HumanLayer - AI Agent Frameworks Tool

Overview

HumanLayer is an open-source API and SDK designed to add human-in-the-loop interactions to AI agents and automated workflows. It provides primitives for routing, requesting, and collecting human help, feedback, and approvals when an agent encounters ambiguity, risk, or required business decisions. The project targets use cases where fully autonomous behavior is undesirable — for example, content moderation, high-value transactional flows, or edge-case data labeling — and aims to make it straightforward to pause an agent, call for a human decision, and resume execution with the human response. The repository bundles an SDK and server components that integrate with agent frameworks and model APIs to surface human tasks (reviews, clarifications, approvals) to reviewers, log decisions for audit, and wire responses back into agent workflows. Because it’s open source on GitHub, teams can self-host, extend connectors, and inspect how human tasks are queued and audited. For detailed integration steps, SDK APIs, and live examples, consult the project repository at the provided GitHub URL.

Installation

Install via npm:

git clone https://github.com/humanlayer/humanlayer.git

cd humanlayer

npm install

Key Features

• API and SDK to pause agents and create human review tasks
• Support for approval workflows that resume agents after sign-off
• Feedback capture that can be used to improve model performance
• Task routing to assign reviewers and manage reviewer queues
• Audit logging of human interactions for traceability and compliance

Community

HumanLayer is published as an open-source project on GitHub. Primary community interactions occur via the repository’s issues and pull requests. For up-to-date contributor activity, issue backlog, and release cadence, review the project’s GitHub page directly.

Key Information

• Category: Agent Frameworks
• Type: AI Agent Frameworks Tool