agent-teams-ai
★ 2.3k
vs
agentscope
★ 33.7k
agent-teams-ai vs agentscope
agent-teams-ai: Agent Teams is a free desktop application designed for managing AI agent teams. You act as the boss, overseeing agents that autonomously handle tasks, communicate, and review each other, all visualized on a kanban board.; agentscope: AgentScope is a production-ready, easy-to-use agent framework designed for increasingly agentic LLMs. It offers essential abstractions, built-in support for finetuning, and flexible multi-agent orchestration for various deployment environments.
01
TL;DR
agent-teams-aiMulti-Agent · ★ 2.3k
Automated software development and debugging
agentscopeMulti-Agent · ★ 33.7k
When to choose:
- You want composable Python 3.11+ building blocks (ReAct loop, toolkit, pipelines, A2A, realtime voice) with bilingual documentation.
- You use Chinese model providers (DashScope, DeepSeek, Volcengine) alongside global APIs under an Apache-2.0 license.
When to skip:
- You rely on v1.x AgentScope code and do not want to migrate to the redesigned v2.0 architecture.
- You need Python 3.10 or .NET support; AgentScope 2.0 requires Python 3.11+.
02
Side-by-Side Comparison
Field
agent-teams-aiagentscopeCategory
Multi-Agent
Multi-Agent
Stars
★ 2.3k
★ 33.7k
License
AGPL-3.0
Apache-2.0
Install Command
git clone https://github.com/777genius/agent-teams-ai.git && cd agent-teams-ai && pnpm install
uv pip install agentscope
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
Multi-Agent Systems, AI Workflow, Task Orchestration
Agent Framework, Multi-Agent Systems, Large Language Models
03
Features
agent-teams-ai01Multi-model orchestration (Claude, Codex, OpenCode)
02Agent-to-agent communication and cross-team collaboration
03Kanban board for real-time task management and progress tracking
04Hunk-level code review and approval workflow
05Flexible autonomy with per-action approvals and notifications
agentscope01Easy-to-use with built-in ReAct agents, tools, and human-in-the-loop steering.
02Extensible with broad ecosystem integrations, MCP, and A2A protocol support.
03Production-ready for local, serverless, or Kubernetes deployments with OTel support.
04Voice-enabled agents capable of speech understanding and response.
05Seamless integration with Reinforcement Learning for agent tuning.
04
Use Cases
agent-teams-ai↳Automated software development and debugging
↳AI-powered project management and task delegation
↳Collaborative problem-solving by AI teams
↳AI-driven code review and quality assurance
↳Rapid prototyping and iteration with AI assistants
agentscope↳Developing multi-agent collaborative applications and strategic games.
↳Building agents with advanced tool-use capabilities and multi-step reasoning.
↳Tuning agent performance using Reinforcement Learning for continuous improvement.
05
Best For
agent-teams-aiEssentialTrending
agentscopeMost PopularEssentialTrending
FAQ
FAQ
What is the difference between agent-teams-ai and agentscope?
Both agent-teams-ai and agentscope are in the Multi-Agent category. agent-teams-ai has 2.3k stars, while agentscope has 33.7k stars.
Which is better, agent-teams-ai or agentscope?
The best choice depends on your use case. Choose agent-teams-ai if Automated software development and debugging, and agentscope if Developing multi-agent collaborative applications and strategic games..
Is agent-teams-ai free or open source?
Yes, agent-teams-ai is open source on GitHub (AGPL-3.0).
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
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