Tool overview
AgentScope is listed under AI Infrastructure & MLOps AI tools.
What is AgentScope?
AgentScope 2.0 is an Apache-2.0 Python framework for building observable agents with tools, memory, RAG, middleware, permissions, sandboxes, agent teams, service deployment, and a Web UI. Its ecosystem also includes Java and TypeScript projects.
Best for
Engineering teams needing observable and sandboxed production agents
Who is it for?
Decision note
Accepted for Preview after independent V411 official-source research. Apply only after failures = 0, warnings = 0, unmapped = 0, and review of controlled fields, Arabic v2 parity, outreach, affiliate status, logo QA, rebrand handling, and explicit clears.
Key features
Observable event-based agent runtime
Tool permissions and middleware
Memory and RAG components
Local and remote sandbox options
Agent teams and service deployment
Use cases
Building production AI agents
Running sandboxed tool workflows
Adding memory and retrieval
Operating multi-agent teams
Serving agents through Web UI
Pros
- Apache-2.0 open-source framework
- Strong observability and sandbox choices
- Supports service-oriented deployment
Limitations
AgentScope applications can call external tools and process sensitive context. Deployers should configure permissions, isolate sandboxes, protect model credentials, test memory retention, monitor actions, and require review for high-impact tasks.
Pricing details
Billing options
Pricing note
AgentScope software is free under Apache-2.0. Users pay separately for model providers, sandbox services, compute, storage, and production hosting. No distinct commercial trial applies to the open-source framework.
Supported languages
- English
Integrations
OpenAI
Anthropic
DashScope
FastAPI
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