9 tools found
LLMOps platform for prompt management, LLM evaluation, and observability. Build, evaluate, and monitor production-grade LLM applications with collaborative prompt engineering. ([Source Code](https://github.com/agenta-ai/agenta)) `MIT` `Docker`
All-in-one desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more. ([Source Code](https://github.com/Mintplex-Labs/anything-llm)) `MIT` `Nodejs/Docker`
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`
Demo
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`
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`
Chat UI that works with any LLM. It comes loaded with advanced features like agents, web search, RAG, MCP, deep research, Connectors to 40+ knowledge sources, and more. ([Source Code](https://github.com/onyx-dot-app/onyx)) `MIT` `Docker/K8S`
User-friendly AI Interface, supports Ollama, OpenAI API. ([Source Code](https://github.com/open-webui/open-webui)) `BSD-3-Clause` `Docker/Python`
TuxSEO
