Open-source AI agent workflow builder
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Sim Studio is an open-source platform for building, testing, and optimizing AI agent workflows, targeting developers and researchers who need to rapidly deploy LLMs integrated with various tools. It offers a visual interface for creating these agentic pipelines, simplifying complex AI orchestration.
How It Works
Sim Studio utilizes a Next.js (App Router) framework with PostgreSQL and Drizzle ORM for data management. It employs Better Auth for authentication and Shadcn/Tailwind CSS for its UI, with ReactFlow powering the visual flow editor. This stack provides a modern, robust foundation for building interactive AI applications.
Quick Start & Requirements
.env
from .env.example
(requires BETTER_AUTH_SECRET
), and run docker compose up -d --build
. Access at http://localhost:3000/w/
../sim/scripts/ollama_docker.sh pull <model_name>
to pull models. Start with ./start_simstudio_docker.sh --local
(CPU) or docker compose up --profile local-gpu -d --build
(GPU).docker compose up --profile local-cpu -d --build --network=host
or configure host.docker.internal
mapping in docker-compose.yml
.git clone
, cd sim/sim
, npm install
, copy .env.example
to .env
, set variables, npx drizzle-kit push
, npm run dev
. Access at http://localhost:3000
.Highlighted Details
Maintenance & Community
The project is maintained by the Sim Studio Team. Contribution guidelines are available.
Licensing & Compatibility
Licensed under the Apache License 2.0. This license is permissive and generally compatible with commercial use and closed-source linking.
Limitations & Caveats
Email verification codes are logged to the console if RESEND_API_KEY
is not set, requiring manual intervention or a configured email provider for production authentication flows.
23 hours ago
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