Agentscope
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Overview
HEALTH SCORE
Fair
56out of 100
Maintainer coverage drags the score down. Development cadence and security posture help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(56/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
No PRs or issues were opened in the review window, so response time could not be measured.
Bus factor
No data available. Repository has not been indexed for bus factor.
Organization Diversity
Contributors span 172 organizations.
Project Achievements
Leaderboards
About
AgentScope is a development framework for building multi-agent applications, providing tools and infrastructure for creating, testing, and deploying AI agent systems. It offers features like agent interaction management, conversation handling, and integration with various language models.
First commit
Software value
$4.1M
Tags
agent
chatbot
large-language-models
llm
llm-agent
mcp
multi-agent
multi-modal
react-agent
License(s)
Apache-2.0
Data sources
Git
GitHub