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Multi-Agent · Parallel Execution · Context Cache

Helix

Parallel, observable, long-running AI coding workflows
for real software teams.

helix · multi-agent workspace
Helix multi-agent workspace showing parallel task execution

See Helix in action

Real screenshots from the desktop and mobile apps.

Why Helix exists

Current AI coding tools share the same fundamental bottlenecks.

⛓️

Most assistants are serial

One long thread slows everything down. Research, edits, and validation fight for the same context window.

🕳️

Most assistants are black boxes

You cannot see what parallel tasks are doing or where they are blocked, so trust drops in complex work.

🧹

Most assistants forget too early

Long sessions get expensive and unstable. Teams restart often, losing execution momentum.

What makes Helix different

Built for teams running real engineering workflows, not just one-off chat completions.

🧠

Three-layer Multi-Agent architecture

Manager Agent keeps user intent intact, Execution Agent drives progress, and SubAgents handle deep subtasks.

Concurrent agent scheduling

Tool calls and SubAgent tasks run in parallel so multi-module investigations finish faster than serial chat loops.

👁️

SubAgent UI with parallel visibility

See active sub tasks, status, and outcomes while the main conversation continues. Parallel work is visible, not hidden.

📦

Cache + Compact context management

Large tool outputs are cached and recalled on demand, while long history is compacted to keep long sessions stable.

🌐

Multi-remote workspace management

Work across local projects, remote hosts, and cloud containers with workspace-level isolation and consistent workflows.

🔧

LSP + Tools + Skills in one loop

Code intelligence, terminal, Git, MCP tools, and skills all stay inside one execution flow from analysis to delivery.

Build with an agent that can actually run engineering workflows

Start with the quick guide, or jump directly into the web app.