#python #ai_agents #amd #comfyui #docker #llama_cpp #llm #local_ai #n8n #nvidia #open_webui #rag #self_hosted #speech_to_text #strix_halo #text_to_speech #workflow_automation
Dream Server lets you run AI on your own machine instead of renting it from a cloud service. It works on Linux, Windows, and macOS, and it can set up chat, voice, agents, search, image tools, and privacy tools with one command. The main benefit is more control: your data stays with you, costs can be lower, and you can keep using AI even without a cloud account.
https://github.com/Light-Heart-Labs/DreamServer
Dream Server lets you run AI on your own machine instead of renting it from a cloud service. It works on Linux, Windows, and macOS, and it can set up chat, voice, agents, search, image tools, and privacy tools with one command. The main benefit is more control: your data stays with you, costs can be lower, and you can keep using AI even without a cloud account.
https://github.com/Light-Heart-Labs/DreamServer
GitHub
GitHub - Light-Heart-Labs/DreamServer: Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG…
Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions. - Light-Heart-Labs/DreamServer
❤1
#python #agentic_ai #agentic_workflow #agents #function_calling #llama_cpp #llamafile #llm #ollama #python #self_hosted #tool_calling
Forge is a Python tool that makes self-hosted LLM tool-calling more reliable. It helps local models handle multi-step tasks with guardrails, better context control, and support for Ollama, llama-server, Llamafile, and Anthropic. You can use it as a workflow runner, middleware, or proxy server with OpenAI-style clients. The benefit is fewer broken tool calls, better results on small models, and easier setup for agent apps, chat tools, and long-running sessions.
https://github.com/antoinezambelli/forge
Forge is a Python tool that makes self-hosted LLM tool-calling more reliable. It helps local models handle multi-step tasks with guardrails, better context control, and support for Ollama, llama-server, Llamafile, and Anthropic. You can use it as a workflow runner, middleware, or proxy server with OpenAI-style clients. The benefit is fewer broken tool calls, better results on small models, and easier setup for agent apps, chat tools, and long-running sessions.
https://github.com/antoinezambelli/forge
GitHub
GitHub - antoinezambelli/forge: A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows - antoinezambelli/forge