agent-framework vs Hexis
agent-framework: Microsoft Agent Framework is a comprehensive multi-language framework for building, orchestrating, and deploying AI agents. It supports both .NET and Python, offering features from simple chat agents to complex multi-agent workflows with graph-based orchestration.; Hexis: Hexis is an open-source, Git-backed control plane for managing AI agent skills, tools, context, permissions, and identity. It provides a centralized, self-hosted platform for teams to collaborate on and deploy AI plugins and knowledge bases with fine-grained access control and an audit trail.
TL;DR
- You are starting a new Microsoft-ecosystem agent project in Python or .NET and want the official successor to AutoGen.
- You need built-in workflow checkpointing, middleware, OpenTelemetry tracing, declarative YAML agents, and a DevUI under MIT.
- You only need a small, single-file Python agent without a multi-package framework; Pydantic AI is lighter.
- You rely on Chinese LLM providers and realtime voice pipelines out of the box; AgentScope has dedicated support for those.
Centralized management and distribution of AI agent skills, tools, and company knowledge within an enterprise.
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