Wire low-code workflows to LLM reasoning: cognitive middleware for agents

Wire low-code workflows to LLM reasoning: cognitive middleware for agents targets a $20.0B = 400,000 mid+enterprise automation buyers x $50K ACV total addressable market with medium saturation and a year-over-year growth rate of 28% global iPaaS/automation growth; AI agent adoption growing faster (~40%+) in developer teams.

Key trends driving demand: Agentization -- production-grade agent patterns make multi-step reasoning a repeatable application architecture for workflows.; Low-code adoption -- developers and citizen integrators use n8n/Make/Pipedream to stitch services, creating an easy injection point for cognitive middleware.; Model diversity -- availability of open and hosted models enables cost/performance trade-offs and custom routing inside middleware.; Vectors-as-primary-storage -- vector DBs + retrieval augmenters are standard for memory and grounding in agent flows..