Skip to main content
First, you’ll need to clone the Agentset repo and install the dependencies.
1

Clone the repo

First, clone the Agentset repo.
Terminal
git clone https://github.com/agentset-ai/agentset.git
2

Install dependencies

Run the following command to install the dependencies:
Terminal
pnpm i
3

Set up environment variables

Convert the .env.example file to .env. You can start filling in the first few environment variables:
Terminal
# Default vector database (used when users select the Agentset managed option)
DEFAULT_PINECONE_API_KEY=pcsk_xxx
DEFAULT_PINECONE_HOST="https://xxx.svc.xxx-xxx-xxx.pinecone.io"

# Cohere API key (used for re-ranking)
DEFAULT_COHERE_API_KEY=xxx

# Default models (used when users select the Agentset managed option)
DEFAULT_AZURE_RESOURCE_NAME=xxx
DEFAULT_AZURE_API_KEY=xxx
DEFAULT_AZURE_EMBEDDING_DEPLOYMENT=text-embedding-3-large
DEFAULT_AZURE_LLM_DEPLOYMENT=gpt-4.1

# Trigger.dev secret key (for workflow orchestration)
TRIGGER_SECRET_KEY=tr_dev_xxx
We currently use azure openai models as the default (when users pick the Agentset managed option). If you’d like to change that, update apps/web/src/lib/embeddings.ts and apps/web/src/lib/llm.ts to use a different provider.
You will fill in the remaining environment variables in the following steps.

​
Next Steps

Once you’ve completed the local setup, proceed to Step 2: Upstash to set up your Redis database and queue management.