MetaGPT vs multica
MetaGPT: MetaGPT is a multi-agent framework that assigns different roles to LLMs, enabling them to collaborate on complex software development tasks. It takes a one-line requirement and outputs comprehensive project artifacts, mimicking a software company's entire process.; multica: Multica is a source-available workspace where AI coding agents work like teammates: you assign an issue, the agent picks it up on a machine you control, comments as it goes, and hands the result back for review. It drives agent CLIs you already have, such as Claude Code, Codex, Cursor and Copilot, rather than shipping its own model, and can be self-hosted with Docker Compose or Helm.
TL;DR
- You want to experiment with or demonstrate the 'software company SOP' multi-agent pattern (PM, architect, engineer generating specs and code).
- You are looking for the reference implementation of research papers from the team such as AFlow, SPO, and AOT.
- You want an actively updated general-purpose production agent framework; the repository's last push was in January 2026.
- You are on Python 3.12+ or do not want to install Node.js and pnpm alongside Python (README specifies Python 3.9–3.11).
- You want to treat existing coding agents (Claude Code, Codex, Cursor) as team members, assigning issues and receiving progress updates.
- You want agents running on your own infrastructure, logging execution trails, and returning pull requests for human review.
- You only need single-developer local IDE chat and code completions without an issue ticketing workspace.
- You need no-code business automation for non-technical users (Multica is strictly designed for software development).
Side-by-Side Comparison
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