# MagOneAI

## Docs

- [Citations and sources](https://helpcenter.magure.ai/agents/citations.md): Show users exactly which documents and web results an agent's answer came from
- [Knowledge bases and RAG](https://helpcenter.magure.ai/agents/knowledge-bases.md): Creating knowledge bases and using retrieval-augmented generation to ground agent responses in your documents
- [Agent overview](https://helpcenter.magure.ai/agents/overview.md): Understanding AI agents in MagOneAI — autonomous entities that execute tasks within Temporal workflows
- [Personas and prompts](https://helpcenter.magure.ai/agents/personas-and-prompts.md): Configuring agent personas, system prompts, and structured I/O for reliable, production-quality behavior
- [Document compliance review](https://helpcenter.magure.ai/cookbooks/document-compliance-review.md): Build a contract analysis workflow with compliance checking
- [HR Policy and Onboarding](https://helpcenter.magure.ai/cookbooks/hr-policy-assistant.md): Build an HR knowledge base assistant with RAG
- [IT Support Triage](https://helpcenter.magure.ai/cookbooks/it-support-triage.md): Build an IT support ticket triage and resolution workflow
- [KYB document verification](https://helpcenter.magure.ai/cookbooks/kyb-document-verification.md): Build a Know Your Business document verification workflow with parallel AI agents
- [5 bots you can build today](https://helpcenter.magure.ai/cookbooks/quick-bots.md): Quick, practical AI bot recipes — each takes under 10 minutes. No OAuth setup required.
- [RFP Proposal Analysis](https://helpcenter.magure.ai/cookbooks/rfp-proposal-analysis.md): Build a multi-agent RFP analysis workflow with parallel specialist agents
- [Sales intelligence assistant](https://helpcenter.magure.ai/cookbooks/sales-intelligence.md): Build a meeting preparation workflow with parallel research agents
- [Core concepts](https://helpcenter.magure.ai/core-concepts.md): Understand MagOneAI's architecture, terminology, and how structured autonomy powers reliable AI workflows
- [Introduction](https://helpcenter.magure.ai/index.md): MagOneAI is the enterprise agentic AI workflow platform built for AI sovereignty. Deploy on your infrastructure, connect any LLM, and run production-grade AI workflows with enterprise security from day one.
- [Cloud providers](https://helpcenter.magure.ai/models/cloud-providers.md): Configure OpenAI, Anthropic, and Google as LLM providers in MagOneAI
- [Model configuration](https://helpcenter.magure.ai/models/overview.md): Configure LLM providers and models across the MagOneAI platform
- [Private model deployment](https://helpcenter.magure.ai/models/private-models.md): Use privately hosted open-source models with MagOneAI for complete data sovereignty
- [Platform setup](https://helpcenter.magure.ai/platform-setup.md): Get your MagOneAI environment ready for building — organizations, projects, model providers, and tools
- [Admin Portal](https://helpcenter.magure.ai/platform/admin-portal.md): Manage organizations, users, LLM providers, and security policies from the control plane
- [Infrastructure](https://helpcenter.magure.ai/platform/infrastructure.md): Enterprise deployment architecture — Kubernetes, cloud infrastructure, LLM hosting, and network security
- [MagOneAI Hub](https://helpcenter.magure.ai/platform/magone-hub.md): The end-user interface for chatting with AI and running workflows
- [MagOneAI Studio](https://helpcenter.magure.ai/platform/magone-studio.md): The builder interface for creating agents, workflows, and integrations
- [Notifications](https://helpcenter.magure.ai/platform/notifications.md): Stay on top of what happens in your organization — in-app alerts and email for the events that matter
- [Organizations and projects](https://helpcenter.magure.ai/platform/organizations-and-projects.md): Understand the organizational hierarchy and multi-tenancy model
- [Support tickets](https://helpcenter.magure.ai/platform/support.md): Submit a support request, track its status, and reach the MagOneAI platform team
- [Usage & quotas](https://helpcenter.magure.ai/platform/usage-and-quotas.md): Govern how many LLM tokens your teams can use — with limits that cascade, stack, and never surprise you
- [Quickstart: Build your first AI bot](https://helpcenter.magure.ai/quickstart.md): Go from zero to a working AI bot in under 5 minutes. No code required.
- [Audit and monitoring](https://helpcenter.magure.ai/security/audit-logging.md): Comprehensive audit trails, monitoring, and cost tracking across the MagOneAI platform
- [Data flow diagram](https://helpcenter.magure.ai/security/data-flow-diagram.md): How data moves through MagOneAI — from user input to AI-generated output, with every storage layer and external service mapped
- [Security overview](https://helpcenter.magure.ai/security/overview.md): MagOneAI's enterprise security architecture and defense-in-depth approach to protecting your data and infrastructure
- [Roles and permissions](https://helpcenter.magure.ai/security/rbac.md): Role-based access control system with hierarchical permissions at organization and project levels
- [Secrets and Vault](https://helpcenter.magure.ai/security/secrets-management.md): HashiCorp Vault integration and credential management system for secure secret storage and runtime injection
- [Authentication & SSO](https://helpcenter.magure.ai/security/sso.md): Single sign-on with OpenID Connect, multi-factor authentication, and secure session handling for MagOneAI
- [Custom MCP tools](https://helpcenter.magure.ai/tools/custom-tools.md): Add your own tools and integrations to MagOneAI using the Model Context Protocol
- [Database tools](https://helpcenter.magure.ai/tools/database-tools.md): Query the spreadsheets your users upload — CSV and Excel files — with SQL, automatically
- [External MCP servers](https://helpcenter.magure.ai/tools/external-mcp-servers.md): Plug any third-party MCP server into MagOneAI by URL — no code, no packaging, no custom build
- [Google Calendar and Gmail](https://helpcenter.magure.ai/tools/google-tools.md): Integrate Google Workspace tools with your agents for scheduling and email automation
- [MCP protocol](https://helpcenter.magure.ai/tools/mcp-protocol.md): Understanding the Model Context Protocol and how MagOneAI leverages it for tool integration
- [Outlook Calendar and Email](https://helpcenter.magure.ai/tools/microsoft-tools.md): Integrate Microsoft 365 tools with your agents for scheduling and communication
- [Tools overview](https://helpcenter.magure.ai/tools/overview.md): Connect your AI agents to external tools and services through the Model Context Protocol
- [Web search](https://helpcenter.magure.ai/tools/web-search.md): Give your agents access to real-time information from the web
- [Why MagOneAI](https://helpcenter.magure.ai/why-magoneai.md): Every enterprise needs AI agents. Most platforms force you to choose between control and capability. MagOneAI gives you both.
- [Agent node](https://helpcenter.magure.ai/workflows/agent-node.md): Execute AI agents as workflow steps with reasoning, tools, and knowledge base access
- [Auto-documentation](https://helpcenter.magure.ai/workflows/auto-documentation.md): Generate clear, shareable documentation for any workflow — what it does, how it runs, what it connects to — without writing it by hand
- [Code node](https://helpcenter.magure.ai/workflows/code-node.md): Run your own Python code as a workflow step for custom logic, data transformation, and reshaping data between nodes
- [Condition node](https://helpcenter.magure.ai/workflows/condition-node.md): Route workflows to different branches based on conditional logic and data evaluation
- [ForEach node](https://helpcenter.magure.ai/workflows/foreach-node.md): Iterate over collections to process arrays, lists, and batches in workflows
- [Human task node](https://helpcenter.magure.ai/workflows/human-task-node.md): Pause workflows for human approval or input to ensure oversight in critical decisions
- [Memory and variable store](https://helpcenter.magure.ai/workflows/memory.md): Persist and access data within and across workflow executions using MagOneAI's variable store
- [Outbound webhooks](https://helpcenter.magure.ai/workflows/outbound-webhooks.md): Notify your own systems the moment a workflow execution finishes — with signed, retried deliveries you can trust
- [Workflow overview](https://helpcenter.magure.ai/workflows/overview.md): Build and run AI workflows that orchestrate agents, tools, and logic to accomplish complex tasks
- [Parallel node](https://helpcenter.magure.ai/workflows/parallel-node.md): Run multiple workflow branches simultaneously for maximum throughput and efficiency
- [Sub use case node](https://helpcenter.magure.ai/workflows/sub-usecase-node.md): Call other workflows as reusable components to build modular, maintainable AI systems
- [Testing workflows](https://helpcenter.magure.ai/workflows/testing.md): Catch regressions before your users do — define test cases with expected outputs, run them on demand, and track pass/fail over time
- [Tool node](https://helpcenter.magure.ai/workflows/tool-node.md): Execute MCP tools directly in workflows without agent reasoning for deterministic actions
- [Triggers & execution](https://helpcenter.magure.ai/workflows/triggers-and-execution.md): Start workflows from where your work happens — and see exactly what they did when they ran
- [Versions & publishing](https://helpcenter.magure.ai/workflows/versions-and-publishing.md): Iterate on workflows safely — keep a full history of changes and control which version runs in production