GraphCode

Open Source

• Updated Aug 11, 2026, 03:06 AM

GraphCode is a macOS application that provides a graph-based interface for orchestrating multiple AI coding agent sessions.

Use Cases ▼

Automating multi-step code generation with agent collaboration

Monitoring and intervening in agent sessions in real-time

Orchestrating complex development tasks across Claude Code and Copilot CLI

Setting up autonomous coding pipelines that run overnight

Debugging agent workflows by attaching to nodes mid-execution

Coordinating hand-offs between specialized AI coding agents

What Problem It Solves ▼

Managing multiple AI coding agents simultaneously is challenging due to the lack of coordination, context passing, and real-time oversight. GraphCode solves this by providing a visual graph where developers can wire agent sessions, attach to live terminals, and automate hand-offs, enabling persistent, long-running, multi-agent coding workflows without constant manual intervention.

Key Features ▼

✓

Visual graph interface simplifies agent workflow management

✓

Real-time terminal attachment for debugging

✓

Supports hand-offs and spawns for autonomous operation

✓

Integrates with popular AI coding tools like Claude Code and Copilot CLI

✓

Open source and free to use

Overview

GraphCode is a macOS application that provides a graph-based interface for orchestrating multiple AI coding agent sessions. Each node in the graph represents a live terminal session that developers can attach to mid-execution, allowing real-time monitoring and intervention. Edges represent hand-offs, messages, or spawn events that trigger automatically, enabling workflows that continue even when the developer is away. By wiring together agents like Claude Code and GitHub Copilot CLI, GraphCode simplifies complex, multi-step development tasks through a visual, node-based pipeline. The tool is designed for autonomous coding workflows, where agents collaborate, pass context, and spawn sub-tasks without manual supervision. It is an open-source project aimed at developers who want to coordinate AI-driven coding sessions with greater control and visibility.

Pros & Cons

Pros

Visual graph interface simplifies agent workflow management

Real-time terminal attachment for debugging

Supports hand-offs and spawns for autonomous operation

Integrates with popular AI coding tools like Claude Code and Copilot CLI

Open source and free to use

Cons

−

Limited to macOS

−

Early stage, possibly unstable

−

Requires technical setup

−

Fewer integrations compared to cloud orchestrators

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Documentation may be sparse

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