TheYgent

Build agents on a canvas. Run them where you point.

TheYgent is a self-hosted, no-code AI agent builder with built-in local inference — private by default, no telemetry, and it runs fully offline. Compose an agent visually (LLM steps, MCP tools, retrieval, routers, guardrails, human approval) and run it on models on your infrastructure: llama.cpp anywhere, MLX on Apple Silicon, vLLM (experimental) on NVIDIA GPUs, or any OpenAI-compatible API you register. Local and hosted models mix freely in one graph, chosen per node and per call.

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Watch: Voice in, voice out — a no-code AI agent pipeline

Runs models from the Hub

TheYgent installs models straight from Hugging Face through an in-app catalog — every quantization shows whether it fits your machine's memory before you download it. Installed weights register as local files, and the matching engine starts on the first call and unloads when idle; there is no separate model server to run.

Browse models that run in TheYgent:

What's in the box

Quickstart

git clone https://github.com/al2m4n/TheYgent.git
cd TheYgent
cp .env.example .env
make up   # then open http://localhost:5174

Self-hosts on macOS and Linux — bare metal, Docker Compose, or Kubernetes. Fair-code under the Sustainable Use License.