agentscope and agent-examples

AgentScope is a comprehensive agent framework with visualization and debugging capabilities, while agent-examples is merely a collection of sample implementations for the Kagenti platform—they serve different purposes (general-purpose agent development vs. platform-specific reference code) and are not direct competitors or complements.

agentscope
74
Verified
agent-examples
49
Emerging
Maintenance 17/25
Adoption 13/25
Maturity 25/25
Community 19/25
Maintenance 10/25
Adoption 4/25
Maturity 15/25
Community 20/25
Stars: 18,063
Forks: 1,606
Downloads:
Commits (30d): 19
Language: Python
License: Apache-2.0
Stars: 7
Forks: 29
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No Package No Dependents

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-examples

kagenti/agent-examples

Sample Agents and Tools for Kagenti platform

This repository provides examples of AI agents and tools that can automate various tasks by interacting with other agents and systems. It shows how different AI components can work together to process information and make decisions. This is useful for anyone looking to build or integrate intelligent automation into their workflows.

AI-automation multi-agent-systems intelligent-workflows decision-automation system-integration

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