Hexabot

Workflow-Automatisierung & RPA

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Hexabot V3 enables organizations and developers to build, deploy, and manage self-hosted artificial intelligence workflow automations that facilitate multichannel customer service, operational tasks, and conversational interactions. Its main features include visual and YAML-based workflow modeling, integration with various communication platforms, reusable actions and API bindings, memory management with retrieval-augmented capabilities, and human review points, solving problems related to scalable AI-driven automation, data privacy, and multi-platform coordination, making it ideal for customer support teams, AI developers, small businesses, and enterprises seeking customizable, controlled, and solid AI workflows.

Hexabot kann gefunden werden in Workflow Automation & RPA Kategorien.

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Hexabot Hauptfunktionen

• Pricing Plans
  Choose a plan based on your needs, with options for freelancers, small teams, large teams, free use, or enterprise setups.
• Memory and Context
  Allow workflows to remember past conversations, use additional data, and connect with tools to improve responses.
• Service Operations
  Run chatbots and assistants in multiple languages across websites, messaging, and social media, with control over roles and analytics.
• Human Review Points
  Add steps for humans to review or take over when the automation needs extra help or judgment.
• Actions and Bindings
  Connect reusable actions, language model calls, and external tools with clear instructions for input and output.
• Community and Support
  Share ideas, get updates, and contact support via GitHub, Discord, and other platforms.
• Ownership and Control
  Self-host the workflows, memory, tools, and data to keep everything secure and private.
• Connect Multiple Channels
  Link AI workflows to messaging apps, websites, social media, and custom platforms for customer service and operations.
• Visualization and YAML Control
  Design workflow flowcharts visually or use YAML files for easy editing, with safety checks and version control.
• Build and Run Workflows Locally
  Use a special tool called CLI to start new projects, connect conversations to actions, and develop workflows on your computer.
• Self-Host AI Workflow Automation
  Create and run AI workflows that can talk, act, and remember across different channels, all on your own servers.
• Source-Available and On-Premise Deployment
  Inspect, modify, and host the full code yourself, keeping full control over data and workflows.

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