NewList your AI tool for $19 $49. Paste a URL and AI drafts the listing.Submit a tool →Already listed? Claim it free.Claim your tool →

HumanLayer

Adds human oversight into automated AI workflows via API, ensuring safe, compliant, and high-quality decisions at critical points.

$100Starting price
96KMonthly visits
33Popularity
HumanLayer featured image

About HumanLayer

HumanLayer is a multiplayer coding agent IDE and cloud platform designed to enhance collaboration between human developers and AI agents throughout the software development lifecycle. The tool unifies agent sessions, plan artifacts, and code diffs into a single workspace, enabling teams to coordinate, review, and refine work in real time. Developers can bring their own compute and development environments or leverage HumanLayer’s stack for local or remote agent orchestration. The platform emphasizes structured workflows with phases for questioning, research, design, structuring, planning, and implementation, ensuring alignment and quality control at every step. Artifacts such as design documents, research summaries, and implementation plans are versioned and tied directly to tasks, fostering transparency and reducing the risk of large-scale errors. HumanLayer supports comment-driven refinement, allowing teams to catch mistakes early and maintain continuous feedback loops between humans and agents. The system is accessible via a consistent interface across web, desktop, and mobile devices, with agents continuing to operate even if a user’s local machine is offline.

Key features

  • AI agent pause and human approval requests
  • Omnichannel notifications (Slack, email, Discord)
  • Multi-step approval workflows
  • Escalation paths for critical decisions
  • Comprehensive audit trails
  • Integration with LangChain, CrewAI, LlamaIndex, and OpenAI
  • Human feedback and expert input at decision points
  • Safety mechanism for high-stakes AI actions

Use cases

  • Adding human oversight to automated customer support workflows
  • Ensuring compliance in AI-driven financial or legal processes
  • Validating critical decisions in autonomous business systems

Pros

  • Enables real-time collaboration between humans and AI agents within a unified workspace
  • Supports structured workflows with checkpoints for verification at each phase
  • Provides full session visibility, including agent thinking, tool calls, and code changes
  • Offers cross-platform access via web, desktop, or mobile with synchronized state
  • Facilitates comment-driven refinement and design reviews integrated directly with code artifacts

Cons

  • May require initial setup for teams unfamiliar with agent-based development workflows
  • Dependent on stable internet connectivity for cloud-based collaboration features
  • Limited to environments where agent-based coding is applicable or desired

Frequently asked questions about HumanLayer

What is HumanLayer and who is it designed for?

HumanLayer is a multiplayer coding agent IDE and cloud platform designed for teams that want to collaborate with AI agents on software development tasks. It is particularly suited for engineering teams, product managers, and technical leads who need structured workflows, real-time collaboration, and integrated artifact management.

How does HumanLayer integrate with existing development workflows?

HumanLayer allows teams to bring their own compute, development environment, or agent harness, or run the platform's stack locally or in the cloud. It synchronizes state across devices and provides a unified interface for managing tasks, sessions, and artifacts.

What kind of workflows does HumanLayer support?

The platform supports structured workflows with six phases: questioning, research, design, structuring, planning, and implementation. Each phase includes checkpoints for verification and collaboration, ensuring alignment and reducing the risk of large-scale errors.

Can HumanLayer be used for non-coding tasks?

While HumanLayer is primarily designed for software development workflows, its structured collaboration and artifact management features could potentially be adapted for other knowledge-intensive tasks that require team coordination and iterative refinement.

How does HumanLayer handle collaboration between humans and AI agents?

HumanLayer enables real-time collaboration through comment-driven refinement, where humans and agents can comment on design documents, research findings, and implementation plans. Decisions and feedback are directly integrated into the agents' workflows.

What are the system requirements for using HumanLayer?

HumanLayer can run locally on a workstation or in the cloud, with a local daemon managing agent sessions in parallel. The platform supports Linux, Windows, and macOS, and provides installation instructions for each operating system.

HumanLayer traffic & engagement

humanlayer.dev · third-party estimates from Similarweb

Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 202696K+7.4% MoM12-month high 139K (Jun 2026)
Rank among AI websites#2,013▲ 67 vs last monthof 8,652 tools on aitoolnavio™
Rank in Automation & Agents#203of 1,179 tools in this category
Top marketUnited States21.4%Top 5 countries bring 44% of visits
Average visit34sTime on site per visit
Pages per visit1.95More than 54% of AI sites
Bounce rate43%Leave after one page · lower is better
Similarweb global rank#404,068#374,301 in United States

Traffic trend

Last 4 months · grows by one month every month

  • Jun 2026139K
  • Jul 2026119K−14.3%
  • Aug 202689K−25.2%
  • Sep 202696K+7.4%

Where visitors come from

Share of visits by channel

  • Search41.1%
  • Direct35.7%
  • Referrals11.5%
  • Social9.3%
  • Mail0.2%

No measurable traffic from Paid Referrals.

Top countries

Share of visits · estimated visits

  • United States21K21.4%
  • Germany7.3K7.6%
  • India6.4K6.7%
  • Singapore3.8K4%
  • South Korea3.7K3.9%

Other countries: 56.4%

Visits sent by AI assistants

How people reach this site from other AI tools

120 a month · 0.1% of all visits

  • ChatGPT0.1%
  • Claude0.1%

Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.

Reviews