Agent Inbox UI

Web interface for human-in-the-loop oversight of LangGraph AI agents.

4.8 (4)

审阅者 Daniel Nikulshyn·更新 2026年5月

概览

Agent Inbox UI is a web application designed to facilitate human-in-the-loop interactions with AI agents built on LangGraph. It provides a centralized inbox where developers and operators can review, approve, edit, or respond to agent actions that require human input before execution. The tool connects to LangGraph deployments and surfaces interrupts as actionable items, letting users intervene at critical decision points in agent workflows. This makes it useful for teams building autonomous agents that need supervision, validation steps, or collaborative decision-making between humans and AI.

主要功能

Inbox view of pending agent interrupts
Approve, edit, or reject agent actions
Connects to local and deployed LangGraph agents
Thread-based conversation history
Configurable agent endpoints
Human response injection into agent state

优点 & 缺点

优点

Purpose-built for LangGraph workflows
Centralizes human review of agent actions
Supports approve, edit, and respond interactions
Open-source and self-hostable

缺点

Limited to the LangGraph ecosystem
Requires technical setup and integration
Less useful outside agent development contexts

评测

4.8

4 个评分的平均值。

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Ahmed Saleh

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on inbox view of pending agent interrupts, and centralizes human review of agent actions caught me off guard. Limited to the LangGraph ecosystem is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Pierre Dubois

Does the job

Pretty happy overall. Configurable agent endpoints just works and supports approve, edit, and respond interactions. but no dealbreakers — I'd recommend it to a friend without hesitating.

Fatima Zahra

Use it every day

Honestly didn't expect to like it this much. Inbox view of pending agent interrupts is exactly what I needed, and supports approve, edit, and respond interactions. but I reach for it almost every day now and it just clicks.

Frank Müller

Does the job

Pretty happy overall. Approve, edit, or reject agent actions just works and centralizes human review of agent actions. Requires technical setup and integration can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.