ToolProduction Ready

MetaGPT

Name: MetaGPT
Rating: 5.0 (64136 reviews)
Author: FoundationAgents

by FoundationAgents

Role-driven multi-agent orchestration and workflow templates

Python

Updated Jan 21, 2026

64.1k

Stars

8.1k

Forks

View on GitHub

Overview

Orchestrates multi-agent workflows where specialized agents collaborate on complex tasks. Uses a role-based, natural-language programming model to spawn, coordinate, and chain agents with clear task boundaries and message passing. Notable for its pragmatic templates and orchestration primitives that let teams prototype multi-step agent pipelines quickly, leveraging the Hierarchical Multi-Agent Pattern to structure responsibilities and the Planning Pattern to map tasks to concrete actions.

The Value Proposition

As agents delegate subtasks, understanding who did what and why becomes crucial for trust and reliability. MetaGPT makes agent interactions explicit and structured, which helps surface failure modes and attribution when evaluating agent behavior. By providing repeatable orchestration patterns, it supports pre-production testing and continual assessment of agent track record. Emphasizing Human-in-the-Loop design helps teams retain oversight and control.

Best For

Teams prototyping or deploying multi-agent pipelines that need clear task delegation, reproducible workflows, and rapid iteration. See how the Model Context Protocol (MCP) Pattern guides context sharing and coordination across agents.

Applications

Prototype multi-step agent pipelines with role-based delegation and handoffs
Reproduce and inspect agent interactions to diagnose failure modes
Run pre-production scenarios to compare agent strategies and track agent performance over time

Test in the Playground

Validate against scenarios