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xpander.ai is a backend-as-a-service (BaaS) platform designed to help users deploy, manage, and scale AI agents, primarily integrating them as Slack teammates. It handles the underlying infrastructure, agent memory, tools, auto-engagement, LLM cost optimization, and user authentication, allowing AI agents to operate seamlessly within Slack workspaces without requiring users to manage complex backend systems.
## How to Use
To use xpander.ai, you follow three simple steps: 1. Create a Slack Agent by starting from a blueprint or bringing your own code, selecting an AI framework and template. 2. Add Slack as a Task Source by connecting your deployed agent to Slack via the xpander.ai console, configuring Slack OAuth, and selecting the desired channels. 3. Once configured, your agent is instantly deployed and live in your Slack workspace, ready to receive messages and perform tasks.
## Key Features
- Deploy AI Agents to Slack in minutes - Smart Engage for LLM cost optimization (saves 80%+) - Built-in OAuth for user-authenticated actions (GitHub, Jira, Google) - Automatic conversion of multimodal inputs (files, images, voice) to text - Framework-agnostic runtime (supports LangChain, CrewAI, OpenAI, Claude, etc.) - Persistent memory and thread management - Auto-scaling infrastructure and real-time monitoring
## Use Cases
- User-Authenticated Actions (e.g., showing open pull requests from GitHub) - Developer Assistant (e.g., checking API errors) - Incident Response automation - Security Copilot functionalities - Answering questions from documentation within Slack
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