agentscope and agent-runtimes

AgentScope provides a complete framework for building and executing multi-agent systems with transparency and control, while Agent Runtimes offers a lightweight protocol abstraction layer for exposing pre-built agents—making them complements that could be used together, with AgentScope handling agent development and Agent Runtimes handling their deployment interfaces.

agentscope
74
Verified
agent-runtimes
50
Established
Maintenance 17/25
Adoption 13/25
Maturity 25/25
Community 19/25
Maintenance 10/25
Adoption 5/25
Maturity 22/25
Community 13/25
Stars: 18,063
Forks: 1,606
Downloads:
Commits (30d): 19
Language: Python
License: Apache-2.0
Stars: 10
Forks: 2
Downloads:
Commits (30d): 0
Language: TypeScript
License:
No risk flags
No risk flags

About agentscope

agentscope-ai/agentscope

Build and run agents you can see, understand and trust.

AgentScope helps developers build and deploy AI agents that can reason, use tools, and interact with humans or other agents. You provide instructions for how the agents should behave, and the framework helps them process information, make decisions, and complete tasks. This is for software developers, AI engineers, and researchers who want to create complex AI systems.

AI development agentic systems multi-agent orchestration AI deployment large language models

About agent-runtimes

datalayer/agent-runtimes

🤖 🚀 Agent Runtimes - Expose AI Agents through multiple protocols.

This project helps software developers easily deploy, manage, and interact with AI agents across various platforms and applications. It takes your existing AI agent code and allows you to expose it through different communication protocols and user interfaces. Developers building web applications, desktop tools, or internal systems would use this to integrate AI agents.

AI deployment software development application integration AI agents API development

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