Top 5 no‑code automation tools in 2026 (and why you also need AI agents with context)

What this post added

This post introduces the concept of combining no-code automation tools with context-aware AI agents, positioning Glean's AI agents as a complementary layer that addresses the limitations of traditional no-code solutions. It highlights how AI agents can leverage deep enterprise context (knowledge in docs, tickets, historical activity, relationships) to reason, adapt, and act, thereby enhancing complex, knowledge-driven workflows. The post contrasts event-driven, rules-based no-code tools with goal-driven, context-aware AI agents, emphasizing the latter's ability to understand intent, pull relevant context, and decide which tools to use. It positions Glean's agents as filling the gap where no-code tools hit a wall due to rigid logic, shallow reasoning, and lack of memory or learning.