DELIGHT: Local Orchestrator Uses Multiple ChatGPT Sessions as Coordinated Agents

DELIGHT is a local orchestrator that runs multiple hidden ChatGPT browser sessions simultaneously and coordinates them like a team of agents. It operates without API keys or GPU requirements, running on standard PCs or servers.

How It Works

The system opens multiple hidden browser tabs with ChatGPT guest sessions, all tied to a single project. It assigns specific roles to different sessions:

• One searches for information
• One writes code
• One catches errors
• One summarizes results

These sessions exchange answers with each other using a consensus-based approach rather than relying on a single LLM making guesses alone. The orchestrator applies changes to real files, runs tests and linters, and feeds errors back to a debug chat session.

Technical Implementation

Everything streams through a single event protocol with events including:

• TASK_STARTED
• TEST_FAILED
• CONSENSUS_UPDATE

The system connects to OpenClaw as the action layer, enabling it to perform actual operations on your machine.

Financial Impact

Running 30 parallel sessions provides the equivalent of $1,000–2,000/month worth of GPT-4o API usage at zero cost. No GPU is required, and it works on any server or home PC.

Planned Features

• MCP server generation on demand
• External worker nodes (allowing other PCs to join as agents)
• Separate protocol LLM for internet/network layer

This type of local orchestration approach is particularly useful for developers who want to leverage multiple AI agents without incurring API costs or requiring specialized hardware. By coordinating multiple free ChatGPT sessions, it creates a distributed reasoning system that can handle complex development tasks.