Flowise Tines 3B

Both tools give you visual builders to connect LLMs into automated steps without writing pipeline code from scratch. You can run test runs on zero-dollar starter tiers, drop human-in-the-loop review checks into active runs, and orchestrate agent tasks alongside existing tools. They both treat AI as an execution step inside a broader logic chain rather than just a standalone prompt window.

Flowise wins on raw LLM architecture control and price transparency. You can run the code locally via npm, tap into over 100 vector databases and model providers, and export execution traces straight to Prometheus or OpenTelemetry. Its pricing is public, topping out at $65 per month for 50,000 predictions, whereas Tines hides its paid tiers behind a mandatory sales call.

Tines 3B wins on enterprise reliability and long-term viability. Flowise is sunsetting its platform, making it a non-starter for new production builds. Tines also handles broader IT and security workflows, letting you mix deterministic API actions with AI steps while providing pre-deployment testing, native failure monitoring, and unlimited team seats on its free tier.

Pick Flowise if you need a cheap, self-hosted sandbox to prototype custom RAG pipelines across different vector stores, pick Tines 3B if you need a supported, enterprise-grade engine to run cross-system operational workflows with built-in error tracking.