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Agent Inbox UI

Free plan available

Web app for human-in-the-loop interactions with AI agents in LangGraph applications

Human interaction facilitation
Ai workflow engagement
Agent action editing

About Agent Inbox UI

Launched Jan 16, 2025

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Introduction Video

Description

Web app for human-in-the-loop interactions with AI agents in LangGraph applications

Agent Inbox is an open-source web application that facilitates human-in-the-loop interactions with AI agents in LangGraph apps. It provides a user-friendly interface for both technical and non-technical users to engage with AI workflows. The tool supports various interaction types, including accepting, editing, or responding to agent actions, and can be integrated with any LangGraph application running locally or deployed.
Agent Inbox UI website

Agent Inbox UI Key Features

  • Compatible with any LangGraph app (Python and JavaScript/TypeScript)
  • Supports multiple human-in-the-loop action types (accept, edit, respond, ignore)
  • Customizable interrupt configurations
  • Local storage for API keys and inbox settings
  • Markdown support for detailed interrupt descriptions
  • Easy setup and configuration process

Agent Inbox UI Use Cases

  • Reviewing and approving AI-generated content
  • Editing AI tool calls or arguments
  • Providing custom responses to AI queries
  • Monitoring and managing multiple AI agent workflows
  • Facilitating collaboration between AI systems and human experts

Pros

  • Open-source nature allows for customization and transparency.
  • Facilitates human-in-the-loop interactions, enhancing the decision-making process.
  • User-friendly interface suitable for both technical and non-technical users.
  • Supports various interaction types like accepting, editing, or responding to agent actions.
  • Can be integrated with any LangGraph application running locally or deployed, providing flexibility.

Cons

  • Being web-based may require a stable internet connection for optimal performance.
  • Integration with applications other than LangGraph may not be straightforward.
  • As an open-source tool, it may rely heavily on community support for updates and troubleshooting.
  • Limited reviews available to get a comprehensive understanding of user experiences.

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