ollama
koboldcpp
| ollama | koboldcpp | |
|---|---|---|
| 750 | 185 | |
| 173,924 | 10,754 | |
| 2.0% | 4.5% | |
| 9.9 | 0.0 | |
| about 12 hours ago | about 13 hours ago | |
| Go | C++ | |
| MIT License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ollama
-
Set Up Your Own ChatGPT: Ollama + Open WebUI for Data That Never
Download: Go to https://ollama.com/ and click on the download link for your operating system.
-
I Built a Free, Fully Local AI Resume Builder — No Subscriptions, No Cloud, No Catch
Most AI resume tools call out to OpenAI or Anthropic and charge you for every request. Persona supports Ollama — which means you can run the AI model locally on your own hardware, with zero API costs and zero data leaving your machine.
-
Sovereign Synapse: The Local Brain
To solve these, we built a stack that prioritizes integrity over ease. The centerpiece is Ollama, running the mxbai-embed-large model locally. This is the engine that translates human thought into high-dimensional coordinates.
-
How I Built a Self-Funding AI Lab: From Hobby to Side Income in 6 Months
Ollama for model serving
-
Flat Chat Threads Suck for Reading Books. So I Built a Local-First AI Tree Companion.
Fully offline: Point it at Ollama or LM Studio. Zero cost, nothing leaves your network.
-
Local LLM Hardware Requirements in 2026: What You Actually Need for Every Model Tier [Guide]
Recommended hardware: The RTX 3060 with 12 GB VRAM is the budget king here — all these models fit with room to spare for KV cache overhead, even Gemma 4:12B (which needs ~8.5–9 GB with overhead). An RTX 4060 Ti 16 GB gives you more headroom. On the Apple side, any M2 or M3 MacBook with 16 GB unified memory handles these models comfortably via Ollama's Metal backend.
-
Run Coding Agents on Local AI — Zero Cloud, Full Control
This guide shows how to swap out every cloud API with a local Ollama server running qwen3-coder:30b. Same tools, same workflows, no data leaving your network.
-
Running Brand-New Gemma 4 12B on an 8-Year-Old GTX 1080 Ti: Speed, 3 Gotchas, and Why Q8 Beat Q4 on My Own Field
Related: 35B MoE on 2× 1080 Ti · Ollama
-
Agent Skills in Microsoft Agent Framework
The sample is a tiny console app running entirely against a local Ollama model — no cloud keys, and every HTTP call is traced so I can see exactly what goes over the wire (complete sample code). There's a single skill on disk:
-
Quick and easy local AI RAG setup with JetBrains IDE integration and browser UI
irm https://ollama.com/install.ps1 | iex
koboldcpp
-
Best Free AI Chatbots Without Login (over TOR and Anonymous)
https://github.com/LostRuins/koboldcpp Download models at HuggingFace and run them locally. No logins, no spying, no hidden data harvesting.
-
LM Studio is now an MCP Host
Oh, that horrible Electron UI. Under Windows it pegs a core on my CPU at all times!
If you're just working as a single user via the OpenAI protocol, you might want to consider koboldcpp. It bundles a GUI launcher, then starts in text-only mode. You can also tell it to just run a saved configuration, bypassing the GUI; I've successfully run it as a system service on Windows using nssm.
https://github.com/LostRuins/koboldcpp/releases
Though there are a lot of roleplay-centric gimmicks in its feature set, its context-shifting feature is singular. It caches the intermediate state used by your last query, extending it to build the next one. As a result you save on generation time with large contexts, and also any conversation that has been pushed out of the context window still indirectly influences the current exchange.
- LostRuins/koboldcpp: Run GGUF models easily with a KoboldAI UI
-
Hosting HuggingFace Models with KoboldCpp and RunPod
KoboldCpp is a popular text generation software for GGML and GGUF models. It also comes with an OpenAI-compatible API endpoint when serving a model, which makes it easy to use with LibreChat and other software that can connect to OpenAI-compatible endpoints.
- AMD Inference
- Any Online Communities on Local/Home AI?
- Koboldcpp-1.62.1 adds support for Command-R+
- Show HN: I made an app to use local AI as daily driver
-
Easiest way to show my model to my mom?
FYI this is the easiest way to host on the horde: https://github.com/LostRuins/koboldcpp
- IT Veteran... why am I struggling with all of this?
What are some alternatives?
SillyTavern - LLM Frontend for Power Users.
textgen - Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
llama.cpp - LLM inference in C/C++
mlc-llm - Universal LLM Deployment Engine with ML Compilation