LM Studio VS Jan.ai
Compare LM Studio VS Jan.ai and see what are their differences
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LM Studio
GPT4All
AnythingLLM
Hyperlink by Nexa AI
Ollama
Glean AI
NotebookLM
Perplexity.ai
Jan.ai
AnythingLLM
GPT4All
Ollama
ChatGPT
Nexa SDK
Hyperlink by Nexa AI
Perplexity.ai
LM StudioBased on our record, LM Studio should be more popular than Jan.ai. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
LM Studio[0] is the best "i'm new here and what is this!?" tool for dipping your toes in the water. If the model supports "vision" or "sound", that tool makes it relatively painless to take your input file + text and feed it to the model. [0]: https://lmstudio.ai/. - Source: Hacker News / 10 days ago
LM Studio - Local AI development environment. - Source: dev.to / 28 days ago
If you're running LLMs locally, you've probably used Ollama or LM Studio. They're both excellent tools, but I hit some limitations. LM Studio is primarily a desktop app that can't run truly headless, while Ollama requires SSH-ing into your server every time you want to switch models or adjust parameters. - Source: dev.to / 29 days ago
LM Studio 0.3.17 introduced Model Context Protocol (MCP) support, revolutionizing how we can extend local AI models with external capabilities. This guide walks through setting up the Docker MCP Toolkit with LM Studio, enabling your local models to access 176+ tools including web search, GitHub operations, database management, and web scraping. - Source: dev.to / about 1 month ago
The real breakthrough is that Codex also supports open-source, self-hosted models. With the --oss flag or a configured profile, you can run inference locally through providers like Ollama, LM Studio, or MLX. - Source: dev.to / about 1 month ago
I really like Jan, especially the organization's principles: https://jan.ai/ Main deal breaker for me when I tried it was I couldn't talk to multiple models at once, even if they were remote models on OpenRouter. If I ask a question in one chat, then switch to another chat and ask a question, it will block until the first one is done. Also Tauri apps feel pretty clunky on Linux for me. - Source: Hacker News / about 2 months ago
I believe there's a couple of similar apps like https://msty.app and https://jan.ai that do the same and allow you to plug in your own API keys. - Source: Hacker News / 3 months ago
Head over to jan.ai and grab the installer for your OS (Windows, macOS, or Linux). It’s a single binary—no setup scripts, containers, or dependencies to wrestle with. - Source: dev.to / 3 months ago
Previously, the game logic was almost completely defined by the prompt we sent to the LLM chatbot. While the game worked almost perfectly with Gemini through OpenRouter, I quickly exhausted the limit. Fortunately, the code worked with the compatible API offered by Jan.ai, a tool to manage LLM models locally. However, the game logic breaks whenever I change to a new model. Minor adjustments needed to be made for... - Source: dev.to / 5 months ago
Https://jan.ai is open source and works on linux. - Source: Hacker News / 7 months ago
GPT4All - A powerful assistant chatbot that you can run on your laptop
AnythingLLM - AnythingLLM is the ultimate enterprise-ready business intelligence tool made for your organization. With unlimited control for your LLM, multi-user support, internal and external facing tooling, and 100% privacy-focused.
Hyperlink by Nexa AI - Hyperlink is a local AI agent that searches and understands your files privately—PDFs, notes, transcripts, and more. No internet required. Data stays secure, offline, and under your control. A Glean alternative built for personal or regulated use.
Ollama - The easiest way to run large language models locally
ChatGPT - ChatGPT is a powerful, open-source language model.
Glean AI - Glean AI is the only AP solution that analyzes line-item data on invoices to provide business insights to help save 10%-15% on vendor spend in addition to powerful automation that allows companies to pay invoices faster and cut out the manual work.