# xpander.ai

## Docs

- [xpander.ai Docs](https://docs.xpander.ai/index.md): xpander.ai documentation. Build AI agents, connect them to enterprise systems, and deploy anywhere.
- [Welcome to Omni](https://docs.xpander.ai/guides/omni/what-is-omni.md): Your AI forward-deployed engineer for building agent-powered business solutions.
- [Agentic Applications](https://docs.xpander.ai/guides/omni/agentic-applications/what-are-agentic-applications.md): Shareable applications that pair a backend AI agent with a live frontend experience.
- [Build your first Agentic Application](https://docs.xpander.ai/guides/omni/agentic-applications/build-your-first-agentic-application.md): Start with a business outcome and turn it into an agent-powered application.
- [Work with Data and Tools](https://docs.xpander.ai/guides/omni/building-agents/connectors-skills.md): Give Omni and your agents access to the tools, data, and actions your workflow needs.
- [Design the Workflow](https://docs.xpander.ai/guides/omni/agentic-applications/customize-agentic-applications.md): Tune the built-in frontend experience and the backend that powers an application to fit your workflow.
- [Tasks](https://docs.xpander.ai/guides/omni/building-agents/tasks.md): Track what any agent is doing from request to result.
- [Live Surfaces](https://docs.xpander.ai/guides/omni/agentic-applications/live-surfaces.md): Real-time visual views of what your agents are doing.
- [Reports & Dashboards](https://docs.xpander.ai/guides/omni/agentic-applications/reports-dashboards.md): Turn agent work into visual outputs your team can scan, share, and act on.
- [Agent Workspace](https://docs.xpander.ai/guides/omni/building-agents/agent-workspace.md): A shared workspace where agent context, files, outputs, and workflow artifacts live.
- [Publish and Share](https://docs.xpander.ai/guides/omni/agentic-applications/share-agentic-applications.md): Share applications so teammates work from the same live surfaces and context.
- [Custom Agents](https://docs.xpander.ai/guides/omni/types-of-agents/custom-agents.md): Specialized AI agents that power Agentic Applications.
- [In-Product Agents](https://docs.xpander.ai/guides/omni/types-of-agents/in-product-agents.md): Agents that run inside an existing product through xpander APIs.
- [Workflow-Powered Agents](https://docs.xpander.ai/guides/omni/types-of-agents/workflow-powered-agents.md): Background automations run by AI, with no chat or application interface.
- [Apps and Agents](https://docs.xpander.ai/guides/omni/manage-agents/agent-configuration.md): Manage the agent behind an Agentic Application: its identity, instructions, and runtime behavior.
- [Permissions and Access](https://docs.xpander.ai/guides/omni/manage-agents/permissions-access.md): Control what an agent can do and who can use it.
- [Channels](https://docs.xpander.ai/guides/omni/manage-agents/channels.md): Choose where an agent can be discovered, reached, or invoked.
- [Models and Memory](https://docs.xpander.ai/guides/omni/manage-agents/models.md): Choose the model that powers an agent’s reasoning and manage the context it can carry across work.
- [Usage, Budgets, and Activity](https://docs.xpander.ai/guides/omni/manage-agents/budgets-notifications.md): Manage secrets, publishing, spend limits, and result notifications for custom agents.
- [What is xpander.ai?](https://docs.xpander.ai/overview/what-is-xpander.md): The all-in-one platform for building AI agents that connect to your enterprise systems. Deploy to your k8s or ours.
- [Omni](https://docs.xpander.ai/overview/personal-ai-agents.md): Build agent-powered business applications from business outcomes.
- [Custom Agents](https://docs.xpander.ai/overview/specialized-agents.md): Powered by Agno. Pre-built, governed agents for enterprise systems, scoped to approved operations, individually debuggable, improving over time.
- [Agent Studio](https://docs.xpander.ai/overview/agent-studio.md): Build custom AI agents when the predefined ones aren't enough, with your own mix of tools, knowledge, and behavior.
- [Agentic Automation](https://docs.xpander.ai/overview/agentic-automation.md): Powered by Agno Workflows. Automate backend processes where AI handles context at runtime.
- [Quickstart: Your First Agent](https://docs.xpander.ai/guides/quickstart.md): Create and chat with your first AI agent in 5 minutes
- [Core Concepts](https://docs.xpander.ai/guides/core-concepts.md): Understand the fundamental concepts behind Xpander
- [Agent Configuration](https://docs.xpander.ai/guides/agents/agent-configuration.md): Create an agent, pick where it runs, and configure every control in the Agent Studio
- [Tools & Connectors](https://docs.xpander.ai/guides/agents/tools-connectors.md): Browse the connector catalog, authenticate services, and configure tool behavior
- [Knowledge Bases](https://docs.xpander.ai/guides/agents/knowledge-bases.md): Upload documents and give your agent searchable, citable knowledge
- [Memory & State](https://docs.xpander.ai/guides/agents/memory-state.md): Control what your agent remembers within conversations, about users, and across all interactions
- [AI Models & Intelligence](https://docs.xpander.ai/guides/agents/ai-models-intelligence.md): Choose your LLM provider, configure intelligence features, and define your agent personality
- [Testing & Chat](https://docs.xpander.ai/guides/agents/testing-chat.md): Test your agent in the Agent Studio and debug its behavior before deploying
- [Deploy an Agent](https://docs.xpander.ai/guides/agents/deploy-agent.md): Deploy your agent to channels, and share templates with team
- [Introduction to Workflows](https://docs.xpander.ai/guides/building-workflows/introduction.md): Backend automation where AI handles data mapping at runtime. Trigger with webhooks, schedules, emails, or API calls.
- [Workflow Canvas](https://docs.xpander.ai/guides/building-workflows/canvas.md): Add nodes, wire them into a pipeline, and use the save-and-publish cycle to deploy versioned workflows.
- [Triggers](https://docs.xpander.ai/guides/building-workflows/triggers.md): Configure how workflows start: via webhooks, API calls, chat messages, Slack, or recurring schedules.
- [Agent Nodes](https://docs.xpander.ai/guides/building-workflows/agent-nodes.md): Add AI reasoning to your workflows with Agent, Classifier, and Summarizer nodes, each purpose-built for a different kind of intelligence.
- [Action Nodes](https://docs.xpander.ai/guides/building-workflows/action-nodes.md): Run deterministic operations in your workflows: invoke tools from 2,000+ connectors, execute Python code, send emails, extract text with OCR, and more.
- [Flow Control](https://docs.xpander.ai/guides/building-workflows/flow-control.md): Branch on values, validate with AI, pause for human approval, finish early, run steps in parallel or schedule runs at a set frequency.
- [Agentic Context](https://docs.xpander.ai/guides/building-workflows/agentic-context.md): Persist data between workflow runs so each execution builds on the last. Process only what changed, track evolving state, and make smarter decisions over time.
- [Versioning & Rollback](https://docs.xpander.ai/guides/building-workflows/versioning.md): Publish-based versioning that separates editing from deploying. Save drafts, publish immutable snapshots, and roll back when needed.
- [Running & Monitoring](https://docs.xpander.ai/guides/building-workflows/running-monitoring.md): Test workflows with text or JSON payloads, watch execution in real time, and monitor threads, metrics, and tasks in production.
- [Multi-Agent Tasks](https://docs.xpander.ai/guides/agentic-automation/multi-agent-tasks.md): Attach specialized agents to a coordinator so they can delegate tasks to each other during conversations.
- [Multi-Model Reasoning](https://docs.xpander.ai/guides/agentic-automation/multi-model-reasoning.md): Select different AI models for different agents and workflow steps based on what each task requires.
- [Threads View](https://docs.xpander.ai/guides/observability/threads.md): Trace what happened in any agent or workflow run: every input, tool call, and response in order.
- [Task Monitoring](https://docs.xpander.ai/guides/observability/tasks.md): Scan executions by status, triage failures across agents, and cross-reference tasks to threads for debugging.
- [Metrics](https://docs.xpander.ai/guides/observability/metrics.md): Spot anomalies in request volume, API calls, and token usage, then trace back to the cause.
- [Slack](https://docs.xpander.ai/guides/deploy/slack.md): One xpander app for your whole Slack workspace: DM your Omni, mention it anywhere, and route channels to your agents
- [Chat Widget](https://docs.xpander.ai/guides/deploy/chat-widget.md): Share a hosted chat URL or embed a chat widget in your website
- [MCP Protocol](https://docs.xpander.ai/guides/deploy/mcp.md): Expose your agents to Claude Desktop, Cursor, VS Code, and other MCP-compatible clients
- [Omni MCP Server](https://docs.xpander.ai/guides/deploy/omni-mcp.md): Chat with your Omni agent and operate the platform from Claude, ChatGPT, and other MCP clients
- [Webhooks](https://docs.xpander.ai/guides/deploy/webhooks.md): Trigger your agents from any external system with inbound HTTP requests
- [Scheduled Tasks](https://docs.xpander.ai/guides/deploy/scheduled-tasks.md): Run your agents automatically on a cron schedule
- [Self-Hosted Kubernetes](https://docs.xpander.ai/resources/deployment-guides/self-hosted-kubernetes.md): Deploy Xpander on your own Kubernetes cluster using the official Helm chart. Outbound-only networking, full data control.
- [Self-Hosted Deployment](https://docs.xpander.ai/self-hosted/index.md): Install the Helm Chart.ai on your own infrastructure with full control over data, security, and compliance
- [Sizing & Resource Requirements](https://docs.xpander.ai/self-hosted/sizing.md): CPU, memory, and storage requirements for self-hosted xpander deployments, with a calculator to size your cluster
- [EKS Cluster Setup](https://docs.xpander.ai/self-hosted/eks-setup.md): Provision an AWS EKS cluster with VPC, networking, IAM roles, node groups, and add-ons for xpander.ai
- [Configure PrivateLink](https://docs.xpander.ai/self-hosted/privatelink.md): Connect your self-hosted xpander.ai environment to the deployment manager over AWS PrivateLink — no public internet traffic
- [Install the Helm Chart](https://docs.xpander.ai/self-hosted/deployment.md): SSL certificates, ingress controller, Helm chart installation, DNS configuration, API keys, verification, and SDK setup for xpander.ai
- [AWS Operator Setup](https://docs.xpander.ai/self-hosted/aws-operator.md): Configure the AWS APIs Operator for self-hosted xpander environments — IAM roles, Pod Identity, and security groups for AWS connectors
- [IAM Best Practices](https://docs.xpander.ai/self-hosted/iam-best-practices.md): Three-tier IAM role architecture for self-hosted xpander — base role, connector roles, and cross-account trust for least-privilege access
- [Troubleshooting](https://docs.xpander.ai/self-hosted/troubleshooting.md): Diagnose and resolve common issues with xpander.ai self-hosted deployments
- [Security Architecture](https://docs.xpander.ai/resources/security-compliance/security-architecture.md): How xpander.ai keeps agents bounded, credentials hidden, networks closed, and data inside your environment
- [Certifications & Compliance](https://docs.xpander.ai/resources/security-compliance/certifications-compliance.md): What's certified, what's in progress, and how compliance work intersects with deployment choice
- [Access Control](https://docs.xpander.ai/resources/security-compliance/access-control.md): How users, agents, and integrations are scoped, authenticated, and audited on xpander.ai
- [Air-Gapped Deployments](https://docs.xpander.ai/resources/security-compliance/air-gapped-deployments.md): Fully isolated xpander.ai deployments with local models, no external API calls, and full data sovereignty
- [Introduction](https://docs.xpander.ai/developers/index.md): Build AI Agents with the Python SDK, Xpander CLI, and your framework of choice
- [Quickstart](https://docs.xpander.ai/developers/quickstart.md): Create an agent, run it locally, and deploy it. Entirely from the terminal. About 10 minutes.
- [Core Concepts](https://docs.xpander.ai/developers/core-concepts.md): How agents, tasks, threads, tools, and memory map onto SDK classes
- [Frameworks](https://docs.xpander.ai/developers/frameworks/index.md): Pick a framework and see what xpander wires up for you
- [Agno](https://docs.xpander.ai/developers/frameworks/agno.md): The recommended framework path. A few lines to a fully wired agent.
- [LangChain + LangGraph](https://docs.xpander.ai/developers/frameworks/langchain.md): Bind xpander tools to a LangGraph ReAct agent
- [OpenAI Agents SDK](https://docs.xpander.ai/developers/frameworks/openai-agents.md): Use xpander tools and instructions inside the OpenAI Agents runner
- [AWS Strands](https://docs.xpander.ai/developers/frameworks/aws-strands.md): Use xpander tools and instructions inside the AWS Strands agent
- [Agent Memories](https://docs.xpander.ai/developers/memory/agent-memories.md): Organization-wide knowledge the agent always carries
- [User Memories](https://docs.xpander.ai/developers/memory/user-memories.md): Per-user facts that persist across sessions
- [Session Storage](https://docs.xpander.ai/developers/memory/session-storage.md): Conversation history within a thread, backed by Postgres
- [Document Management](https://docs.xpander.ai/developers/knowledge/document-management.md): Add, list, and remove documents in a knowledge base programmatically
- [Semantic Search](https://docs.xpander.ai/developers/knowledge/semantic-search.md): Query a knowledge base from code
- [Containers](https://docs.xpander.ai/developers/deployment/containers.md): Ship your @on_task handler as a managed container in xpander cloud
- [Invocation Channels](https://docs.xpander.ai/developers/deployment/invocation-channels.md): How users and other systems reach a deployed agent
- [Use Pre-built Connectors](https://docs.xpander.ai/developers/tools/pre-built.md): How connectors selected in Agent Studio show up as tools in code, and how to invoke them
- [Connect Custom Tools](https://docs.xpander.ai/developers/tools/custom-tools.md): Turn a Python function into a tool the agent can call with @register_tool
- [Observability with Tool Hooks](https://docs.xpander.ai/developers/tools/tool-hooks.md): Observe and instrument every tool call without modifying the tools themselves
- [Output Response Filtering](https://docs.xpander.ai/developers/tools/output-response-filtering.md): Handle any size tool response without overflowing the context window
- [Overview](https://docs.xpander.ai/developers/cli-reference/overview.md): Install the xpander CLI, authenticate, and run your first command.
- [Agent Commands](https://docs.xpander.ai/developers/cli-reference/agent-commands.md): Every command under `xpander agent` (full lifecycle, graph, tools, NeMo).
- [Auth & Config](https://docs.xpander.ai/developers/cli-reference/auth-config.md): Authenticate, manage profiles, and sync deployment secrets.
- [Shortcuts](https://docs.xpander.ai/developers/cli-reference/shortcuts.md): Aliases and shorthand for common CLI commands.
- [Overview](https://docs.xpander.ai/developers/sdk-reference/overview.md): Install the xpander.ai SDK, authenticate, and make your first call.
- [Agents](https://docs.xpander.ai/developers/sdk-reference/agents.md): List, load, and interact with agents stored in the xpander.ai platform.
- [Tasks](https://docs.xpander.ai/developers/sdk-reference/tasks.md): Create, list, update, stop, and stream task executions.
- [Backend](https://docs.xpander.ai/developers/sdk-reference/backend.md): The Backend module bridges your code and a stored agent configuration.
- [Tools](https://docs.xpander.ai/developers/sdk-reference/tools.md): Discover, register, and invoke tools (both backend-managed and locally registered).
- [Knowledge Bases](https://docs.xpander.ai/developers/sdk-reference/knowledge-bases.md): Create and manage RAG-style knowledge bases programmatically.
- [Decorators](https://docs.xpander.ai/developers/sdk-reference/decorators.md): Wire your code into the agent runtime (task handlers, lifecycle, and tool hooks).
- [Product Updates](https://docs.xpander.ai/changelog/product-updates.md)
- [2025](https://docs.xpander.ai/changelog/2025/product-updates.md)
- [2024](https://docs.xpander.ai/changelog/2024/product-updates.md)
- [AI Agents Connectors](https://docs.xpander.ai/connectors/index.md): Connect your AI agents to powerful apps and services with AI-Optimized connectors
- [Anchor Browser](https://docs.xpander.ai/connectors/anchor-browser.md): Learn how to integrate AI agents with Anchor Browser using xpander.ai. Create intelligent AI agents that can browse the internet and complete complex tasks end-to-end.
- [Apify](https://docs.xpander.ai/connectors/apify.md): Learn how to integrate AI agents with Apify using xpander.ai. Create intelligent agents that can gather information from websites, monitor online content, and automate repetitive web tasks.
- [Asana](https://docs.xpander.ai/connectors/asana.md): Learn how to integrate AI agents with Asana using xpander.ai. Create intelligent workflows that automate routine tasks, assign responsibilities, and provide real-time insights to enhance team productivity and decision-making.
- [Calendly](https://docs.xpander.ai/connectors/calendly.md): Learn how to integrate AI agents with Calendly using xpander.ai. Create intelligent scheduling workflows that automatically coordinate meetings, personalize communication, and adapt to real-time changes.
- [Clickup](https://docs.xpander.ai/connectors/clickup.md): Learn how to integrate AI agents with ClickUp using xpander.ai. Create automated workflows that leverage AI to streamline task management, generate smart task summaries, and boost team productivity.
- [Confluence](https://docs.xpander.ai/connectors/confluence.md): Learn how to integrate AI agents with Confluence using xpander.ai. Create intelligent workflows that automate documentation, generate dynamic content, and surface relevant knowledge across your Confluence spaces using AI-powered agents.
- [Datadog](https://docs.xpander.ai/connectors/datadog.md): Learn how to integrate AI agents with Datadog using xpander.ai. Create intelligent observability workflows that automatically detect anomalies, correlate incidents across your stack, and trigger remediation actions.
- [dbt Labs](https://docs.xpander.ai/connectors/dbt-labs.md): Learn how to integrate AI agents with dbt Labs using xpander.ai. Create intelligent workflows that automate data transformation, generate insights, and enhance analytics efficiency seamlessly within your data pipeline.
- [Dropbox](https://docs.xpander.ai/connectors/dropbox.md): Learn how to integrate AI agents with Dropbox using xpander.ai. Create intelligent agents that automatically organize, analyze, and act on your files, whether it's summarizing documents, tagging images, or triggering actions based on file updates.
- [Fibery](https://docs.xpander.ai/connectors/fibery.md): Learn how to integrate AI agents with Fibery using xpander.ai. Create intelligent workflows that automate routine tasks, extract actionable insights from unstructured data like customer feedback, and trigger updates across your workspace.
- [Github Actions Manager](https://docs.xpander.ai/connectors/github-actions-manager.md): Learn how to integrate AI agents with GitHub Actions Manager using xpander.ai. Create dynamic, event-driven workflows where agents can trigger, monitor, and manage Actions workflows in real time.
- [Github Issues Manager](https://docs.xpander.ai/connectors/github-issues-manager.md): Learn how to integrate AI agents with GitHub Issues Manager using xpander.ai. Create intelligent automation pipelines that monitor, generate, and triage issues in real time.
- [Github Search Manager](https://docs.xpander.ai/connectors/github-search-manager.md): Learn how to integrate AI agents with GitHub Search Manager using xpander.ai. Create intelligent workflows that dynamically query GitHub repositories, issues, and codebases based on contextual prompts.
- [Gitlab](https://docs.xpander.ai/connectors/gitlab.md): Learn how to integrate AI agents with GitLab using xpander.ai. Create automated workflows that enhance your CI/CD pipelines, streamline code reviews, and boost project management efficiency.
- [Google Analytics](https://docs.xpander.ai/connectors/google-analytics.md): Learn how to integrate AI agents with Google Analytics using xpander.ai. Create intelligent, data-aware agents that can autonomously analyze, interpret, and act on your website's traffic and user behavior data.
- [Google BigQuery](https://docs.xpander.ai/connectors/google-bigquery.md): Learn how to integrate AI agents with Google BigQuery using xpander.ai. Create intelligent workflows that automatically query, analyze, and act on large-scale datasets.
- [Google Calendar](https://docs.xpander.ai/connectors/google-calendar.md): Learn how to integrate AI agents with Google Calendar using xpander.ai. Create intelligent workflows that automatically schedule meetings, manage availability, send reminders, and adjust events in real-time based on contextual data.
- [Google Cloud Monitoring](https://docs.xpander.ai/connectors/google-cloud-monitoring.md): Learn how to integrate AI agents with Google Cloud Monitoring using xpander.ai. Create intelligent AI agents that can automatically track metrics, respond to alerts, and take action on real-time performance and system health insights across your cloud infrastructure.
- [Google Docs](https://docs.xpander.ai/connectors/google-docs.md): Learn how to integrate AI agents with Google Docs using xpander.ai. Create intelligent workflows that automatically analyze, summarize, and generate content within your documents.
- [Google Drive](https://docs.xpander.ai/connectors/google-drive.md): Learn how to build AI agents with Google Drive access using xpander.ai. Create intelligent document-aware AI assistants that can read, write, organize, and analyze files automatically.
- [Google Forms](https://docs.xpander.ai/connectors/google-forms.md): Learn how to integrate AI agents with Google Forms using xpander.ai. Create dynamic, intelligent forms that can automatically analyze responses, provide personalized follow-ups, and streamline data collection.
- [Google Gmail](https://docs.xpander.ai/connectors/google-gmail.md): Learn how to integrate AI agents with Google Gmail using xpander.ai. Create automated workflows that streamline your email management, enhance productivity with smart replies, and personalize customer interactions by leveraging AI-driven insights.
- [Google Sheets](https://docs.xpander.ai/connectors/google-sheets.md): Learn how to integrate AI agents with Google Sheets using xpander.ai. Create intelligent workflows that automate data analysis, trigger actions based on cell values, and enable natural language interaction with your spreadsheets.
- [Google Tasks](https://docs.xpander.ai/connectors/google-tasks.md): Learn how to integrate AI agents with Google Tasks using xpander.ai. Create intelligent task workflows that automatically add, update, or complete tasks based on triggers from your apps, conversations, or calendar events.
- [HubSpot Blogs](https://docs.xpander.ai/connectors/hubspot-blogs.md): Learn how to integrate AI agents with HubSpot Blogs using xpander.ai. Create intelligent, automated content workflows that personalize blog posts, optimize SEO in real-time, and schedule publishing based on audience engagement trends.
- [HubSpot CRM](https://docs.xpander.ai/connectors/hubspot-crm.md): Learn how to integrate AI agents with HubSpot CRM using xpander.ai. Create intelligent workflows that automatically engage leads, update contact records, and trigger personalized follow-ups based on real-time customer interactions.
- [Intercom](https://docs.xpander.ai/connectors/intercom.md): Learn how to integrate AI agents with Intercom using xpander.ai. Create intelligent, automated workflows that seamlessly connect your AI agent with Intercom's chat, inbox, and help center features to provide instant, context-aware support across your customer journey.
- [Jira](https://docs.xpander.ai/connectors/jira.md): Learn how to integrate AI agents with Jira using xpander.ai. Create intelligent workflows that automatically assign tasks, analyze issue trends, generate reports, and trigger actions based on project activity.
- [Linear](https://docs.xpander.ai/connectors/linear.md): Learn how to integrate AI agents with Linear using xpander.ai. Create automated workflows that can triage issues, assign tasks based on workload, update statuses in real-time, and generate progress summaries—streamlining your entire development pipeline.
- [Looker](https://docs.xpander.ai/connectors/looker.md): Learn how to integrate AI agents with Looker using xpander.ai. Create intelligent data workflows that enable AI agents to analyze Looker models, generate actionable insights, and trigger automated business decisions in real time.
- [MeetGeek](https://docs.xpander.ai/connectors/meetgeek.md): Learn how to integrate AI agents with MeetGeek using xpander.ai. Create intelligent meeting assistants that automatically capture, summarize, and share key discussion points by leveraging MeetGeek's advanced transcription and integration capabilities.
- [Mixpanel](https://docs.xpander.ai/connectors/mixpanel.md): Learn how to integrate AI agents with Mixpanel using xpander.ai. Build intelligent workflows that query event data, analyze user behavior, track funnels, and generate insights from your product analytics.
- [MongoDB Atlas](https://docs.xpander.ai/connectors/mongodb-atlas.md): Learn how to integrate AI agents with MongoDB Atlas using xpander.ai. Enable intelligent workflows that query, insert, update, and delete data across your MongoDB collections, run aggregation pipelines, and discover database schemas.
- [Microsoft OneDrive](https://docs.xpander.ai/connectors/microsoft-onedrive.md): Learn how to integrate AI agents with Microsoft OneDrive using xpander.ai. Create AI agents that can securely interact with Microsoft OneDrive to manage files and documents across workflows.
- [Microsoft Outlook](https://docs.xpander.ai/connectors/microsoft-outlook.md): Learn how to integrate AI agents with Microsoft Outlook using xpander.ai. Create intelligent AI agents that can securely access your Outlook email, calendar, and contacts to complete scheduling and communication tasks.
- [Microsoft SharePoint](https://docs.xpander.ai/connectors/microsoft-sharepoint.md): Learn how to integrate AI agents with Microsoft SharePoint using xpander.ai. Create intelligent AI agents that can securely access SharePoint sites, lists, and documents to complete collaboration tasks.
- [Microsoft Teams](https://docs.xpander.ai/connectors/microsoft-teams.md): Learn how to integrate AI agents with Microsoft Teams using xpander.ai. Create intelligent AI agents that can securely access channels, chats, meetings, and files to automate tasks and improve team collaboration.
- [Monday](https://docs.xpander.ai/connectors/monday.md): Learn how to integrate AI agents with Monday using xpander.ai. Create intelligent workflows that automatically assign tasks, prioritize requests, and resolve issues by embedding AI-driven decision-making directly into your Monday boards.
- [Notion](https://docs.xpander.ai/connectors/notion.md): Learn how to integrate AI agents with Notion using xpander.ai. Create intelligent workflows that automate tasks, generate content, summarize notes, and enhance decision-making.
- [PagerDuty](https://docs.xpander.ai/connectors/pagerduty.md): Learn how to integrate AI agents with PagerDuty using xpander.ai. Create intelligent workflows that automatically detect incidents, analyze their impact, and trigger the appropriate on-call responders.
- [Power BI](https://docs.xpander.ai/connectors/power-bi.md): Learn how to integrate AI agents with Power BI using xpander.ai. Create intelligent dashboards that leverage natural language queries, automated insights, and predictive analytics for real-time, data-driven decision-making.
- [Recall.ai](https://docs.xpander.ai/connectors/recall-ai.md): Learn how to integrate AI agents with Recall.ai using xpander.ai. Create intelligent, real-time meeting assistants that can join calls across Zoom, Google Meet, and Microsoft Teams, transcribe conversations live.
- [Amazon Redshift](https://docs.xpander.ai/connectors/redshift.md): Connect Amazon Redshift to xpander using IAM authentication
- [Slack](https://docs.xpander.ai/connectors/slack.md): Learn how to integrate AI agents with Slack using xpander.ai. Create seamless workflows that automate repetitive tasks, provide instant insights, and enhance team collaboration by leveraging AI-powered assistants directly within your Slack channels and conversations.
- [Snowflake](https://docs.xpander.ai/connectors/snowflake.md): Learn how to integrate AI agents with Snowflake using xpander.ai. Create intelligent agents that can query your Snowflake data warehouse, retrieve analytics insights, explore databases and schemas, and automate data-driven workflows.
- [Statuspage](https://docs.xpander.ai/connectors/statuspage.md): Learn how to integrate AI agents with StatusPage using xpander.ai. Create automated workflows that detect incidents, trigger real-time updates, and communicate seamlessly with users through your customized status page.
- [Supabase](https://docs.xpander.ai/connectors/supabase.md): Learn how to integrate AI agents with Supabase using xpander.ai. Create intelligent, data-driven applications that leverage Supabase’s real-time PostgreSQL database, authentication, and storage features.
- [Supabase Database](https://docs.xpander.ai/connectors/supabase-database.md): Learn how to integrate AI agents with Supabase Database using xpander.ai. Create intelligent applications where agents can query, update, and respond to real-time data events using Supabase’s PostgreSQL backend.
- [Tableau](https://docs.xpander.ai/connectors/tableau.md): Learn how to integrate AI agents with Tableau using xpander.ai. Create intelligent dashboards that deliver contextual insights, automate data-driven decisions, and enable natural language interactions for a seamless analytics experience.
- [Tomorrow.io](https://docs.xpander.ai/connectors/tomorrow-io.md): Learn how to integrate AI agents with Tomorrow.io using xpander.ai. Create intelligent, weather-aware systems that dynamically adjust operations according to real-time climate data.
- [Twilio](https://docs.xpander.ai/connectors/twilio.md): Learn how to integrate AI agents with Twilio using xpander.ai. Create intelligent communication workflows that can autonomously handle customer interactions via SMS, voice, or WhatsApp—powered by real-time AI decision-making.
- [Zapier](https://docs.xpander.ai/connectors/zapier.md): Learn how to integrate AI agents with Zapier using xpander.ai. Create powerful, automated workflows that allow your AI agents to trigger actions, respond to events, and orchestrate tasks across thousands of apps.
- [Zendesk](https://docs.xpander.ai/connectors/zendesk.md): Learn how to integrate AI agents with Zendesk using xpander.ai. Create seamless, automated customer interactions that enhance support efficiency, reduce response times, and deliver personalized experiences by leveraging AI-powered chatbots and smart ticket routing.
- [Zoho](https://docs.xpander.ai/connectors/zoho.md): Learn how to integrate AI agents with Zoho using xpander.ai. Create intelligent, low-code applications on Zoho Creator that leverage AI-driven automation, enabling your agents to analyze data, trigger workflows, and interact with customers seamlessly across your Zoho ecosystem.
- [Zoom](https://docs.xpander.ai/connectors/zoom.md): Learn how to integrate AI agents with Zoom using xpander.ai. Create intelligent virtual assistants that can join meetings, transcribe conversations, provide real-time insights, and automate follow-up actions seamlessly.
- [API Documentation](https://docs.xpander.ai/api-reference/index.md): REST API, Python SDK, and MCP Protocol for building and managing AI agents
- [Platform REST API](https://docs.xpander.ai/api-reference/rest-api.md): Universal REST API for managing agents, tasks, and knowledge bases
- [Invoke an Agent via API](https://docs.xpander.ai/api-reference/invoke-api.md): Call any xpander agent using a simple HTTP request with curl or any HTTP client.
- [Invoke a Connector via API](https://docs.xpander.ai/api-reference/invoke-connector-api.md): Find a connector, get its connection, list its operations, and invoke any operation with curl — no agent or task required.
- [Model Context Protocol](https://docs.xpander.ai/api-reference/mcp.md): Expose agents and tools as MCP servers for Claude Desktop, Cursor, and other MCP clients
- [List Agents](https://docs.xpander.ai/api-reference/v1/agents/list-agents.md): Retrieve a paginated list of agents with core metadata. The response may include additional summary fields beyond ID, name, and status.
- [List Agents (Full Details)](https://docs.xpander.ai/api-reference/v1/agents/list-agents-full.md): Retrieve a paginated list of AI agents in the simplified view (tools as one flat list, no low-level graph/oas).
- [Create Agent](https://docs.xpander.ai/api-reference/v1/agents/create-agent.md): Create a new AI agent with specified configuration, tools, and knowledge bases
- [Get Agent](https://docs.xpander.ai/api-reference/v1/agents/get-agent.md): Retrieve an agent in a simplified view — its attached tools as one flat list, plus core configuration.
- [Update Agent](https://docs.xpander.ai/api-reference/v1/agents/update-agent.md): Update an existing AI agent's configuration, tools, or knowledge bases
- [Deploy Agent](https://docs.xpander.ai/api-reference/v1/agents/deploy-agent.md): Deploy an AI agent to make it active and available for task execution
- [Delete Agent](https://docs.xpander.ai/api-reference/v1/agents/delete-agent.md): Permanently delete an AI agent and all associated resources
- [List Agent Tools](https://docs.xpander.ai/api-reference/v1/agents/tools/list-agent-tools.md): List the tools attached to an agent in a simple, unified shape.
- [Add Agent Tool](https://docs.xpander.ai/api-reference/v1/agents/tools/add-agent-tool.md): Attach a tool to an agent (action, custom_function, mcp, agent, or workflow). The API handles catalog resolution and graph wiring.
- [Remove Agent Tool](https://docs.xpander.ai/api-reference/v1/agents/tools/remove-agent-tool.md): Remove a tool from an agent by its tool id (the id returned by List Agent Tools).
- [Invoke Agent (Sync)](https://docs.xpander.ai/api-reference/v1/agents/invoke-sync.md): Execute an agent and wait for completion. Returns the final result.
- [Invoke Agent (Async)](https://docs.xpander.ai/api-reference/v1/agents/invoke-async.md): Execute an agent asynchronously. Returns immediately with a task ID for polling.
- [Invoke Agent (Stream)](https://docs.xpander.ai/api-reference/v1/agents/invoke-stream.md): Execute an agent with real-time Server-Sent Events (SSE). Reusing `id` continues the same task/thread.
- [Get Agent Tasks](https://docs.xpander.ai/api-reference/v1/agents/get-agent-tasks.md): Retrieve paginated list of task executions for a specific agent with optional filters
- [Get Agent Inbox](https://docs.xpander.ai/api-reference/v1/agents/get-agent-inbox.md): List the conversations that reached an agent by email or WhatsApp
- [Export Agent](https://docs.xpander.ai/api-reference/v1/agents/export-agent.md): Export an AI agent as a reusable template with configuration and knowledge bases
- [Import Agent](https://docs.xpander.ai/api-reference/v1/agents/import-agent.md): Import an AI agent from a template and create a new agent instance
- [List Scheduled Tasks](https://docs.xpander.ai/api-reference/v1/agents/scheduled-tasks/list-scheduled-task.md): List an agent's recurring scheduled tasks.
- [Create Scheduled Task](https://docs.xpander.ai/api-reference/v1/agents/scheduled-tasks/create-scheduled-task.md): Create a recurring scheduled task (cron + prompt) for an agent.
- [Update Scheduled Task](https://docs.xpander.ai/api-reference/v1/agents/scheduled-tasks/update-scheduled-task.md): Update a scheduled task's cron, prompt, title, or enabled state.
- [Run Scheduled Task Now](https://docs.xpander.ai/api-reference/v1/agents/scheduled-tasks/run-scheduled-task.md): Fire a scheduled task immediately, regardless of its cron schedule.
- [Delete Scheduled Task](https://docs.xpander.ai/api-reference/v1/agents/scheduled-tasks/delete-scheduled-task.md): Delete a scheduled task by its id.
- [List Self-Schedules](https://docs.xpander.ai/api-reference/v1/agents/self-schedules/list-self-schedule.md): List an agent's self-scheduled future runs.
- [Get Self-Schedule Settings](https://docs.xpander.ai/api-reference/v1/agents/self-schedules/get-self-schedule-settings.md): Read whether the agent may schedule its own future runs, and its per-task cap.
- [Set Self-Schedule Settings](https://docs.xpander.ai/api-reference/v1/agents/self-schedules/set-self-schedule-settings.md): Enable or disable the agent's self-scheduling capability and its per-task cap.
- [Cancel Self-Schedule](https://docs.xpander.ai/api-reference/v1/agents/self-schedules/cancel-self-schedule.md): Cancel a pending self-scheduled run by its id.
- [Bash](https://docs.xpander.ai/api-reference/v1/agents/workspace/bash.md): Execute a shell command inside the agent's workspace
- [File Read](https://docs.xpander.ai/api-reference/v1/agents/workspace/file-read.md): Read a file from the agent's workspace filesystem
- [File Write](https://docs.xpander.ai/api-reference/v1/agents/workspace/file-write.md): Create or overwrite a file in the agent's workspace filesystem
- [File Edit](https://docs.xpander.ai/api-reference/v1/agents/workspace/file-edit.md): Edit a file in the agent's workspace by replacing an exact text occurrence
- [Multi Edit](https://docs.xpander.ai/api-reference/v1/agents/workspace/multi-edit.md): Apply multiple file edits atomically in the agent's workspace
- [Glob](https://docs.xpander.ai/api-reference/v1/agents/workspace/glob.md): Find files in the agent's workspace matching a glob pattern
- [Grep](https://docs.xpander.ai/api-reference/v1/agents/workspace/grep.md): Search for a regex pattern across files in the agent's workspace
- [File Share](https://docs.xpander.ai/api-reference/v1/agents/workspace/file-share.md): Publish a file from the agent's workspace to a public CDN URL
- [Agent Gateway](https://docs.xpander.ai/api-reference/v1/agents/gateway/overview.md): The multi-turn conversational surface for talking with an agent over a long-lived conversation.
- [Run Gateway Turn](https://docs.xpander.ai/api-reference/v1/agents/gateway/run-turn.md): Run a gateway turn and wait for the finalized execution.
- [Run Gateway Turn (Stream)](https://docs.xpander.ai/api-reference/v1/agents/gateway/run-turn-stream.md): Run a gateway turn and stream every event over SSE.
- [Send Conversation Message](https://docs.xpander.ai/api-reference/v1/agents/gateway/send-message.md): Send a follow-up to a (possibly running) conversation.
- [Conversation Run State](https://docs.xpander.ai/api-reference/v1/agents/gateway/run-state.md): Cheap snapshot of a conversation's run and queue state.
- [Drain Conversation Queue](https://docs.xpander.ai/api-reference/v1/agents/gateway/drain-stream.md): Drain an idle conversation's queued follow-ups, streaming each turn over SSE.
- [Cancel Queued Message](https://docs.xpander.ai/api-reference/v1/agents/gateway/cancel-queued.md): Cancel one pending queued message by id.
- [Clear Conversation Queue](https://docs.xpander.ai/api-reference/v1/agents/gateway/clear-queue.md): Cancel every pending queued message for the conversation.
- [Stop Conversation](https://docs.xpander.ai/api-reference/v1/agents/gateway/stop.md): Cancel the active run for a conversation.
- [Get Conversation](https://docs.xpander.ai/api-reference/v1/agents/gateway/get-conversation.md): Fetch a conversation's execution, activity thread, usage, and sub-executions.
- [Submit Question Answers](https://docs.xpander.ai/api-reference/v1/agents/gateway/submit-answers.md): Answer a prior ask_user_questions card and resume the turn (SSE).
- [Edit Message + Re-invoke](https://docs.xpander.ai/api-reference/v1/agents/gateway/edit-message.md): Rewrite a prior user message and re-run the gateway (sync).
- [Edit Message + Re-invoke (Stream)](https://docs.xpander.ai/api-reference/v1/agents/gateway/edit-message-stream.md): Stream variant of edit + re-invoke.
- [List Tasks](https://docs.xpander.ai/api-reference/v1/tasks/list-tasks.md): Get paginated list of tasks with optional filtering by status, agent, or date range
- [Get Task](https://docs.xpander.ai/api-reference/v1/tasks/get-task.md): Retrieve detailed information about a specific task by its unique identifier
- [Stop Task](https://docs.xpander.ai/api-reference/v1/tasks/stop-task.md): Stop a running task
- [Delete Task](https://docs.xpander.ai/api-reference/v1/tasks/delete-task.md): Delete a task and its associated data
- [Get Task Thread](https://docs.xpander.ai/api-reference/v1/tasks/get-thread.md): Get task conversation thread with user and assistant messages
- [Get Task Thread (Full)](https://docs.xpander.ai/api-reference/v1/tasks/get-thread-full.md): Get complete conversation thread including all sub-task messages and tool calls
- [Get Task LLM Usage](https://docs.xpander.ai/api-reference/v1/tasks/get-llm-usage.md): Get LLM token usage for a specific task
- [List Knowledge Bases](https://docs.xpander.ai/api-reference/v1/knowledge/list-knowledge-bases.md): Returns a paginated list of knowledge bases
- [Create Knowledge Base](https://docs.xpander.ai/api-reference/v1/knowledge/create-knowledge-base.md): Creates a new knowledge base
- [Get Knowledge Base](https://docs.xpander.ai/api-reference/v1/knowledge/get-knowledge-base.md): Get knowledge base details by ID
- [Update Knowledge Base](https://docs.xpander.ai/api-reference/v1/knowledge/update-knowledge-base.md): Updates a knowledge base
- [Delete Knowledge Base](https://docs.xpander.ai/api-reference/v1/knowledge/delete-knowledge-base.md): Deletes knowledge base by ID
- [Search Knowledge Base](https://docs.xpander.ai/api-reference/v1/knowledge/search-knowledge-base.md): Search in knowledge base using vector search
- [List Knowledge Base Documents](https://docs.xpander.ai/api-reference/v1/knowledge/list-documents.md): Get paginated list of documents in a knowledge base
- [Add Documents to Knowledge Base](https://docs.xpander.ai/api-reference/v1/knowledge/add-documents.md): Add one or more documents to a knowledge base
- [Get Knowledge Base Document](https://docs.xpander.ai/api-reference/v1/knowledge/get-document.md): Get detailed information about a specific document in a knowledge base
- [Delete Knowledge Base Document](https://docs.xpander.ai/api-reference/v1/knowledge/delete-document.md): Delete a specific document from a knowledge base
- [List Workflows](https://docs.xpander.ai/api-reference/v1/workflows/list-workflows.md): Retrieve a paginated list of workflows
- [Get Workflow](https://docs.xpander.ai/api-reference/v1/workflows/get-workflow.md): Retrieve detailed information about a specific workflow by its unique identifier
- [Create Workflow](https://docs.xpander.ai/api-reference/v1/workflows/create-workflow.md): Create a new multi-step agentic workflow with a visual canvas of nodes
- [Update Workflow](https://docs.xpander.ai/api-reference/v1/workflows/update-workflow.md): Update an existing workflow's configuration, nodes, or settings
- [Deploy Workflow](https://docs.xpander.ai/api-reference/v1/workflows/deploy-workflow.md): Deploy a workflow to make it active and available for execution
- [Delete Workflow](https://docs.xpander.ai/api-reference/v1/workflows/delete-workflow.md): Permanently delete a workflow and all associated resources
- [Invoke Workflow (Sync)](https://docs.xpander.ai/api-reference/v1/workflows/invoke-sync.md): Invoke a workflow and wait for completion. Returns the final result.
- [Invoke Workflow (Async)](https://docs.xpander.ai/api-reference/v1/workflows/invoke-async.md): Invoke a workflow asynchronously. Returns immediately with task ID.
- [Invoke Workflow (Stream)](https://docs.xpander.ai/api-reference/v1/workflows/invoke-stream.md): Invoke a workflow with real-time streaming. Returns Server-Sent Events (SSE).
- [List Workflow Nodes](https://docs.xpander.ai/api-reference/v1/workflows/nodes/list-workflow-nodes.md): List a workflow's orchestration nodes in a simplified shape.
- [Add Workflow Node](https://docs.xpander.ai/api-reference/v1/workflows/nodes/add-workflow-node.md): Add a node to a workflow DAG (action, agent, or advanced) and wire its edges. Cycles are rejected.
- [Remove Workflow Node](https://docs.xpander.ai/api-reference/v1/workflows/nodes/remove-workflow-node.md): Remove a node from a workflow and scrub edges that pointed to it.
- [List Tools](https://docs.xpander.ai/api-reference/v1/tools/list-tools.md): Unified catalog of attachable tools: connectors, agents, workflows, custom functions, and MCP servers.
- [Search Tools](https://docs.xpander.ai/api-reference/v1/tools/search-tools.md): Fuzzy search the unified tool catalog by name or description.
- [List Connector Operations](https://docs.xpander.ai/api-reference/v1/tools/list-connector-operations.md): List (or search) a connection's operations. Use an operation's id as operation_id when attaching it to an agent.
- [Get Connector Operation Schema](https://docs.xpander.ai/api-reference/v1/tools/get-connector-operation-schema.md): Get an operation's input/output schema. input is a JSON schema grouping query_params/path_params/body_params - the same structure Invoke Connector Operation accepts; output is the operation's success (2xx application/json) response schema. All $ref references are resolved inline.
- [Connect Connector](https://docs.xpander.ai/api-reference/v1/tools/connect-connector.md): Create a connection to a connector. For OAuth2 connectors, returns an oauth2_required response with a connector_page_url to complete browser auth.
- [Invoke Connector Operation](https://docs.xpander.ai/api-reference/v1/tools/invoke-connector-operation.md): Invoke a connector operation on a connection directly - no agent or task required. The response is the target API's response.
- [List Custom Functions](https://docs.xpander.ai/api-reference/v1/custom_functions/list-custom-functions.md): List all custom functions in the organization
- [Get Custom Function](https://docs.xpander.ai/api-reference/v1/custom_functions/get-custom-function.md): Get a custom function by ID, including its source code, input schema, and status
- [Create Custom Function](https://docs.xpander.ai/api-reference/v1/custom_functions/create-custom-function.md): Create a new custom function with Python source code
- [Update Custom Function](https://docs.xpander.ai/api-reference/v1/custom_functions/update-custom-function.md): Update an existing custom function
- [Delete Custom Function](https://docs.xpander.ai/api-reference/v1/custom_functions/delete-custom-function.md): Permanently delete a custom function
- [Generate Custom Function](https://docs.xpander.ai/api-reference/v1/custom_functions/generate-custom-function.md): AI-generate a custom function from a natural language description
- [Execute Custom Function](https://docs.xpander.ai/api-reference/v1/custom_functions/execute-custom-function.md): Execute a custom function with the provided parameters
- [Get Database Connection](https://docs.xpander.ai/api-reference/v1/misc/get-database.md): Get PostgreSQL database connection string for your organization
- [List LLM Providers](https://docs.xpander.ai/api-reference/v1/misc/list-llm-providers.md): Returns a list of available LLM providers
- [List LLM Models](https://docs.xpander.ai/api-reference/v1/misc/list-llm-models.md): Returns available models for a specific LLM provider

## OpenAPI Specs

- [openapi](https://docs.xpander.ai/api-reference/openapi.json)