AgentScope
DomesticFreeAgent Workflow
Multi-agent development, code-level orchestration, and tool invocation
Developer:Alibaba Cloud Computing Co., Ltd.
AgentScopeIntroduction
AgentScope is Alibaba's open-source multi-agent development framework focused on code-level orchestration, ideal for developers building custom complex multi-agent collaboration systems. It provides standardized capabilities for agent communication, message scheduling, tool invocation, and memory management. Developers define distinct role-based agents using Python, set interaction rules, and enable seamless coordination among multiple agents. Ideal for research experiments, complex business scenarios involving multiple roles, and simulation environments. Supports integration with Qwen and other mainstream large language models. Features a permissive open-source license, comprehensive Chinese documentation, and is widely adopted by universities and AI developers in China for multi-agent algorithm validation and prototype development. Offers exceptional flexibility and freedom, far exceeding low-code canvas platforms. Generated content is for reference only; verify critical details manually.
Key Features of AgentScope
Key Product Features
- 1Code-level Multi-Agent Orchestration Development Framework
- 2Agent-to-Agent messaging and scheduling management
- 3Unified tool invocation and memory module encapsulation
- 4Compatible with Qwen and other large language models
- 5Supports custom roles and interaction logic
- 6Multi-Agent Simulation and Task Coordination Experiment
- 7Open source, ready for deep customization
AgentScope Pricing Plans
Free Tier, Paid Plans, Billing Options, Private Deployment & Enterprise Pricing
- 1Free tier: Open-source and free to use; compute costs are your responsibility.
- 2Paid: Based on the open-source edition; commercial support available via custom negotiation.
- 3Billing: Open Source (Free)
- 4Private Deployment: Supports on-premises local deployment
AgentScope User Guide
Entry URL, Registration Requirements, Brief Operation Steps, and API / Client Support
Entry Point:doc.agentscope.io/en_US/
- 1Entry: https://doc.agentscope.io/zh_CN/
- 2Sign Up: Local development does not require a platform account.
- 3Steps: Install framework dependencies and configure the model API key.
- 4Define Roles and Tools with Python
- 5Set up interaction and scheduling rules
- 6Run Debug
- 7Expand to your own system on demand
AgentScopeParameter Overview
Information compiled from public sources; official information prevails.
- Is data used for training?
- Deploy locally, keep your data in control
- Underlying model
- Supports multiple large models; Qwen is selected by default.
- Context length
- Follow the access model
- Multi-modal support
- Text, extensible image document
- Search Online
- Integrate search tools via code
- File Parsing
- Custom code to parse various file types
- Enterprise Edition and Deployment
- No public information available
- Compliance Certification
- No public information available
- Domestic Availability
- No public information available
Field Description:Will my input be used for model training, and can I turn this off?
Field Description:Primary models supported by the product, or the range of switchable models
Field Description:The maximum context size per conversation determines the length of documents it can read.
Field Description:Supported input and output formats, including text, images, audio, video, and files
Field Description:Supports real-time web search and provides source links?
Field Description:Supports uploading files and parsing capabilities, such as PDFs, spreadsheets, and code.
Field Description:Does it offer an enterprise edition, on-premises deployment, and team permission management?
Field Description:Publicly disclosed security compliance certifications and generative AI service filing status
Field Description:Convenience of access and supported payment methods in mainland China