    Posted 2025-05-21

    Pros: This is a very well built and maintained package that makes working with LLM's a piece of cake. It was very easy to setup and experiment using various models, without worrying too much about the details.

    Cons: I was a bit puzzled at first when trying to output word-by-word responses, as the Event AfterTokenSampling was only described in the API Reference and I didn't find it in the examples.

    Overall: The API Reference is detailed and useful, as are the examples. Overall I had a fun experience and I definitely recommend the library.

    Read More...
  • A LM-Kit.NET User
    Curriculum Developer (School)
    Used the software for: 6-12 Months
    Frequency of Use: Daily
    User Role: User
    Company Size: 1 - 25
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Development of a personal Agent on LM-Kit"

    Posted 2025-05-18

    Pros: It works very fast and clearly. Simple to learn and easy to use. Good documentation. Very responsive support. Many useful functions. Can work autonomously. Any models can be supported. There are special molecules and properties.

    Cons: Well, I haven't noticed any bad features. This project is developing quickly. It is constantly being improved. And if errors occur, the developers quickly fix them. I can't write anything bad. I like everything.

    Overall: It works very fast and clearly. Simple to learn and easy to use. Good documentation. Very responsive support. Many useful functions. Can work autonomously. Any models can be supported. There are special molecules and properties.

    Read More...
  • Nagendra Kumar B.
    Senior Analyst
    Used the software for: Free Trial
    Frequency of Use: Weekly
    User Role: User
    Company Size: 20,000 or More
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Streamlining .NET AI Development with LM-Kit.NET"

    Posted 2025-05-04

    Pros: LM-Kit.NET significantly simplifies the integration of Large Language Models (LLMs) into .NET applications. Its key strengths lie in its ease of use, allowing developers to implement complex AI functionalities like text generation, translation, and sentiment analysis with minimal code. The on-device processing capabilities enhance data privacy and reduce latency, which is crucial for real-time applications. The comprehensive documentation and active community support further accelerate the development process. The support for various hardware setups, including both CPU and GPU, provides flexibility and optimization.

    Cons: As a relatively new product, the ecosystem and available resources beyond the core documentation might still be growing. While the core features are robust, advanced customization options for very specific or niche AI tasks could be further expanded. More detailed examples and tutorials for complex use cases would be beneficial for users with less AI experience.

    Overall: LM-Kit.NET is a powerful and promising tool for .NET developers looking to incorporate cutting-edge AI into their applications. It effectively abstracts away the complexities of working with LLMs, enabling developers to focus on building innovative solutions. The focus on on-device processing, combined with a comprehensive feature set, makes it a strong contender for enterprise-grade AI development. While the ecosystem is still maturing, the potential and core functionality of LM-Kit.NET are impressive, and it holds great promise for the future of AI-powered .NET development.

    Read More...
  • Jonathan P.
    Consultant
    Used the software for: Free Trial
    Frequency of Use: Weekly
    User Role: User
    Company Size: 1 - 25
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Easy to use with .NET and very powerful!!"

    Posted 2025-04-30

    Pros: I have used .NET since it was beta and I was very impressed by how easy it is to implement LM-Kit.NET! Not only am I able to easily implement the LM-Kit.NET APIs into my applications but the demos are easy to follow and learn! The learning curve to develop using LM-Kit.NET is not as steep as I expected (as compared to its competitors). I look forward to more features in the future!

    Cons: Some of the demos could not compile properly probably because they were outdated. This is very minor!

    Overall: Very enjoyable to learn! The LM-KIT.Net goes very nicely with C# and .NET. Since I use Visual Studio 2022 extensively, the demos and the applications I write using this kit compiles great without any major issues. I highly recommend it!!

    Read More...
  • Alfredo H.
    CEO
    Used the software for: Free Trial
    Frequency of Use: Weekly
    User Role: Administrator, Deployment
    Company Size: 26 - 99
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "An excellent software development library"

    Posted 2025-04-27

    Pros: For the moment, we are in the prototype phase for several use cases with a view to integrating into a major electronic document-management solution. LM-Kit is completely satisfying thanks to its ease of use. The support team is very responsive, and we have benefited from strategic advice.

    Cons: Connection with external RAGs. (maybe now is possible)

    Overall: - Very simple and quick to integrate into projects.
    - We will adopt it in our future projects.
    - This solution gives us independence from the major authors in IA integrations.

    Read More...
  • Thomas B.
    CTO
    Used the software for: 6-12 Months
    Frequency of Use: Daily
    User Role: Deployment
    Company Size: 1 - 25
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Incredible AI toolbox"

    Posted 2025-04-26

    Pros: I spent months trying incomplete local RAG toolkits for .NET. Semantic Kernel broke with each update, and most open-source choices crashed a lot. Then ChatGPT pointed me to LM-Kit. In one afternoon I had a simple, solid setup running on my own PC.
    The LM-Kit team keeps adding handy new features every week and this is permitting us to discover new use cases frequently.

    Cons: I don't see any cons. Maybe they should need voice support but I don't really need that today.

    Overall: To me this tool is overlooked, I wish I've found it before wasting a lot of time with incomplete or poor quality tools.

    Read More...
  • Ankur A.
    CTO
    Used the software for: Free Trial
    Frequency of Use: Daily
    User Role: User
    Company Size: 26 - 99
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "AI plug n play"

    Posted 2025-04-25

    Pros: Its like a plug and play for AI use in the C# based apps, I have used this as a testing in my new app to do the sentiment analysis and auto responses to customers and worked fine.

    Cons: The pricing is bit high if I purchase this, there should a free tier for startup companies, I got a license key for community version.

    Overall: Overall experience is good. It saved time in implementing AI features and gives an overall idea of how the AI will work on the C# based applications, for which we don't have good community support yet for AI.

    Read More...
  • A LM-Kit.NET User
    Solution Engineer
    Used the software for: Less than 6 months
    Frequency of Use: Weekly
    User Role: User
    Company Size: 26 - 99
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Life changing tool!"

    Edited 2025-02-05

    Pros: As a solution engineer, I’ve tried many (mostly bad) AI tools in .NET, and LM-Kit.NET is by far the best for integrating LLM. It’s versatile, high-performance, and super easy to use/implement.
    I especially liked the text completion, NLP, summarization, and translation with minimal setup.

    Cons: After around 4-5 month usage, I do not have any "cons" to say.
    It seems like a new product on the market and I'm quite curious about its future and what will be implemented next.

    Overall: After a few months of use, I can't think of a single bad thing to say about it. It was super easy to implement, it's fast, accurate, and I haven’t had any issues with it.

    Highly recommend!

    Read More...
  • Previous
  • You're on page 1
  • Next