#131 · Primary category: LLM Application Frameworks

agentscope-runtime

a2a agent agentscope agno deployment docker kubernetes langgraph mcp modelstudio runtime sandbox serverless

A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observability, and broad framework compatibility.

Project last updated:06/04/26

GitHub Stars

861

Forks

167

Contributors

37

License

Apache-2.0

Why we included this project

AgentScope Runtime addresses the gap teams hit once an agent prototype outgrows a notebook: running tool calls safely and exposing the agent as an actual service. Tool execution goes through a hardened sandbox, so the Python, shell, browser, and filesystem operations an LLM invokes run in an isolated environment rather than with full host privileges, and an Agent-as-a-Service layer streams responses over SSE. Deployment is handled by a DeployManager that works locally, on Kubernetes, or serverless, and logs and traces give you visibility into what agents actually do in production. The honest caveat is that the repo is now archived and read-only, since these capabilities moved into AgentScope 2.0, so anyone starting fresh should build on that project. Still, teams studying how a production agent runtime is structured, or those staying on the standalone package, will find the design decisions worth reading.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category