AI agent orchestration for developers with real repositories
Junction is the control plane for coordinating multiple AI coding agents without losing track of machines, branches, approvals, or finished pull requests.
Best for
Developers and small teams running multiple agent tasks at once.
Why Junction
Orchestration is not just launching agents. It is keeping work reviewable, routed to the right machine, and visible until it lands.
What it means
Junction is the local-first control plane for AI coding agents.
Coordinate the whole run lifecycle
A reliable orchestration layer tracks more than prompts. It keeps launch, output, approvals, branch state, review, and completion in one place.
Route work to the right environment
Some repositories only work on specific machines because of credentials, databases, or hardware. Junction lets teams connect those machines instead of flattening everything into one sandbox.
Keep parallel work reviewable
Multiple agents are only useful when their output stays inspectable. Junction keeps each run attached to its branch, machine, and conversation context.
Field notes
Related Junction guides
How to Manage Multiple AI Coding Agents Across Machines
Learn the workflow for routing AI agent work across a laptop, workstation, and VPS without losing track of approvals, diffs, or status.
MCP Server for AI Agent Orchestration
Learn how Junction's built-in MCP server lets local agents create, prompt, and inspect other agent runs without moving code.
Use Branch Suggestions to Keep Agent Runs Reviewable
Keep Claude Code and Codex work reviewable by starting each local agent run on the right branch, worktree, and pull request path.
Get started
Keep agent work visible from anywhere.
Install the daemon where your projects already run, connect Junction, and use one browser workspace for active AI coding agents.