
MobaXterm
PuTTY
ConEmu
KiTTY
Gnome Terminator
GNOME Terminal
iTerm2
Cygwin
llama.cpp
LM Studio
Ollama
Ava PLS
Hugging Face
opencode
Podman
Ratatui
MobaXtermBased on our record, MobaXterm should be more popular than llama.cpp. It has been mentiond 42 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.
JetBrains IDEs: https://www.jetbrains.com/ (free alternative: Visual Studio Code plus DB tools like DBeaver, or even their community versions) MobaXTerm: https://mobaxterm.mobatek.net/ (free alternative: mRemoteNG, PuTTY) GitKraken: https://gitkraken.dev/ (free alternative: SourceTree, Git Cola) FreeFileSync: https://freefilesync.org/ (free, but I got the supporter edition because comfy software) In those cases,... - Source: Hacker News / 12 months ago
If you don't already have MobaXterm installed, download and install it from the official MobaXterm website. - Source: dev.to / about 2 years ago
> I don't know a single techie person who uses Windows (other than for gaming) I'd say that Windows actually has some nice software, like MobaXTerm: https://mobaxterm.mobatek.net/ which in my eyes is better than Remmina or pretty much anything I've found on nix, short of just running the same thing on Wine. WinSCP is also pretty cool, albeit nothing particularly special: https://winscp.net/eng/index.php PowerToys... - Source: Hacker News / about 2 years ago
For working with remote machines that I need to ssh into I've found mobaXTerm[1] to be a very useful terminal emulator. It has an optional remote monitoring feature that shows the usual stats as a small bar under the active terminal window. It's a windows only application though. [1] https://mobaxterm.mobatek.net/. - Source: Hacker News / over 2 years ago
There are various SSH clients available for Windows (PuTTY, Solar-PuTTY, MobaXterm, Termius, etc) but if you use Windows versions older than 10, the installation of PuTTY is suggested. Source: over 2 years ago
A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 28 days ago
Yes, for a local source build: pull the latest commit from ggml-org/llama.cpp and recompile. Tagged binary releases lag the continuous builds. Check the GitHub releases page for a pre-built artifact if you want to skip compilation, but verify the build number includes the b9437 changes before treating it as current. - Source: dev.to / about 1 month ago
That script grew up. Today I'm releasing LlamaStash, the first public release of a fast, cross-platform, terminal-native launcher for llama.cpp with zero overhead. - Source: dev.to / about 2 months ago
LlamaStash spawns the unmodified upstream llama-server. So three different questions follow from that, and there is a benchmark suite for each. - Source: dev.to / about 2 months ago
Last week, I spent two days banging my head against a wall. I had just spun up a fresh llama.cpp build with multi-token prediction (MTP) support, loaded a quantized Qwen3 model, and ran my benchmark suite expecting that sweet 2-3x speedup everyone keeps talking about. - Source: dev.to / 2 months ago
PuTTY - Popular free terminal application. Mostly used as an SSH client.
LM Studio - Discover, download, and run local LLMs
ConEmu - ConEmu-Maximus5 is a full-featured local terminal for Windows devs, admins and users. Get better console window with tabs, splits, Quake style, copy+paste, DosBox and PuTTY integration, and much more.
Ollama - The easiest way to run large language models locally
KiTTY - KiTTY is a fork from version 0.70 of PuTTY. It adds extra features to PuTTY.
Ava PLS - Desktop app for running LLMs locally