From ce071f3875cd0fdb0f821cf63c031f4aaf4efa5f Mon Sep 17 00:00:00 2001 From: awesome-selfhosted-bot Date: Wed, 8 Jul 2026 10:31:35 +0000 Subject: [PATCH] [bot] build markdown from awesome-selfhosted-data 17624ff --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c3d276de..5207232a 100644 --- a/README.md +++ b/README.md @@ -1080,7 +1080,7 @@ _Related: [Games](#games)_ - [Khoj](https://khoj.dev/) - Your AI second brain. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI. ([Demo](https://app.khoj.dev/), [Source Code](https://github.com/khoj-ai/khoj)) `AGPL-3.0` `Python/Docker` - [LibreChat](https://www.librechat.ai) `⚠` - Enhanced ChatGPT-compatible AI chat interface supporting multiple AI providers, with multi-user auth, message search, and plugin support. ([Demo](https://chat.librechat.ai), [Source Code](https://github.com/danny-avila/LibreChat)) `MIT` `Nodejs/Docker` - [LLM Harbor](https://github.com/av/harbor) - Containerized LLM toolkit. Run LLM backends, APIs, frontends, and additional services via a concise CLI. `Apache-2.0` `Docker/Shell` -- [LLMKube](https://llmkube.com) - Kubernetes operator for llama.cpp-native LLM inference with GPU scheduling, Apple Silicon Metal support, and OpenAI-compatible API. ([Source Code](https://github.com/defilantech/LLMKube)) `Apache-2.0` `Go/Docker/K8S` +- [LLMKube](https://llmkube.com) - Kubernetes operator for self-hosted LLM inference with pluggable runtimes (llama.cpp, vLLM, TGI, Ollama, vllm-swift), multi-GPU sharding, NVIDIA CUDA + Apple Silicon Metal support, and OpenAI-compatible API. ([Source Code](https://github.com/defilantech/LLMKube)) `Apache-2.0` `Go/Docker/K8S` - [Local Deep Research](https://github.com/LearningCircuit/local-deep-research) - AI-powered deep research tool with multi-source search (arXiv, PubMed, web), PDF text extraction, and encrypted local storage. `MIT` `Docker/Python` - [LocalAI](https://localai.io/) - Run your AI models locally and generate images and audio (alternative to OpenAI and Claude). ([Source Code](https://github.com/mudler/LocalAI), [Clients](https://localai.io/gallery.html)) `MIT` `Docker/K8S` - [Ollama](https://ollama.com/) - Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models. ([Source Code](https://github.com/ollama/ollama)) `MIT` `Docker/Python`