AgentIndex icon
AgentIndex
Microsoft AutoGen logo
Microsoft AutoGen
★ 61.5k
vs
openmake_llm logo
openmake_llm
★ 43

Microsoft AutoGen vs openmake_llm

Microsoft AutoGen: AutoGen is a versatile framework for developing multi-agent AI applications that can operate autonomously or in collaboration with humans. It offers a layered, extensible design, including Core and AgentChat APIs, along with developer tools like AutoGen Studio for no-code GUI development and AutoGen Bench for performance evaluation.; openmake_llm: OpenMake LLM is an open-source, local-first, self-hosted AI workspace that provides vLLM/LiteLLM inference for open-weight and BYOK models. It features autonomous AI agents, deep research capabilities, and a Model Context Protocol (MCP) tool system, all behind JWT auth and role-based access control.

01

TL;DR

Microsoft AutoGen logo
Microsoft AutoGenMulti-Agent · ★ 61.5k
When to choose:
  • You maintain an existing AutoGen v0.2 or v0.4 system, or want to run research artefacts built on it such as Magentic-One and AutoGen Bench.
  • You want to reference its layered event-driven architecture while planning a migration to Microsoft Agent Framework.
When to skip:
  • You are starting a brand-new project; Microsoft states AutoGen is in maintenance mode with no new features and recommends Microsoft Agent Framework.
  • You expect AutoGen Studio to be a turnkey production web app (the README notes Studio is for prototyping only).
Read Microsoft AutoGen full review →
openmake_llm logo
openmake_llmMulti-Agent · ★ 43

Hosting a personal, secure, and self-hosted AI assistant.

Read openmake_llm full review →
02

Side-by-Side Comparison

Field
Microsoft AutoGen logoMicrosoft AutoGen
openmake_llm logoopenmake_llm
Category
Multi-Agent
Multi-Agent
Stars
★ 61.5k
★ 43
License
MIT
MIT
Install Command
pip install -U "autogen-agentchat" "autogen-ext[openai]"
git clone https://github.com/openmake/openmake_llm.git && cd openmake_llm && npm install
Updated
1w ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Multi-Agent AI, AI Framework, Python
Self-hosted AI, LLM Inference, Autonomous Agents
03

Features

Microsoft AutoGen logoMicrosoft AutoGen
01Framework for multi-agent AI applications
02Supports autonomous or human-collaborative agents
03Layered and extensible design (Core, AgentChat, Extensions APIs)
04No-code GUI for workflow prototyping (AutoGen Studio)
05Benchmarking suite for agent performance (AutoGen Bench)
openmake_llm logoopenmake_llm
01Role-based Model Orchestration
02Autonomous Agent Tasks with Docker Sandboxes
03Deep Research Pipeline
04Modular Context Protocol (MCP) Tool System
05Multilingual User Interface
04

Use Cases

Microsoft AutoGen logoMicrosoft AutoGen
↳Developing multi-agent AI applications
↳Building specialized AI assistants (e.g., web browsing, domain experts)
↳Prototyping multi-agent workflows using a no-code GUI
openmake_llm logoopenmake_llm
↳Hosting a personal, secure, and self-hosted AI assistant.
↳Automating complex multi-step tasks with autonomous agents.
↳Conducting in-depth, cited research and report generation.
↳Unifying multiple LLM providers and tools into a single workspace.
↳Developing and deploying custom AI agents and skills.
05

Best For

Microsoft AutoGen logoMicrosoft AutoGen
Most PopularEssentialTrending
openmake_llm logoopenmake_llm
—
FAQ

FAQ

What is the difference between Microsoft AutoGen and openmake_llm?
Both Microsoft AutoGen and openmake_llm are in the Multi-Agent category. Microsoft AutoGen has 61.5k stars, while openmake_llm has 43 stars.
Which is better, Microsoft AutoGen or openmake_llm?
The best choice depends on your use case. Choose Microsoft AutoGen if Developing multi-agent AI applications, and openmake_llm if Hosting a personal, secure, and self-hosted AI assistant..
Is Microsoft AutoGen free or open source?
Yes, Microsoft AutoGen is open source on GitHub (MIT).
Is openmake_llm free or open source?
Yes, openmake_llm is open source on GitHub (MIT).
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