ai-suite
Verified Safeby trevorsandy
Overview
An end-to-end suite for self-hosting AI agents, LLMs, and automation workflows locally or in the cloud.
Installation
python suite_services.py --profile cpuEnvironment Variables
- N8N_ENCRYPTION_KEY
- N8N_RUNNERS_AUTH_TOKEN
- N8N_USER_MANAGEMENT_JWT_SECRET
- JWT_SECRET
- ANON_KEY
- SERVICE_ROLE_KEY
- DASHBOARD_PASSWORD
- POSTGRES_PASSWORD
- FLOWISE_PASSWORD
- NEO4J_AUTH
- CLICKHOUSE_PASSWORD
- MINIO_ROOT_PASSWORD
- LANGFUSE_SALT
- NEXTAUTH_SECRET
- ENCRYPTION_KEY
- WEBUI_SECRET_KEY
Security Notes
The project uses Docker Compose to isolate services, and `docker-compose.override.private.yml` binds ports to localhost (127.0.0.1) for local deployments, enhancing security. However, for 'public' deployments, the `README.md` explicitly warns that `ufw` does not shield Docker-published ports, requiring careful network configuration (e.g., all traffic through Caddy on 443). The `suite_services.py` attempts to generate a `searxng` secret key, but if this fails, a default 'ultrasecretkey' is used. The `n8n_Pipeline.py` uses `aiohttp.ClientSession(trust_env=True)` which could be a risk if the host environment variables are compromised. The project provides comprehensive instructions for securing credentials, but the sheer number of required secrets increases the potential for misconfiguration by the user.
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