HumanLayer is a multiplayer collaborative coding agent IDE and cloud platform, designed to bring agent sessions, planning artifacts, and code diffs together in one workspace for easier team collaboration and delivery. It can run seamlessly from a local workstation to cloud background agents.
Purpose
HumanLayer is aimed at software factory builders, providing composable components that let teams work within their existing compute environments, development environments, and agent frameworks, or run the HumanLayer stack directly on a workstation or remote worker. It emphasizes "don't outsource thinking," allowing engineers to retain ownership over code quality and architecture.
Main Capabilities
- Tasks: Group agent sessions, artifacts, and worktrees into one workspace for the whole team to collaborate on.
- Frontier workflows: Built by the team that proposed "context engineering," making frontier AI coding techniques shareable and collaborative, battle-tested on million-line enterprise codebases.
- Centralized artifact management: Artifacts such as research, design, plans, and prototypes are versioned, shareable, and bound to tasks.
- Comment-driven refinement: Humans and agents collaborate on design documents to catch mistakes before writing 2,000 lines of code.
- Full session visibility: Drill into every thought message, every subagent tool call, and every code change.
- Local to cloud: A local daemon can run multiple agent sessions in parallel on a laptop; a cloud daemon is used for long-running work. Everything syncs through the HumanLayer API, with a consistent UI on web, desktop, or mobile, and agents can continue working after the laptop is closed.
- Command palette: Superhuman-like keyboard shortcuts for jumping between tasks, sessions, and artifacts.
- Structured workflow: Six stages turn vague intent into deliverable code, with team-verifiable checkpoints: generate clarifying questions, map the codebase and dependencies, draft a design document for real-time comments, break it down into phased verifiable steps, detailed planning (file paths, test cases, acceptance criteria), and continuous feedback execution.
- Comment-driven design review: Inline comments on design documents let the team (humans and agents) collaborate in real time, with comments and decisions fed directly back to the agent, making the document a code interface.
- Quick task start: Describe the work, choose a workflow, and HumanLayer automatically configures the worktree and starts the first agent session; it can also pull directly from Linear or Jira tickets.
How to Use
Users can bring their own compute, development environment, and agent framework, or run the HumanLayer stack. BYOK (bring your own key) is supported, allowing connection to existing Claude, Codex, and other AI subscriptions or API keys, with no separate token-based billing. It supports agents and models such as Claude Code, Codex, Copilot, and Fireworks, with new models/subscription providers added regularly.
Use Cases
Suitable for collaborative team coding, solving problems in large enterprise codebases, and software delivery processes that require design review and planning artifacts.
Limitations and Notes
- HumanLayer itself is not yet open source, but some building blocks will be open sourced in the coming weeks or months; its Research, Plan, Implement (RPI) framework has already been open sourced.
- It supports multiple RPI and experimental workflows, and features for letting users bring their own skills and workflows are under active development.
- A free starter plan is available (for teams of up to 3), along with team and enterprise plans; the enterprise edition supports on-premises deployment and private VPCs, and provides ZDR and DPA agreements.
- HumanLayer is SOC 2 Type II compliant and uses Vanta to monitor security controls.
- Specific pricing, platform details, and more features are not yet available.
