AnythingLLM
AnythingLLM is a private AI assistant that runs entirely on the user's computer, with no accounts, API keys, or token limits. It includes a preconfigured Meeting Assistant that automatically transcribes and summarizes calls using local models—NVIDIA's Nemotron 3 Diarization for speaker identification and Moondream's Parakeet Redux for transcription—with no bot joining the call and no cloud processing. The app runs on llama.cpp via AMD's open-source Lemonade engine, supporting CPU, GPU (Vulkan, CUDA, Metal), and NPU acceleration.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Traditional AI assistants rely on cloud processing, requiring users to send their data to external servers and exposing them to privacy risks, account requirements, API key management, and token limits. Meeting transcription and summarization tools likewise depend on cloud processing or invasive bots that join calls, compromising confidentiality and requiring complex setup.
Solution
AnythingLLM is a private AI assistant that runs entirely on the user's computer, with no accounts, API keys, or token limits. It includes a preconfigured Meeting Assistant that automatically transcribes and summarizes calls using local models—NVIDIA's Nemotron 3 Diarization for speaker identification and Moondream's Parakeet Redux for transcription—with no bot joining the call and no cloud processing. The app also features Magic Features that refine speech in real time with context awareness at the mouse pointer. It delivers a fully on-device experience across macOS, Windows, and Linux, with models running on llama.cpp via AMD's open-source Lemonade engine, which supports CPU, GPU (Vulkan, CUDA, Metal), and NPU acceleration. Users can download models directly from Hugging Face or ModelScope at their chosen quantization, and the app auto-recommends the best model for each user's hardware.
Target Audience
Primary users are privacy-conscious individuals and professionals who need on-device AI assistance for meetings, document analysis, and research, including knowledge workers, developers, and teams that handle sensitive information requiring local processing.
Features
- Meeting Assistant with on-device speaker diarization (up to 8 speakers) using NVIDIA Nemotron 3 Diarization and Parakeet Redux transcription, with a roughly 0.8 GB download and 200x faster-than-real-time GPU processing
- Magic Features that refine speech transcription in real time with context awareness of the user's screen
- Local model engine built on llama.cpp via the open-source Lemonade server, supporting CPU, GPU (Vulkan, CUDA, Metal), and NPU acceleration on AMD Ryzen AI and Snapdragon PCs
- Direct model downloads from Hugging Face or ModelScope at any quantization with no model registry or repackaging step
- Automatic hardware detection at install that configures the fastest available inference option and installs only necessary GPU libraries (about 137 MB on typical Windows PCs)
- Mobile companion app with on-device GGUF models, fit badges for hardware capability, and optional pairing with desktop, LM Studio, Ollama, or cloud providers while keeping data local
- Agent tools on mobile including web search, document retrieval, file generation, scheduling, calendar, and location, with chain-of-thought display, citations, and thread export to PDF, Markdown, or JSON