FIG 1.2

AI agents that run your back office

Agents with memory, tools and guardrails, built visually, monitored in real time, escalating to humans when it matters.

A HiveFlow agent is an LLM node with superpowers: persistent memory, function calling over your integrations, built-in apps (CRM, Kanban, Inventory) it can operate, and a full execution console so you always know what it did and why.

Memory that persists

Conversation and entity memory across runs, agents remember customers, context and decisions.

Tools via function calling

Agents decide when to call your CRM, send a WhatsApp or query a database, you watch every round live.

Human handoff

Approval gates and live takeover: humans step in exactly where the flow says so.

Full observability

Node-by-node execution, token usage, cost per run and complete history, no black boxes.

From idea to working agent

01

Drop an LLM node

Choose the model, write the objective, attach memory.

02

Give it tools

Connect integrations and built-in apps, the agent uses them autonomously.

03

Ship it anywhere

Chat widget, WhatsApp, API or scheduled runs, same agent, every channel.

Build it on Hiveflow today