MetaGPT
★ 71.0k
vs
piyaz
★ 196
MetaGPT vs piyaz
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.; piyaz: Piyaz is an agentic workspace where people and AI agents collaborate on projects, offering project management, agent coordination, and a shared context network. It solves the problem of agents lacking memory by creating tasks, planning implementations, and tracking progress, ensuring agents always have the right context for their work.
01
TL;DR
MetaGPTMulti-Agent · ★ 71.0k
When to choose:
- 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.
When to skip:
- 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).
piyazMulti-Agent · ★ 196
Kickstarting new projects by brainstorming ideas and decomposing them into a structured task graph.
02
Side-by-Side Comparison
Field
MetaGPTpiyazCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 196
License
MIT
AGPL-3.0
Install Command
pip install --upgrade metagpt
git clone [email protected]:FrkAk/piyaz.git && cd piyaz && bun install --production && cp .env.local.example .env.local && bun run db:setup && bun run build && bun run start
Updated
9mo ago
1w ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
AI Agents, Project Management, Context Management
03
Features
MetaGPT01Accepts single-line requirements and generates comprehensive software artifacts (e.g., user stories, APIs, documentation).
02Emulates a software company by assigning distinct roles (e.g., PM, Architect, Engineer) to LLM agents.
03Orchestrates collaborative processes using Standard Operating Procedures (SOPs) for complex task completion.
04Supports integration with various Large Language Models and APIs (e.g., OpenAI, Azure, Ollama, Groq).
05Enables advanced capabilities like data interpretation and automated workflow generation.
piyaz01Living context network that maps project knowledge, decisions, and code relationships.
02Specialized context retrieval interface with four distinct shapes for different agent tasks (summary, working, planning, agent).
03Manages the full project lifecycle: Brainstorm > Decompose > Refine > Plan > Execute > Track.
04End-to-end task orchestration (Composer) that dispatches subagents for research, planning, implementation, and review.
05Interactive web UI with Structure and Graph modes for task management and visualizing the context network.
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
piyaz↳Kickstarting new projects by brainstorming ideas and decomposing them into a structured task graph.
↳Onboarding existing codebases by reverse-engineering a task graph from code and Git history.
↳Seamlessly continuing ongoing projects with agents picking up tasks with appropriate context.
↳Driving specific tasks from research to pull request and merge using the Composer (Claude Code only).
↳Refining project scope and task details mid-flow or performing strategic reviews of the task graph.
05
Best For
MetaGPTMost PopularEssential
piyaz—
FAQ
FAQ
What is the difference between MetaGPT and piyaz?
Both MetaGPT and piyaz are in the Multi-Agent category. MetaGPT has 71.0k stars, while piyaz has 196 stars.
Which is better, MetaGPT or piyaz?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and piyaz if Kickstarting new projects by brainstorming ideas and decomposing them into a structured task graph..
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is piyaz free or open source?
Yes, piyaz is open source on GitHub (AGPL-3.0).
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