hong-et-al-2024-metagpt

What problem does it solve?

Prevents cascading hallucinations, context dilution, and coordination thrashing in multi-agent LLM systems by prescribing structured communication, role specialization, and SOP-driven handoffs so agents exchange verifiable artifacts instead of free-form dialogue.

Core Features & Use Cases

• Structured Communication: Define schemas and templates (PRDs, design docs, JSON artifacts) that each agent must produce and validate at handoffs.
• Role Specialization & SOPs: Encode human standard operating procedures into distinct agent roles (PM → Architect → Engineer → QA) with clear inputs, outputs, and success criteria.
• Publish-Subscribe Messaging: Use a shared message pool and typed subscriptions to decouple agents and reduce O(n²) message complexity.
• Executable Feedback Loops: Automatically run code, tests, and API calls to provide concrete failure signals for iterative repair and recovery.
• Quality Gates & Failure Recovery: Schema validation, binary success criteria, and message-based correction enable recovery from zombie agents and unsupported claims.
• Use Cases: Large-scale literature analysis (paper summarization → trend analysis → synthesis) and multi-stage content or software pipelines (research → outline → draft → test).

Quick Start

Activate hong-et-al-2024-metagpt to convert an unstructured multi-agent workflow into a role-based SOP with schema-validated handoffs, pub-sub messaging, and executable feedback.