Tool guides

AI agent development tools in 2026: Cursor and Flowise

An agent that edits software and a visual agent-workflow builder solve different problems. Cursor centers work around a codebase and development tasks. Flowise centers work around connected components and tool-enabled assistants. This guide helps decide which workflow to test first.

1. Cursor

For working directly on software

Cursor describes a coding agent that can take development tasks, work in parallel and operate across a desktop interface, terminal, Slack and GitHub review workflows. Its current site emphasizes delegation followed by review. Compare it when your main artifact is source code and your team already uses repository-based development.

Startup profile · Official source

2. Flowise

For visual agent and retrieval workflows

Flowise describes an open-source platform with modular building blocks for multi-agent systems and chat assistants. Its official site lists tool calling, retrieval from data sources, human review, execution traces, APIs and SDKs. Compare it when seeing the connections between model, retrieval and tools is central to how you build and debug.

Startup profile · Official source

What to test before choosing

Start with one narrow task and a test set. Measure successful completion, failure recovery and cost rather than relying on a polished demonstration.
Separate permission to read a system from permission to write to it. Add human review around effects that are costly or difficult to undo.
Record tool calls and inspect failures. A useful agent workflow needs a recovery path, not only a successful happy-path demo.

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