flow-like
Verified Safeby TM9657
Overview
Flow-Like is a visual workflow automation platform that focuses on building AI-powered workflows, data integration, and business process automation with transparency and type safety.
Installation
bun run --cwd ./apps/backend/local/api devEnvironment Variables
- DATABASE_URL
- STORAGE_PROVIDER
- S3_ENDPOINT
- S3_REGION
- S3_ACCESS_KEY_ID
- S3_SECRET_ACCESS_KEY
- META_BUCKET
- CONTENT_BUCKET
- LOG_BUCKET
- EXECUTION_KEY
- EXECUTION_PUB
- EXECUTION_KID
- REDIS_URL
- RUST_LOG
- OPENROUTER_API_KEY
- HOSTED_OPENAI_API_KEY
- HOSTED_ANTHROPIC_API_KEY
- HOSTED_AZURE_API_KEY
- HOSTED_AZURE_ENDPOINT
- OLLAMA_HOST
- API_URL
Security Notes
The project uses Rust for its core backend, which generally offers strong memory safety. External APIs (OpenRouter, Hugging Face, OpenAI, etc.) are heavily relied upon, introducing supply chain risks if compromised. Build scripts utilize `execSync` but are used in a controlled build context, not runtime. Sensitive API keys and credentials are properly configured via environment variables (e.g., `OPENROUTER_API_KEY`, `EXECUTION_KEY`). Production deployments, particularly on Kubernetes, emphasize strong isolation (e.g., Kata Containers), network policies, and workload identity over static keys, indicating a focus on security for the deployed 'MCP Server' components. The Python `model-evaluator` is a local utility, not a directly exposed server endpoint, reducing its direct attack surface.
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