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 ā Architect ā Engineer ā 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(nĀ²) 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 ā trend analysis ā synthesis) and multi-stage content or software pipelines (research ā outline ā draft ā 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.
