Open sourcePython · ≈71k stars · MIT
MetaGPT
Assign a software company, get a program.
MetaGPT encodes Standard Operating Procedures into multi-agent roles (PM, architect, engineer) — the influential 'software company as a multi-agent system' experiment from 2023.
Pros & cons
Each point cites its sources and says what kind of evidence backs it. A second reviewer tried to refute every claim before it was kept.
Pros
- DocsEncodes a 'software company' SOP: product manager, architect, project manager and engineer roles turn a one-line requirement into stories, designs and code.[1]
- DocsResearch credibility: the team's AFlow paper was accepted as an ICLR 2025 oral (top 1.8%).[1]
- MetadataMIT licensed, about 71k stars, and only 7 open issues.[1]
Cons
- MetadataEffectively dormant: the last tagged release is v0.8.1 (April 2024), the last push was January 2026, and recent README news is about the commercial MGX product.[1]
- User reportsOne builder started on MetaGPT, found its APIs too unstable, and switched to AutoGen.[1]
- Independent testIn 2023 tests, the snake-game demo cost about $0.53 in tokens, and a tester said that on the paper's own examples the framework 'adds bloat' compared with prompting ChatGPT directly.[1][2]
- DocsRequires Python 3.9 to 3.11 (below 3.12) plus Node and pnpm.[1]
- Best for
- Researchers studying SOP-driven multi-agent software generation, or reproducing MetaGPT and AFlow work.
- Watch out for
- Do not build new production systems on it; framework development has stalled while the team focuses on MGX.
Assessed Oct 29, 2026 · adversarially reviewedSuggest a correction
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Connections
Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.