humanlayer/humanlayer
Humanlayer
Humanlayer is an LLM coding agent orchestrator and AI-driven workflow manager designed to coordinate multiple agents in researching, designing, and implementing features across complex codebases. It provides a multi-agent development workspace that groups AI sessions, versioned design artifacts, and worktrees into collaborative team tasks.
The system features a bring-your-own-key LLM gateway to connect external AI model subscriptions and API keys. It utilizes remote AI agent daemons to run long-term coding sessions on cloud infrastructure, maintaining progress independently of the user's active device state.
The platform covers automated coding workflows that provision isolated worktrees and execute multi-stage orchestration through research and planning phases. It includes collaborative tools for real-time co-editing of design artifacts and observability features for auditing agent reasoning through tool-call traceability and execution tracking.
Features
- AI Agent Orchestrators - Coordinates multiple AI agents through structured workflows to research, design, and implement complex features.
- Remote Agent Deployments - Deploys agent sessions to cloud infrastructure to ensure progress on long-running tasks persists when local machines are offline.
- Cross-Agent Context Managers - Provides a system for maintaining shared technical state and codebase consistency across multiple specialized AI agents.
- Worktree Isolation - Creates dedicated filesystem branches via worktrees to ensure concurrent AI agent tasks do not conflict.
- Agent Orchestrators - Manages the lifecycle of agents through a structured sequence of research, design, and planning.
- Model Provider Integrations - Implements a bring-your-own-key integration to decouple model execution costs from platform billing.
- Agentic Workflow Pipelines - Guides agents through a sequential pipeline of research, design, and planning before allowing code implementation.
- AI Agent Integrations - Integrates external AI model subscriptions and API keys to power autonomous coding agents.
- AI Agent Workflow Definition - Defines sequential development stages including clarifying questions, research, and design drafting.
- AI Coding Agent Platforms - Provides an integrated platform for coordinating multiple AI agents to research, design, and implement features in complex codebases.
- Provider Configurations - Provides an interface for managing API keys and model-specific settings for various AI providers.
- Remote Agent Daemons - Runs long-term AI coding sessions on cloud infrastructure to maintain progress across different devices.
- Collaborative Workspaces - Organizes shared research, versioned designs, and agent sessions into a single synchronized environment for teams.
- AI-Driven Development Workflows - Guides AI agents through a structured sequence of research, design drafting, and planned code implementation.
- Agentic Workspaces - Groups AI sessions, versioned design artifacts, and worktrees into a shared environment for collaborative team tasks.
- Agent Session Parallelization - Executes multiple coding sessions simultaneously across various worktrees and remote cloud workers to accelerate development.
- Daemonized Session Persistence - Uses remote and local daemons to maintain agent state and progress independently of the active user session.
- Coding Automation Tools - Turns external tickets and requirements into automated tasks that provision worktrees and execute code changes.
- Stateful Agent Hosting - Provides infrastructure for hosting long-running AI agents that maintain state independently of the user's device.
- Agentic Workspace Provisioning - Automatically provisions isolated worktrees and launches agent sessions based on requirements derived from tickets.
- Reasoning Traceability - Exposes thinking messages and tool calls for full visibility into high-level orchestration and granular agent logic.
- LLM Gateways - Provides a gateway to connect external AI model subscriptions and API keys to power autonomous agents.
- Parallel Coding Sessions - Runs multiple AI coding sessions simultaneously using local or cloud daemons to accelerate feature delivery.
- External Task Synchronization - Imports task descriptions and requirements directly from external project management tools and issue trackers.
- AI-Guided Technical Design - Enables refining technical plans and design artifacts through real-time inline comments that guide AI agent execution.
- Task-Linked Artifact Versioning - Maintains versioned, shareable research and designs tied directly to specific agent-driven tasks.
- Hybrid Execution Bridges - Distributes agent workloads across a hybrid of local machines and cloud processing workers.
- Design Artifact Versioning - Links versioned research documents and design plans to specific tasks for consistent team context retrieval.
- AI and Agent Observability - Displays the full reasoning process of agents, including subagent tool calls and real-time execution topology.
- Reasoning Audit Logs - Captures thinking messages and granular tool calls to provide a transparent audit trail of agent reasoning.
- Agent-Driven Design Collaboration - Enables real-time co-editing of design documents using inline comments that guide AI agent execution.
- Agentic Development Frameworks - Framework for integrating human-in-the-loop oversight into agentic workflows.
- Agentic Tooling - Human-in-the-loop oversight for automated agentic processes.
- Coding Agents - Tool for managing AI agents in complex codebases.
