# Mindset AI Documentation ## Docs - [Agent Management Studio (AMS): Quick Start Walkthrough](https://docs.mindset.ai/build-optimize/AMS/AgentManagementStudio-walkthrough.md): Walkthrough of the Agent Management Studio - [Enabling Agent Memory](https://docs.mindset.ai/build-optimize/AMS/enabling-agent-memory.md): Steps to enable agent memory in your Agent Management Studio - [Setting Up MCP Servers in the Agent Management Studio](https://docs.mindset.ai/build-optimize/AMS/mcp-in-ams.md): Learn how to configure and manage MCP servers in the Mindset AI Agent Management Studio - [Widget Studio: Widget Editor Guide](https://docs.mindset.ai/build-optimize/AMS/widget-editor-guide.md): Detailed guide to building and iterating on widgets - [Widget Studio Quickstart Guide](https://docs.mindset.ai/build-optimize/AMS/widget-studio-guide.md): Build your widget with Mindset AI's Widget Studio - [Build Event-Driven Agent Conversations](https://docs.mindset.ai/build-optimize/Threads/build-event-driven-conversations.md): A complete integration guide for creating proactive agent threads from your backend and delivering them to users via the embedded SDK. - [Agent Sessions](https://docs.mindset.ai/build-optimize/ams-sdk/agent-sessions-deployment.md): Deploy tenant-created agents to end-users with dynamic permission control - [Decision Flow](https://docs.mindset.ai/build-optimize/ams-sdk/agent-sessions-guide.md): Use this guide to determine which Agent Builder SDK components best fit your implementation needs. - [Agent Builder SDK Playground: Step-by-Step Guide](https://docs.mindset.ai/build-optimize/ams-sdk/ams-sdk-playground.md): Agent Builder SDK Playground - [End-to-end Agent Deployment Flow ](https://docs.mindset.ai/build-optimize/ams-sdk/deployment-flow.md): From tenant creation to end-user access - [Knowledge Provisioning Options](https://docs.mindset.ai/build-optimize/ams-sdk/knowledge-provisioning-options.md): Four ways to provide knowledge/context to agents - [Access](https://docs.mindset.ai/build-optimize/guides/agents/access.md): Learn about access management within the Agent workflow. - [Agent Disclaimer](https://docs.mindset.ai/build-optimize/guides/agents/howto-add-an-agent-disclaimer-message.md): This article explains how to configure an Agent Disclaimer message to be visible for your end-users. - [Creating Agents](https://docs.mindset.ai/build-optimize/guides/agents/howto-create-agents.md): Learn how to create an Agent. - [Language Translation within Agents](https://docs.mindset.ai/build-optimize/guides/agents/language.md): This article explains how language translation works for Agents. - [LLM](https://docs.mindset.ai/build-optimize/guides/agents/llm.md): Learn about the different LLM options within the Agent feature. - [Personality](https://docs.mindset.ai/build-optimize/guides/agents/personality.md): Learn about the Personality options within the Agents workflow. - [Policy](https://docs.mindset.ai/build-optimize/guides/agents/policy.md): Learn about the Policy options within the Agent workflow. - [Preview](https://docs.mindset.ai/build-optimize/guides/agents/preview.md): Learn about the Preview tab in the Agent workflow. - [Settings](https://docs.mindset.ai/build-optimize/guides/agents/settings.md): Learn how to configure the Settings tab within the Agents workflow. - [Testing](https://docs.mindset.ai/build-optimize/guides/agents/testing.md): Learn about the Testing feature in Agents. - [Tools](https://docs.mindset.ai/build-optimize/guides/agents/tools.md): Learn about the Tools available within the Agent feature. - [Choosing data for your agents](https://docs.mindset.ai/build-optimize/guides/knowledge/choosing-data-for-your-agents.md): How to choose the best data to train your agent. - [Exclude content](https://docs.mindset.ai/build-optimize/guides/knowledge/exclude-content.md): How to exclude a content item from being visible within Content Discovery & segments of your new file. - [PDF files best practices](https://docs.mindset.ai/build-optimize/guides/knowledge/pdf-files-best-practices.md): How to optimise the value of your content when uploading PDF files into your Knowledge Workflow. - [Synced Knowledge Contexts](https://docs.mindset.ai/build-optimize/guides/knowledge/synced-knowledge-contexts.md): Learn about the Synced Knowledge Contexts feature - [Configuring Prompts](https://docs.mindset.ai/build-optimize/guides/prompts/howto-configure-prompts.md): Learn how to configure Prompts. - [Overview](https://docs.mindset.ai/build-optimize/guides/prompts/prompts.md): Learn about Prompts in the Knowledge Contexts feature. - [Best practices](https://docs.mindset.ai/build-optimize/guides/prompts/prompts-best-practices.md): Learn about best practices to follow when creating Prompts. - [Introduction](https://docs.mindset.ai/build-optimize/introduction.md): Guides & Best Practices overview. - [Agent Builder SDK Complete Integration Guide](https://docs.mindset.ai/deploy/ams-sdk/ams-sdk-integration-guide.md): Embed agent-building capabilities directly into your platform. - [Agent Builder SDK Use Case Flows](https://docs.mindset.ai/deploy/ams-sdk/ams-sdk-usecase.md): Comprehensive guide for integrating agent and context management into your platform - [Create a new agent](https://docs.mindset.ai/deploy/api/agent-configuration/create-a-new-agent.md): Create a new agent with full configuration options including personality, formatting, policies, and memory settings. - [Delete an agent by UID](https://docs.mindset.ai/deploy/api/agent-configuration/delete-an-agent-by-uid.md) - [Retrieve agents](https://docs.mindset.ai/deploy/api/agent-configuration/retrieve-agents.md) - [Retrieve an agent by UID](https://docs.mindset.ai/deploy/api/agent-configuration/retrieve-an-agent-by-uid.md) - [Update an agent by UID](https://docs.mindset.ai/deploy/api/agent-configuration/update-an-agent-by-uid.md): Update an agent. Supports partial updates - only include fields you want to change. For nested objects (personality, formatting, policies, memory), the entire nested object is replaced if provided. - [Create a new agent](https://docs.mindset.ai/deploy/api/agent-management-deprecated/create-a-new-agent.md) - [Delete an agent by UID](https://docs.mindset.ai/deploy/api/agent-management-deprecated/delete-an-agent-by-uid.md) - [Retrieve agents](https://docs.mindset.ai/deploy/api/agent-management-deprecated/retrieve-agents.md) - [Retrieve an agent by UID](https://docs.mindset.ai/deploy/api/agent-management-deprecated/retrieve-an-agent-by-uid.md) - [Update an agent by UID](https://docs.mindset.ai/deploy/api/agent-management-deprecated/update-an-agent-by-uid.md) - [Create a new agent session](https://docs.mindset.ai/deploy/api/agent-sessions/create-a-new-agent-session.md) - [Delete an agent session by UID](https://docs.mindset.ai/deploy/api/agent-sessions/delete-an-agent-session-by-uid.md) - [Retrieve a collection of agent sessions](https://docs.mindset.ai/deploy/api/agent-sessions/retrieve-a-collection-of-agent-sessions.md) - [Retrieve an agent session by UID](https://docs.mindset.ai/deploy/api/agent-sessions/retrieve-an-agent-session-by-uid.md) - [Agents API](https://docs.mindset.ai/deploy/api/agents-api.md): Parameters full description - [Agent Sessions API](https://docs.mindset.ai/deploy/api/agentsessions-api.md): Parameters full description - [Retrieve app status](https://docs.mindset.ai/deploy/api/appstatus/retrieve-app-status.md) - [Context Files API](https://docs.mindset.ai/deploy/api/context-files-api.md): Parameters full description - [Delete a file by UID](https://docs.mindset.ai/deploy/api/context-files/delete-a-file-by-uid.md) - [Ingest a new file](https://docs.mindset.ai/deploy/api/context-files/ingest-a-new-file.md) - [Retrieve a file by externalId](https://docs.mindset.ai/deploy/api/context-files/retrieve-a-file-by-externalid.md) - [Retrieve a file by UID](https://docs.mindset.ai/deploy/api/context-files/retrieve-a-file-by-uid.md) - [Retrieve context files](https://docs.mindset.ai/deploy/api/context-files/retrieve-context-files.md) - [Update a file by externalId](https://docs.mindset.ai/deploy/api/context-files/update-a-file-by-externalid.md) - [Update a file by UID](https://docs.mindset.ai/deploy/api/context-files/update-a-file-by-uid.md) - [Contexts API](https://docs.mindset.ai/deploy/api/contexts-api.md): Parameters full description - [Create a new context](https://docs.mindset.ai/deploy/api/contexts/create-a-new-context.md) - [Delete a context by UID](https://docs.mindset.ai/deploy/api/contexts/delete-a-context-by-uid.md) - [Retrieve a context by externalId](https://docs.mindset.ai/deploy/api/contexts/retrieve-a-context-by-externalid.md) - [Retrieve a context by UID](https://docs.mindset.ai/deploy/api/contexts/retrieve-a-context-by-uid.md) - [Retrieve contexts](https://docs.mindset.ai/deploy/api/contexts/retrieve-contexts.md) - [Update a context by externalId](https://docs.mindset.ai/deploy/api/contexts/update-a-context-by-externalid.md) - [Update a context by UID](https://docs.mindset.ai/deploy/api/contexts/update-a-context-by-uid.md) - [Get a specific dynamic component by name](https://docs.mindset.ai/deploy/api/dynamiccomponents/get-a-specific-dynamic-component-by-name.md): Returns a single dynamic component by its name. Only accessible when SDK3 is enabled for the app. - [List all dynamic components for an agent](https://docs.mindset.ai/deploy/api/dynamiccomponents/list-all-dynamic-components-for-an-agent.md): Returns all available dynamic components (custom HTML elements) for the specified agent. Only accessible when SDK3 is enabled for the app. - [Update a dynamic component](https://docs.mindset.ai/deploy/api/dynamiccomponents/update-a-dynamic-component.md): Updates the enabled status and/or instructions for a dynamic component. Only accessible when SDK3 is enabled for the app. The name, title, and description fields are read-only. - [API Introduction](https://docs.mindset.ai/deploy/api/introduction.md): Mindset API Overview - [Labels API](https://docs.mindset.ai/deploy/api/labels-api.md): Parameters full description - [Create a new label](https://docs.mindset.ai/deploy/api/labels/create-a-new-label.md) - [Delete a label by UID](https://docs.mindset.ai/deploy/api/labels/delete-a-label-by-uid.md) - [Retrieve a label by externalId](https://docs.mindset.ai/deploy/api/labels/retrieve-a-label-by-externalid.md) - [Retrieve a label by UID](https://docs.mindset.ai/deploy/api/labels/retrieve-a-label-by-uid.md) - [Retrieve labels](https://docs.mindset.ai/deploy/api/labels/retrieve-labels.md) - [Update a label by externalId](https://docs.mindset.ai/deploy/api/labels/update-a-label-by-externalid.md) - [Update a label by UID](https://docs.mindset.ai/deploy/api/labels/update-a-label-by-uid.md) - [Generate an auth token for a given user identifier](https://docs.mindset.ai/deploy/api/sdk-users/generate-an-auth-token-for-a-given-user-identifier.md) - [SDK Users API](https://docs.mindset.ai/deploy/api/sdkusers-api.md): Parameters full description - [Create a conversation thread by resolving a user and invoking an AI agent](https://docs.mindset.ai/deploy/api/threads/create-a-conversation-thread-by-resolving-a-user-and-invoking-an-ai-agent.md) - [Create a new webhook configuration. Maximum of 50 webhooks per app.](https://docs.mindset.ai/deploy/api/webhooks/create-a-new-webhook-configuration-maximum-of-50-webhooks-per-app.md) - [Delete a webhook by UID](https://docs.mindset.ai/deploy/api/webhooks/delete-a-webhook-by-uid.md) - [Retrieve a webhook by UID](https://docs.mindset.ai/deploy/api/webhooks/retrieve-a-webhook-by-uid.md) - [Retrieve webhook configurations](https://docs.mindset.ai/deploy/api/webhooks/retrieve-webhook-configurations.md) - [Update a webhook by UID](https://docs.mindset.ai/deploy/api/webhooks/update-a-webhook-by-uid.md) - [Introduction](https://docs.mindset.ai/deploy/introduction.md): Mindset API & SDK Overview - [Tools MCP Server Integration Guide](https://docs.mindset.ai/deploy/mcp/client-tool-mcp.md): Guide on implementing and registering your Tools MCP server with the Mindset AI platform. - [Data Security and Privacy](https://docs.mindset.ai/deploy/mcp/mcp-data-security-and-privacy.md): How your users' data flows through the Mindset AI platform when integrating with MCP servers — what gets transmitted, stored, and protected. - [MCP Server Architecture Best Practices](https://docs.mindset.ai/deploy/mcp/mcp-server-architecture-best-practices.md): How to organize your MCP servers for clean entitlement, better security, and a smoother agent experience. - [RAG MCP Server Implementation Guide](https://docs.mindset.ai/deploy/mcp/rag-mcpserver-integration.md): Implementation guide for hosting your own Retrieval-Augmented Generation system as an MCP server - [Agent and Knowledge Context Provisioning](https://docs.mindset.ai/deploy/sdk2/agent-and-knowledge-context-provisioning.md): Provision access to Agents and Knowledge Contexts via Agent Sessions - [Agent UI color theme](https://docs.mindset.ai/deploy/sdk2/agent-color-theme.md): Using color theme and customizing the agent UI colors - [Embed agent demo](https://docs.mindset.ai/deploy/sdk2/agent-demo.md): Show an embed agent in action - [Authentication](https://docs.mindset.ai/deploy/sdk2/authentication.md): Embedding an agent, authentication mechanism - [Back end authentication](https://docs.mindset.ai/deploy/sdk2/back-end.md): Embedding an agent, Back-end script - [Embedding an Agent](https://docs.mindset.ai/deploy/sdk2/embedding-agent.md): Global overview on how to embed an Agent into your website - [Agent flexible UI](https://docs.mindset.ai/deploy/sdk2/flexible-ui.md): Enabling the flexible UI mode for an embedded agent - [Agent fonts customization](https://docs.mindset.ai/deploy/sdk2/fonts-customization.md): Using a font of your choice for an embedded agent - [Front end](https://docs.mindset.ai/deploy/sdk2/front-end.md): Embedding an agent, Front-end script - [SDK 2 Overview](https://docs.mindset.ai/deploy/sdk2/introduction.md): Mindset SDK 2 Overview - [Migrating to SDK 2](https://docs.mindset.ai/deploy/sdk2/migrating-from-sdk1.md): Steps for migrating from SDK 1 to SDK 2 - [SDK 2 HTML tags and methods details](https://docs.mindset.ai/deploy/sdk2/sdk-tags-methods-details.md): This page covers in detail all attributes and parameters of the tags and methods used in SDK 2. - [Best practices and known limitations](https://docs.mindset.ai/deploy/sdk2/sdk2-best-practices.md): This page covers the best practices for implementation and the known limitations of the current build. - [Dynamic In-Chat Components](https://docs.mindset.ai/deploy/sdk3/dynamic-components.md): Rich visual components that agents can use to enhance chat responses - [SDK 3 - Error Codes Reference](https://docs.mindset.ai/deploy/sdk3/error-codes.md): Complete reference for SDK initialization and runtime error codes - [SDK 3.0 HTML Tags and Methods Reference](https://docs.mindset.ai/deploy/sdk3/html-tags.md): Complete reference for all attributes and parameters of SDK 3.0 tags and methods - [Embedding Multiple Agents](https://docs.mindset.ai/deploy/sdk3/multiple-agents.md): Embed multiple AI agents on a single webpage with complete state isolation - [Agent and Knowledge Context Provisioning](https://docs.mindset.ai/deploy/sdk3/sdk3-agent-knowledge-context-provisioning.md): Provision access to Agents and Knowledge Contexts via Agent Sessions - [Agent UI Color Themes](https://docs.mindset.ai/deploy/sdk3/sdk3-agentui-colour.md): Customize agent colors to match your brand using themes or individual color tokens - [Authentication](https://docs.mindset.ai/deploy/sdk3/sdk3-authentication.md): Secure user authentication for embedded agents in SDK 3 - [Back end authentication](https://docs.mindset.ai/deploy/sdk3/sdk3-backend.md): Embedding an agent, Back-end script. - [Best Practices & Known Limitations](https://docs.mindset.ai/deploy/sdk3/sdk3-best-practices.md): Implementation best practices and current limitations for SDK 3.0 - [Embed an agent introduction](https://docs.mindset.ai/deploy/sdk3/sdk3-embedding-an-agent.md): Global overview on how to embed an Agent into your website - [SDK 3.0: Modern Agent Surface with Visual Components](https://docs.mindset.ai/deploy/sdk3/sdk3-features.md): Redesigned interface, HTML component rendering, and branding customization for modern conversational AI experiences - [Font Customization](https://docs.mindset.ai/deploy/sdk3/sdk3-fonts.md): Use custom fonts to create seamless, on-brand embedded agent experiences - [Embed an agent in your application](https://docs.mindset.ai/deploy/sdk3/sdk3-frontend.md): Step-by-step guide for embedding a Mindset AI agent in your web application (frontend) - [Migrate from SDK 2.0 to SDK 3.0](https://docs.mindset.ai/deploy/sdk3/sdk3-migration.md): Step-by-step guide for upgrading your Mindset AI agents from SDK 2.0 to SDK 3.0 - [SDK 3.0 Overview](https://docs.mindset.ai/deploy/sdk3/sdk3-overview.md): Next-generation toolkit for implementing agents and UI components with enhanced performance and customization - [Webhooks Management in AMS](https://docs.mindset.ai/deploy/webhooks/webhooks.md): Configure real-time notifications for your application - [Webhooks API - User Guide](https://docs.mindset.ai/deploy/webhooks/webhooks-api.md): Receive notifications when changes are made to your Mindset AI resources - [Agent Management Studio](https://docs.mindset.ai/features/ams.md): Overview of the AMS - [Agent Memory](https://docs.mindset.ai/features/build/agent-memory.md): Agent Memory helps your AI agents remember important details about the people they work with, transforming transactional interactions into intelligent, evolving relationships. - [Agent Voice](https://docs.mindset.ai/features/build/agent-voice.md): Voice-to-Text Communication for Agents - [Agents](https://docs.mindset.ai/features/build/agents.md): Agent Management Platform Overview - [Bias Analysis](https://docs.mindset.ai/features/build/bias-analysis.md): Agent Management Platform Overview - [Knowledge Contexts](https://docs.mindset.ai/features/build/contexts.md): Agent Management Platform Overview - [Design System](https://docs.mindset.ai/features/build/design-system.md): Complete control over visual appearance and behavior patterns across SDK 3 - [Humans](https://docs.mindset.ai/features/build/humans.md): Agent Management Platform Overview - [LLMs](https://docs.mindset.ai/features/build/llms.md): Agent Management Platform Overview - [MCP Servers](https://docs.mindset.ai/features/build/mcp-servers.md): What’s an MCP server? - [Multi-Language Support](https://docs.mindset.ai/features/build/multi-lang-support.md) - [Policy](https://docs.mindset.ai/features/build/policy.md): Agent Management Platform Overview - [Testing](https://docs.mindset.ai/features/build/testing.md): Agent Management Platform Overview - [Variables](https://docs.mindset.ai/features/build/variables.md): Variables and how they work - [Web-Investigator](https://docs.mindset.ai/features/build/web-investigator.md) - [Widget Studio Overview](https://docs.mindset.ai/features/build/widget-studio.md): Overview of Mindset AI's Widget Studio - [Workflows](https://docs.mindset.ai/features/build/workflows.md): Workflows in the AMS - [Deployment of Agents](https://docs.mindset.ai/features/deploy/Deployment.md): Easily embed agents into your platform with flexible deployment options tailored to your authentication needs. - [Mindset AI APIs](https://docs.mindset.ai/features/deploy/MindsetAPIS.md): Overview of Mindset AI APIs - [Multi-Tenancy](https://docs.mindset.ai/features/deploy/Multi-tenancy.md): Deeply personalized AI experiences with secure, tenant-specific agents and knowledge contexts - [SCORM Ingestion](https://docs.mindset.ai/features/deploy/SCORM-Ingestion.md): Learn how Mindset AI ingests SCORM content and transforms it into AI-ready knowledge. - [Agent Builder SDK](https://docs.mindset.ai/features/deploy/ams-sdk.md): Agent Builder Software Development Kit - [Browser-Based Agent Framework](https://docs.mindset.ai/features/deploy/browser-framework.md) - [Threads API](https://docs.mindset.ai/features/deploy/threads-api.md): Start agent conversations from your backend and deliver them to your users — before they even open the app. - [FAQs](https://docs.mindset.ai/introduction/getstarted/faqs.md): Everything you need to know about Mindset AI - [Go-live Checklist](https://docs.mindset.ai/introduction/getstarted/go-live-checklist.md): We are experts at helping SaaS companies successfully deploy agents to their customers - we have broken down a go-live checklist we typically see companies go through. - [Quick Start](https://docs.mindset.ai/introduction/getstarted/quickstart.md): Everything you need to get to production with Mindset AI fully embedded in your application. - [Our Beliefs on Implementing AI](https://docs.mindset.ai/introduction/mindset-way/ai-beliefs.md) - [AI Maturity Model](https://docs.mindset.ai/introduction/mindset-way/ai-stages.md) - [Demystifying the noise](https://docs.mindset.ai/introduction/mindset-way/demystifying.md) - [What We're Building at Mindset AI](https://docs.mindset.ai/introduction/mindset-way/mindset-building.md) - [AI Guidelines](https://docs.mindset.ai/introduction/support-policy/ai-guidelines.md): This page addresses the fundamental questions anyone considering AI should know about the vendor's approach to AI and data and the use of third-party AI in their solution. - [Mindset AI's Compliance Architecture](https://docs.mindset.ai/introduction/support-policy/compliance.md): Learn more about how we meet compliance requirements - [Security Q&A](https://docs.mindset.ai/introduction/support-policy/security-qa.md): The purpose of this page is to provide answers to frequently asked security questions. - [Service level agreement](https://docs.mindset.ai/introduction/support-policy/service-level-agreement.md) - [Welcome to Mindset AI](https://docs.mindset.ai/introduction/welcome.md): Build, manage and deploy AI agents inside your existing SaaS applications - [Blueprints](https://docs.mindset.ai/memex/concepts/blueprints.md): The shared contracts between humans and AI. Design systems, architectural guidelines, security processes. The rules for how software gets built here. - [Decisions](https://docs.mindset.ai/memex/concepts/decisions.md): First-class, referenceable objects. Not afterthoughts buried in ticket comments. - [Drift Detection](https://docs.mindset.ai/memex/concepts/drift-detection.md): The mechanism that kills the wiki. Agents detect when blueprints disagree with reality, and flag it as a first-class event. - [Humans](https://docs.mindset.ai/memex/concepts/humans.md): The bridge between nameless AI agents and the people who care. A first-class primitive in Memex, not a rubber-stamper. - [The Memex Graph](https://docs.mindset.ai/memex/concepts/overview.md): Five primitives: strategies, decisions, work items, blueprints, and humans. One connected graph. - [Strategies](https://docs.mindset.ai/memex/concepts/strategies.md): The container for everything. The 'why' that makes every decision and every work item intelligible. - [Work Items](https://docs.mindset.ai/memex/concepts/work-items.md): A dependency graph, not a backlog. Goals, explicit dependencies, acceptance criteria, and execution plans. - [Join the Waitlist](https://docs.mindset.ai/memex/getting-started.md): Memex AI isn't in full release yet. We're bringing early adopters on the journey with us. - [Building a Strategy](https://docs.mindset.ai/memex/how-it-works/building-a-strategy.md): Strategies are built through conversation, inside the coding tool, grounded in the actual codebase. - [Decision Extraction](https://docs.mindset.ai/memex/how-it-works/decision-extraction.md): Because nobody will log decisions manually. Passive capture from human–AI conversations, with lightweight bundled review. - [The Lifecycle](https://docs.mindset.ai/memex/how-it-works/lifecycle.md): How a piece of work flows through Memex AI, from strategy creation to blueprint update. - [MCP Architecture](https://docs.mindset.ai/memex/how-it-works/mcp-architecture.md): Memex AI is an MCP server. Any agent, any vendor, one shared context layer. - [Roles](https://docs.mindset.ai/memex/how-it-works/roles.md): Humans are a first-class primitive in Memex. This is how different people (and different agents) use the graph. - [Our Story](https://docs.mindset.ai/memex/introduction/our-story.md): Why Mindset AI built Memex AI, and why we think this is the most exciting moment in software engineering in a generation. - [Memex AI](https://docs.mindset.ai/memex/introduction/overview.md): The decision layer for AI-native software teams. - [The Problem](https://docs.mindset.ai/memex/introduction/the-problem.md): Three failures that compound daily in every AI-assisted engineering team, and the hidden cost they carry. - [Security & Deployment](https://docs.mindset.ai/memex/security/overview.md): Memex is both a hosted SaaS and a 100% self-hosted Docker container. Your data, your choice. Bring your own LLM keys. - [Why Not Just Use [Existing Tool]?](https://docs.mindset.ai/memex/why-memex/comparisons.md): Honest comparisons against Jira, Confluence, CLAUDE.md files, and in-repo conventions. - [The Core Bet](https://docs.mindset.ai/memex/why-memex/the-core-bet.md): The history of software tooling follows the bottleneck. The bottleneck shifted. Memex AI is the tool for the new one. - [MOS Handbook](https://docs.mindset.ai/mos/README.md): Everything you need to know to thrive at Mindset AI. MOS (Mindset Operating System) is how we run the company. - [Cadence](https://docs.mindset.ai/mos/mos-handbook/cadence.md): How we thrive as a high performance culture - [1:1 Meeting Structure](https://docs.mindset.ai/mos/mos-handbook/general-meeting-etiquette/1-1-meeting-structure.md): This document outlines the structure for 1:1 calls between you and your team lead. - [General Meeting Etiquette](https://docs.mindset.ai/mos/mos-handbook/general-meeting-etiquette/README.md) - [Roles](https://docs.mindset.ai/mos/mos-handbook/roles.md): This page describes the three core roles - [Teams](https://docs.mindset.ai/mos/mos-handbook/teams.md): How we organise the company and why we have made the decisions we have. - [Values](https://docs.mindset.ai/mos/mos-handbook/values.md): Mindset company values explained - [Recruitment](https://docs.mindset.ai/mos/recruitment/README.md) - [UK Employee Benefits](https://docs.mindset.ai/mos/recruitment/uk-employee-benefits.md): This page outlines the UK Employee Benefits program. - [Why we exist, what we do and strategic anchors](https://docs.mindset.ai/mos/why-we-exist-what-we-do-and-strategic-anchors/README.md) - [How will we succeed?](https://docs.mindset.ai/mos/why-we-exist-what-we-do-and-strategic-anchors/how-will-we-succeed.md) - [Our view on the next few years](https://docs.mindset.ai/mos/why-we-exist-what-we-do-and-strategic-anchors/our-view-on-the-next-few-years.md): Our anchors and strategy is a culmination of our beliefs on the future, plus what we believe is important today. - [What we do](https://docs.mindset.ai/mos/why-we-exist-what-we-do-and-strategic-anchors/what-we-do.md) - [Why we exist](https://docs.mindset.ai/mos/why-we-exist-what-we-do-and-strategic-anchors/why-we-exist.md) - [When to Use N8N or StackOne with Mindset AI](https://docs.mindset.ai/resources-guides/n8n-stackone.md): A guide for product and engineering leaders - [Architecture Deep Dive](https://docs.mindset.ai/resources-guides/snowflake/architecture-deep-dive.md): How the layers connect, tenant isolation, where business logic lives, and security. - [Examples](https://docs.mindset.ai/resources-guides/snowflake/examples.md): Real integration patterns from production deployments, plus worked scenarios across industries showing how the same architecture applies. - [Getting Started](https://docs.mindset.ai/resources-guides/snowflake/getting-started.md): How to get your first Snowflake-backed agent use case into production. - [Integration Paths](https://docs.mindset.ai/resources-guides/snowflake/integration-paths.md): Three ways to connect your Snowflake data to agents. The right choice depends on your engineering capacity and the nature of your use cases. - [Snowflake Native MCP Setup Guide](https://docs.mindset.ai/resources-guides/snowflake/mcp-setup-guide.md): Everything you need to connect a Snowflake-managed MCP server to Mindset AI, including configuration notes and validation steps to get set up smoothly. - [Snowflake Integration](https://docs.mindset.ai/resources-guides/snowflake/overview.md): How Mindset AI connects to your Snowflake data to power customer-facing AI experiences — without touching your infrastructure. - [Security Deep Dive](https://docs.mindset.ai/resources-guides/snowflake/security.md): How Mindset AI interacts with your Snowflake data without ever touching your Snowflake instance, and the security controls at every layer. ## OpenAPI Specs - [openapi](https://docs.mindset.ai/sdk-api/openapi.json) - [openapi-old-3](https://docs.mindset.ai/deploy/api/openapi-old-3.json) - [openapi-old-2](https://docs.mindset.ai/deploy/api/openapi-old-2.json) - [openapi-old-1](https://docs.mindset.ai/deploy/api/openapi-old-1.json) - [openapi-sample](https://docs.mindset.ai/sdk-api/openapi-sample.json)