[bot] build markdown from awesome-selfhosted-data 17624ff

This commit is contained in:
awesome-selfhosted-bot
2026-07-08 10:31:35 +00:00
parent 8fca4efcca
commit ce071f3875
+1 -1
View File
@@ -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`