MetaGPT
★ 71.0k
vs
agentweave
★ 42
MetaGPT vs agentweave
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.; agentweave: AgentWeave provides pre-inference tool routing and a policy-aware function-calling and execution boundary for large language models and multi-agent systems. It significantly reduces the number of tools an LLM needs to consider before making a function call, leading to improved efficiency and reduced token usage.
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).
agentweaveMulti-Agent · ★ 42
Managing large heterogeneous tool catalogs for LLMs or agents.
02
Side-by-Side Comparison
Field
MetaGPTagentweaveCategory
Multi-Agent
Multi-Agent
Stars
★ 71.0k
★ 42
License
MIT
Apache-2.0
Install Command
pip install --upgrade metagpt
python -m pip install agentweave-router
Updated
9mo ago
3w ago
Open Source
Yes
Yes
Tags
Multi-Agent System, Large Language Models, Software Development
LLM Tool Routing, Multi-Agent Orchestration, Function Calling
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.
agentweave01Pre-inference tool routing: Reduces the set of tools the model has to reason over before inference.
02Policy-aware execution boundary: Enforces deterministic scope, schema validation, and authorization after tool selection.
03Provider-neutral integration: Works with MCP, LangGraph, AutoGen, A2A, and custom tool catalogs.
04Improved efficiency: Achieves 70.18% fewer tools exposed and 61.70% fewer input tokens compared to baselines.
05Robust runtime controls: Includes argument validation, replay/idempotency guard, and secure HTTP transport.
04
Use Cases
MetaGPT↳Data Interpreter
↳Debate
↳Researcher
agentweave↳Managing large heterogeneous tool catalogs for LLMs or agents.
↳Enterprise capability catalogs where role, tenant, and policy constraints are paramount.
↳Multi-agent specialist pools and A2A ecosystems requiring efficient tool selection.
↳Integrating with existing agent frameworks like LangGraph and AutoGen for enhanced tool management.
↳Cloud agents and edge runtimes where precise control over tool access and execution is needed.
05
Best For
MetaGPTMost PopularEssential
agentweave—
FAQ
FAQ
What is the difference between MetaGPT and agentweave?
Both MetaGPT and agentweave are in the Multi-Agent category. MetaGPT has 71.0k stars, while agentweave has 42 stars.
Which is better, MetaGPT or agentweave?
The best choice depends on your use case. Choose MetaGPT if Data Interpreter, and agentweave if Managing large heterogeneous tool catalogs for LLMs or agents..
Is MetaGPT free or open source?
Yes, MetaGPT is open source on GitHub (MIT).
Is agentweave free or open source?
Yes, agentweave is open source on GitHub (Apache-2.0).
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