openmake/openmake_llm

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Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.

Обзор

Open-source AI workspace and agent runtime for local, open-weight, and OpenAI-compatible models. OpenMake orchestrates specialized models, agents, MCP tools, research, and sandboxed execution through a single self-hosted workspace. Live Demo · Documentation · Roadmap · Engineering Log Local-first · Self-hosted · Multi-model · Agents · MCP · BYOK One request, several models: the Planner runs a web search, a reasoning task, and image generation; the chat model then checks the sources and answers with citations and the generated image. Recorded from the running app (sped up). The installer checks your toolchain (Node.js 24, Docker, PM2), writes a .env with fresh secrets, starts PostgreSQL and Redis, builds OpenMake, launches it under PM2, and runs a health check. Then open the URL it prints, sign in as the administrator, and connect a model — a local vLLM or Ollama server, or any OpenAI-compatible endpoint. Runs on Linux and macOS (Windows: inside WSL2).

README

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OpenMake

Open-source AI workspace and agent runtime for local, open-weight, and OpenAI-compatible models.

OpenMake orchestrates specialized models, agents, MCP tools, research, and sandboxed execution through a single self-hosted workspace.

Live Demo · Documentation · Roadmap · Engineering Log

Local-first · Self-hosted · Multi-model · Agents · MCP · BYOK

한국어 · 日本語 · 简体中文 · Deutsch

One request, several models: the Planner runs a web search, a reasoning task, and image generation; the chat model then checks the sources and answers with citations and the generated image. Recorded from the running app (sped up).

Quick Start

curl -fsSL https://raw.githubusercontent.com/openmake/openmake_llm/main/install.sh | bash

On a fresh machine the installer sets up the prerequisites and the full stack (details below). With bash -s -- --minimal it installs only the app: it checks your toolchain (Node.js 24, Docker, PM2), writes a .env with fresh secrets, starts PostgreSQL and Redis, builds OpenMake, launches it under PM2, and runs a health check.

Then open the URL it prints, sign in as the administrator, and connect a model — a local vLLM or Ollama server, or any OpenAI-compatible endpoint.

Runs on Linux and macOS (Windows: inside WSL2). Manual setup, flags, updates, and reverse-proxy notes are in the self-hosting guide.

Открыть полный README на GitHub