# AgentX > AgentX is an AI agent platform that lets you visually build, evaluate, and deploy multi-agent workflows to production — or have the AgentX team automate your manual operations end-to-end. AgentX is a web-based platform for building, evaluating, and deploying AI agents and multi-agent workflows. It targets both solo builders who want to ship production agents themselves and operations teams who want a managed automation service. The homepage states it is trusted by 150,000+ users worldwide. ## What It Is AgentX positions itself as an end-to-end AI agent platform organized around three pillars: Build, Evaluate, and Deploy. Unlike platforms that stop at prototyping, AgentX includes a structured evaluation framework — test datasets, LLM-as-a-judge scoring, and regression tracking — before any agent reaches production. It also offers a managed "We Build It For You" track where the AgentX team scopes, builds, deploys, and operates a workflow on behalf of enterprise customers. ## How the Build–Evaluate–Deploy Loop Works The platform's core workflow follows three sequential stages: - **Build:** A drag-and-drop visual builder lets users design multi-agent workflows. An orchestrator agent coordinates specialized sub-agents, each with its own role, knowledge access, and permissions. Users can bring their own LLM or choose from supported models, add custom tools via code or chat, and configure human-in-the-loop checkpoints at any step. - **Evaluate:** Before deployment, agents run against test datasets built from real historical cases. The system measures accuracy per field and scenario, surfaces edge cases and failure modes, and generates AI-powered analysis with suggested fixes. Post-deploy, continuous monitoring tracks drift and routes low-confidence outputs to human review. - **Deploy:** One-click deployment to API, Slack, Microsoft Teams, WhatsApp, web widget, email, or voice. Deployments are versioned with instant rollback, and every run produces full logs and traces. ## Multi-Agent Architecture and Knowledge Layer AgentX is built for teams of agents rather than single chatbots. The orchestrator–sub-agent model gives each agent a defined role and scoped data access, which the product page says reduces context explosion and improves resistance to prompt injection. A dedicated Knowledge Layer provides each agent with a private RAG database, hybrid search with re-ranking, knowledge graphs for structured relationships, and high-fidelity parsing of complex PDFs, spreadsheets, and scans. ## Enterprise Deployment and Security The enterprise track supports cloud, hybrid, and full on-premise deployment. Security controls listed on the enterprise page include: - Encryption in transit (TLS 1.3) and at rest (AES-256) - Role-based access control (RBAC) with granular permissions - SSO via SAML 2.0 / OIDC - Workspace isolation across departments or tenants - Sandboxed MCP tool execution - Full audit trail on every agent action - No customer data used to train external models The enterprise page notes alignment with SR 11-7, DORA, EU AI Act, MAS, HKMA, GDPR, and SOX frameworks, and states a SOC 2 report is available on request. Average time from scope to production for the managed track is stated as under 30 days. ## Integrations and Tools AgentX connects to the stack teams already use. The product page lists built-in tools (image generation, document generation, web search), pre-configured MCP connections (Calendly, Google Sheets, Mailchimp, and others), and support for custom tools written in code or via conversational "vibe-coding." Deployment channels include Slack, Teams, WhatsApp, web widget, email, and voice. The platform also supports webhook-driven workflows and scheduled triggers. ## Who It Is For The platform serves three distinct audiences as described on the pricing page: solo builders and internal teams shipping their own agents; agencies and consultancies deploying white-labeled agents for clients; and operations leaders at companies with roughly 100–1,500 employees who want a manual process automated without managing a platform themselves. The white-label plans include dedicated client workspaces so end clients never see the AgentX brand. ## Features - Visual drag-and-drop multi-agent workflow builder - Orchestrator and sub-agent architecture - Built-in agent evaluation framework with LLM-as-a-judge scoring - Pre-deploy and continuous post-deploy monitoring - One-click deployment to API, Slack, Teams, WhatsApp, web widget, email, and voice - Versioned deployments with instant rollback - Private RAG knowledge bases per agent - Hybrid search with re-ranking and knowledge graphs - Human-in-the-loop checkpoints - Custom tools via code or conversational chat - Pre-configured MCP integrations (Calendly, Google Sheets, Mailchimp, etc.) - White-label deployment for agencies - Dedicated client workspaces - RBAC with granular permissions - SSO (SAML 2.0 / OIDC) - Workspace isolation - Sandboxed MCP tool execution - Full audit logs on every agent action - Cloud, hybrid, and on-premise deployment - Scheduled triggers and webhook-driven workflows - Usage analytics and conversation logs - Chat-to-build conversational workflow creation - Templated prompts for common use cases - Bring-your-own LLM support ## Integrations Slack, Microsoft Teams, WhatsApp, Calendly, Google Sheets, Mailchimp, ERP systems, CRM platforms, Helpdesk platforms, SFTP, Custom APIs, Webhooks ## Platforms WEB, API ## Pricing Freemium — Free tier available with paid upgrades ## Links - Website: https://www.agentx.so - Documentation: https://www.agentx.so/resources/agentx-tutorial/ - EveryDev.ai: https://www.everydev.ai/tools/agentx