Local-first · Open source · Native desktop

Type an idea.
Watch it become a deployed app.

DevFoundry runs an autonomous software factory on your own machine — it designs, codes, tests, and deploys a real application while you watch, using your models (or fully offline).

macOS · Windows · Linux · Desktop, CLI & Web · No Docker required · Free deploys
📋 Spec + DesignPRD, architecture, design brief
→
⚡ CodebaseReact + Tailwind, real content
→
🗂 Tasksassigned to AI devs
→
🔧 Refineimplement + test
→
🚀 Deployfree hosting or local

Why DevFoundry

Cloud AI builders lock you in and take your code. DevFoundry keeps everything on your machine.

🔒

Local-first, actually

Your ideas, API keys, and every line of generated code stay on your laptop. No cloud, no telemetry.

🧠

Bring your own models

24 providers — Anthropic, OpenAI, Groq, Google, plus keyless OpenCode Zen and fully-local Ollama / LM Studio.

⚡

Zero-config

Nothing set up? It auto-detects a running local runtime and just works. Smart rotation & failover across providers.

🎨

Agency-grade output

A skills system, house design system, and RAG knowledge base push generated apps to sellable quality.

🚀

Free deploys, built in

Netlify, Vercel, Cloudflare Pages, Surge, Hugging Face Spaces — with custom domains — or local Docker/zip.

🔬

More than a builder

Deep Research (cited reports), an MCP plugin catalog, a code editor, live preview, and persistent history.

24LLM providers
17MCP plugins
7deploy targets
$0to run locally

Your models, your machine

Cloud or fully local — and it recommends the best local model for your hardware.

🖥️

Best local model for your specs

Detects your RAM, chip, and GPU (Metal) and recommends a model that fits — with the exact ollama pull command.

🔀

MoE + auto-router

A different expert model per pipeline stage, automatic failover on rate limits, and a one-click rotation built from every free provider you have.

🧩

Any gateway

OpenAI-compatible? It works — including self-hosted proxies like FreeLLMAPI.

Inside the app

Real screenshots — nothing mocked.

Forge page: idea input, skills, five-stage pipeline
Forge — idea in, pipeline streams live
Models page: 24 providers, auto-router, best local models for your machine
Models — 24 providers, auto-router, your-machine picker
History page: every build persisted
History — every build persisted, replayable

Get started

# 1. Install the desktop app — download for macOS / Windows / Linux:
#    https://github.com/KingLabsA/devfoundry/releases/latest

# …or build from source:
git clone https://github.com/KingLabsA/devfoundry.git
cd devfoundry/frontend && npm install && npm run tauri build

# …or use the CLI + web app (no desktop build needed):
cd devfoundry/backend && python3 -m venv .venv && .venv/bin/pip install -e .
.venv/bin/devfoundry serve   # web app at http://localhost:9100/app

# 2. (Optional) a free local brain — auto-detected:
ollama pull qwen2.5-coder:14b

# 3. Open the app → pick a Skill → type an idea → Forge It.
✓ spec → design → codebase → refine (build + tests) → deploy

Documentation

Everything is in the repo.