AI / LLM · PRO TIER

AutoGen Studiopro

AutoGen is Microsoft Research's framework for multi-agent LLM workflows — define agents with roles, let them converse to solve tasks. AutoGen Studio is the visual builder on top: design agent teams, orchestrate conversations, run experiments in a browser.

Install via WHMCS → Visit microsoft.github.io ↗

🤖 AI / LLM Min 2048 MB RAM Port 8082 (http) Tier pro

// What it is

A closer look.

AutoGen is Microsoft Research's framework for multi-agent LLM workflows — define agents with roles, let them converse to solve tasks. AutoGen Studio is the visual builder on top: design agent teams, orchestrate conversations, run experiments in a browser.

// Use cases

What it's for.

Concrete scenarios where teams pick AutoGen Studio over the SaaS alternative.

◆

Multi-agent prototyping

visualize agents collaborating

◈

Research experimentation

test agent architectures

◇

AI workflow design

manager + worker agents

▣

Code-gen workflows

coder + reviewer + tester agents

▦

Educational demos

visualize agent reasoning

// Who it's for

Built for these teams.

If your team profile matches one of these, AutoGen Studio is a strong fit out of the box.

Profile A

AI researchers

experimenting with multi-agent patterns

Profile B

AI engineers

prototyping team workflows before code

Profile C

Educators

demonstrating multi-agent concepts visually

Profile D

Power users

building autonomous agent crews

Profile E

Microsoft Research community

+ AutoGen library users

// Differentiators

Why teams pick AutoGen Studio.

When evaluating self-hosted options for this category, here are the dimensions on which AutoGen Studio consistently lands above the alternatives.

✓MIT (AutoGen) + Microsoft-backed — sustained development
✓Research-grade — used in published AI research
✓Multi-agent native — conversation patterns built in
✓Tool integration — agents can call functions
✓Studio + library — visual + code paths
✓Active development — major releases tracked

// Integrations

Connects to.

The stack you'll plug AutoGen Studio into — services, protocols, and adjacent apps in the BluixApps catalog.

◇

LLM providers

OpenAI, Anthropic, Azure OpenAI, Ollama, any OpenAI-compatible

◈

Code execution

sandboxed Python via Docker

◆

Web browsing

agent can use browser tools

▣

Custom tools

Python function registration

▦

Memory

agent state persistence

▩

Multi-modal

vision via GPT-4V, Claude vision

▼

Skills marketplace

community-built agent capabilities

// Adoption & deployment

Notable users & community

36k+ GitHub stars (AutoGen library)
Backed by Microsoft Research
Active Discord + GitHub Discussions
Used in AI research papers + corporate experiments
Standard multi-agent framework in OSS

What we ship

Docker image: ghcr.io/microsoft/autogen-studio:latest
Port 8082 exposed (mapped from 8081)
Persistent volume: /opt/autogen for workflows + chat history
No built-in auth — protect with reverse proxy in production
HTTPS via Let's Encrypt reverse proxy
Pre-configured to detect Ollama on same VPS
Backup hook covers /opt/autogen data

// Tips & operations

Run it properly.

Operational guidance from running this in production — what to lock down, what surprises people.

// PERFORMANCE

Research-grade software

breaking changes possible between versions

// SECURITY

API key required

configure LLM provider in Settings before use

// OPERATIONS

Resource-intensive

agent conversations consume tokens fast

// RELIABILITY

Production = library not Studio

Studio is for prototyping; production uses code

// DEPLOYMENT

Sandbox code execution carefully

agents can run arbitrary code

// SCALING

Conversation logs

review to debug agent behavior

2048

// min ram (MB)

// min disk (GB)

8082

// access port

http

// protocol

pro

// bluixapps tier

// Alternatives in AI / LLM

Compare with

Project resources

Official sitemicrosoft.github.io ↗