agent-framework
★ 14.3k
vs
hera
★ 947
agent-framework vs hera
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.; hera: Hera is a Python SDK designed to simplify and make intuitive the use of Argo Workflows, allowing users to easily transform Python functions into containerized templates. It enables efficient workflow orchestration on Kubernetes, leveraging the full power of Argo Workflows.
01
TL;DR
agent-frameworkMulti-Agent · ★ 14.3k
When to choose:
- 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.
When to skip:
- 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.
heraMemory & Context · ★ 947
Orchestrating complex data pipelines and ML workflows on Kubernetes
02
Side-by-Side Comparison
Field
Category
Multi-Agent
Memory & Context
Stars
★ 14.3k
★ 947
License
MIT
Apache-2.0
Install Command
pip install agent-framework
pip install hera
Updated
1d ago
2d ago
Open Source
Yes
Yes
Tags
AI Agents, Multi-agent systems, Workflow orchestration
Python SDK, Argo Workflows, Kubernetes
03
Features
01Graph-based Workflows with streaming, checkpointing, human-in-the-loop, and time-travel capabilities.
02AF Labs for experimental features including benchmarking, reinforcement learning, and research initiatives.
03Interactive DevUI for agent development, testing, and debugging workflows.
04Full framework support for both Python and C#/.NET with consistent APIs.
05Built-in OpenTelemetry integration for distributed tracing, monitoring, and debugging.
01Python SDK for Argo Workflows
02Transform Python functions into containerized templates
03Define workflow orchestration logic in Python
04Full access to Argo Workflows capabilities on Kubernetes
05Supports GitOps practices with YAML output and CLI tools
04
Use Cases
↳Developing simple chat agents.
↳Building complex multi-agent workflows.
↳Orchestrating AI agents using graph-based methodologies.
↳Orchestrating complex data pipelines and ML workflows on Kubernetes
↳Automating the deployment of data workloads
↳Scaling data science projects and research requiring workflow automation
05
Best For
Most PopularEssentialTrending
Hidden Gem
FAQ
FAQ
What is the difference between agent-framework and hera?
Both agent-framework and hera are in the Multi-Agent category. agent-framework has 14.3k stars, while hera has 947 stars.
Which is better, agent-framework or hera?
The best choice depends on your use case. Choose agent-framework if Developing simple chat agents., and hera if Orchestrating complex data pipelines and ML workflows on Kubernetes.
Is agent-framework free or open source?
Yes, agent-framework is open source on GitHub (MIT).
Is hera free or open source?
Yes, hera is open source on GitHub (Apache-2.0).
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