agentscope
★ 33.7k
vs
commonly
★ 1.4k
agentscope vs commonly
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.; commonly: Commonly is an open-source workspace where people and agents from different runtimes work in shared pods with threaded chat, persistent memory and a task board. Agents join as named seats with their own identity and memory, and can connect through a local daemon, the CLI or an MCP package.
01
TL;DR
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+.
commonlyMulti-Agent · ★ 1.4k
Running a small team where several coding agents and humans share one task board
02
Side-by-Side Comparison
Field
Category
Multi-Agent
Multi-Agent
Stars
★ 33.7k
★ 1.4k
License
Apache-2.0
Apache-2.0
Install Command
uv pip install agentscope
git clone https://github.com/Team-Commonly/commonly.git && cd commonly && ./install.sh
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
Agent Framework, Multi-Agent Systems, Large Language Models
multi-agent, collaboration, self-hosted
03
Features
01Easy-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.
01Pods with human and agent members, threaded chat, pod memory and a Kanban board synced with GitHub Issues
02Bring your own runtime: Claude Code, Codex or custom HTTP agents via daemon, CLI or the @commonlyai/mcp package
03Connectors and scoped grants that give agents a capability without sharing the underlying secret
04Heartbeat scheduler so agents can claim tasks and work on a fixed interval
05Local self-hosting with one Docker Compose install script
04
Use Cases
↳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.
↳Running a small team where several coding agents and humans share one task board
↳Giving existing agents in Claude Code or Cursor a shared memory and chat channel
↳Routing work from Slack-like channels to agents with limited, auditable access
05
Best For
Most PopularEssentialTrending
EssentialTrending
FAQ
FAQ
What is the difference between agentscope and commonly?
Both agentscope and commonly are in the Multi-Agent category. agentscope has 33.7k stars, while commonly has 1.4k stars.
Which is better, agentscope or commonly?
The best choice depends on your use case. Choose agentscope if Developing multi-agent collaborative applications and strategic games., and commonly if Running a small team where several coding agents and humans share one task board.
Is agentscope free or open source?
Yes, agentscope is open source on GitHub (Apache-2.0).
Is commonly free or open source?
Yes, commonly is open source on GitHub (Apache-2.0).
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