AgentBrains is the first full-stack platform to Build, Run, and Manage production level AI agents

Structuring Policies that build LLM ready docs
Clean and Structured Data is key to production Agents. We make the process painless.
Vectorized Indexes that are easy
Embedded indexes live inside your Knowledge Base, so they're instantly available whenever you need them.
Images that are Labeled and Indexed
Need your Agents to go beyond text? We support rich communication — including images.

Custom Set of Tests for each Conversation
AI-driven testing ensures every conversation meets performance, accuracy, and compliance standards.
Single Aggregate Score Label on each Conversation
Scoring is necessary to determine quality of conversations - reading each conversation is not practical
Validation with Digital Twins.
Agents testing is not an OPTION - Agents must be tested over and over again. Creating custom conversations between Agents and Synthetic Users must be fast and simple. Validation allows Agents to launch and to continually be improved

Customize Synthetic QAs for your Agents

Attach QA to your Specific Agent

Customize Scoring Tests for each QA

Analyze batches of QA conversation and provide recommendations
Workflow samples

Website Assistant
This sample agent shows how quickly you can go from a finished Knowledge Base to a live, production-ready website assistant. With the Agent Brains Trigger node handling the connection to your site and AB's dedicated RAG tools pulling answers, images, and up-to-date pricing directly from your Knowledge Base, the heavy lifting is already done. Just wire up a few nodes, publish the workflow, and your customers are talking to an agent that knows your business inside and out.

Customer Support Agent
A multi-agent customer support system built with Agent Brains n8n nodes. When a customer sends a message, an Evaluator Agent analyzes the query and routes it to the right specialist — a Greeting Agent for hellos, an Identifier Agent for product lookups, a Product Agent for detailed product or manual questions, a Clarification Agent when more info is needed, or a General Agent for everything else. Each specialist pulls real-time context from Agent Brains RAG nodes (product catalogs, manuals, and company data), with guardrails in place to keep responses safe and on-topic. The final output is formatted as clean markdown with embedded images and sent back as a structured JSON response.

Sales Agent
The first AI Employee built to actually sell, not just chat. It knows your products better than anyone, holds firm boundaries against manipulation, and expertly closes deals while you sleep. Welcome to the future of e-commerce.

Marketing Article Writer
This agent turns a simple topic prompt into a polished, brand-aligned article. It pulls from your Knowledge Base to get the facts, messaging, and tone right — so every piece reads like it was written by someone who actually knows the business. When the article calls for visuals, the agent grabs relevant images straight from your AB image library and places them in context. The result is a ready-to-review draft, complete with text and visuals, delivered back to the AB platform for your team to approve or publish.
Admin Panel
Easy to Understand
Tree of Knowledge
Conversation managing Inbox
with filters
Analysis reports
for Batches of Conversation
Simple Numerical Performance Score
for each Conversation
At a Glance
5,000+
Production Agents Deployed
Powering sales, support, and internal operations across 30+ industries.
600k+
Monthly Conversations
Securely streamed, logged, and managed inside our unified Inbox.
100%
Automated QC Scoring
Powering sales, support, and internal operations across 30+ industries.
3M+
Data Sources Structured
Raw PDFs, URLs, and docs automatically parsed and embedded into clean Vector DBs.
10M+
Images Labeled
Images properly Labeled and stored for use inside of conversations.

Let’s Build Your AI Team Together!
With AgentBrains, it's not about pushing a button—it's about crafting AI employees that truly represent your brand and values.



![Div [demo]](/_next/image?url=%2Fapi%2Fmedia%2Ffile%2FDiv%2520%255Bdemo%255D-1.webp&w=3840&q=75)












