AutoGen Studio is a low-code / no-code developer GUI from Microsoft Research for rapidly prototyping, composing, and debugging multi-agent AI workflows built on the AutoGen framework. Shipped as the `autogenstudio` Python package and launched with `autogenstudio ui`, it serves a FastAPI + React (Gatsby) web app on localhost that exposes four primary interfaces — Team Builder, Playground, Gallery, and Deployment — backed by a SQLModel persistence layer (SQLite by default; any SQLAlchemy-compatible backend such as PostgreSQL, MySQL, MSSQL via `--database-uri`). The Team Builder offers drag-and-drop and JSON authoring of teams, agents, models, tools, and termination conditions fully aligned with AutoGen AgentChat's declarative component spec; the Playground streams live inter-agent messages and renders the control transition graph; the Gallery imports community components; and the Deployment view exports a team to Python, exposes it as an endpoint, and packages it for Docker. AutoGen Studio is built on AutoGen AgentChat / Core / Extensions and supports any OpenAI-compatible model endpoint (OpenAI, Azure OpenAI, Anthropic, local vLLM/Ollama, etc.) via declarative `model_client` configuration, plus MCP tool integration. Authentication is experimental (GitHub OAuth + JWT only). Microsoft explicitly positions AutoGen Studio as a research prototype — not production-ready — and encourages teams that need authn/z, multi-tenancy, sandboxing rigor, or hardened deployment to build directly on the AutoGen framework instead. Companion to the broader AutoGen multi-agent framework, distributed under the Microsoft microsoft/autogen monorepo (CC-BY-4.0 docs, MIT code).
AutoGen Studio is profiled on the APIs.io network. Tagged areas include AutoGen, AutoGen Studio, Multi-Agent, Agent Framework, and Agentic AI.
AutoGen Studio’s developer surface includes engineering blog, documentation, FAQ, and 19 more developer resources.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
Installable via `pip install -U autogenstudio` (Python 3.10+); current PyPI release 0.4.2.2
Launched as a local web app with `autogenstudio ui --port 8081` (FastAPI backend + Gatsby/React frontend)
Configurable via `--host`, `--port`, `--appdir`, `--reload`, `--database-uri`, `--upgrade-database`, `--auth-config`
Team Builder visual canvas with drag-and-drop assembly of teams, agents, models, tools, and termination conditions, plus equivalent direct JSON editing
Playground with live inter-agent message streaming, control transition graph visualization, UserProxyAgent sessions, and pause/stop run control
Gallery for discovering and importing community-created components and third-party integrations
Deployment view that exports a team to Python code, exposes it as a runnable endpoint, and supports containerized execution via Docker
Bring-your-own model — any OpenAI-compatible endpoint (OpenAI, Azure OpenAI, Anthropic, vLLM, Ollama, local models) via declarative `model_client` config; AutoGen Extensions provides first-party clients
Define agents in Python with AutoGen AgentChat, dump to JSON via `dump_component().model_dump_json()`, and import into Studio's JSON editor
MCP (Model Context Protocol) tool integration via `autogenstudio/mcp` and `/api/mcp` routes
SQLModel-based persistence (Pydantic + SQLAlchemy) — defaults to SQLite, supports PostgreSQL, MySQL, MSSQL, Oracle, and other SQLAlchemy dialects
Internal FastAPI surface (not a public API) under `/api/` with routes for teams, sessions, runs, gallery, mcp, settings, validation, and a `/api/ws` WebSocket for streaming
Experimental GitHub OAuth authentication with JWT (`--auth-config auth.yaml`); disabled by default, WebSockets require `?token=` query param when enabled
Default app directory `~/.autogenstudio/` for database and generated user files
Dev container shipped under `python/packages/autogen-studio/.devcontainer/` for source builds
{"Frontend stack" => "React + Gatsby (built with `yarn build`); backend served by `autogenstudio.web.serve`"}
Explicitly positioned by Microsoft as a research prototype — not production-ready; lacks production-grade authn/z, multi-tenancy, jailbreak hardening, and least-privilege key scoping
Companion to the broader AutoGen framework (AgentChat, Core, Extensions, .NET) under the microsoft/autogen monorepo (~58k GitHub stars)
Original research prototype (Oct 2023) by Dibia, Bansal, Fourney, Choudhury, Amershi, Awadallah, Wang; EMNLP 2024 System Demonstrations paper
{"License" => "MIT for code, CC-BY-4.0 for documentation"}
aid: autogen-studio
name: AutoGen Studio
description: AutoGen Studio is a low-code / no-code developer GUI from Microsoft Research for rapidly prototyping, composing,
and debugging multi-agent AI workflows built on the AutoGen framework. Shipped as the `autogenstudio` Python package and
launched with `autogenstudio ui`, it serves a FastAPI + React (Gatsby) web app on localhost that exposes four primary interfaces
— Team Builder, Playground, Gallery, and Deployment — backed by a SQLModel persistence layer (SQLite by default; any SQLAlchemy-compatible
backend such as PostgreSQL, MySQL, MSSQL via `--database-uri`). The Team Builder offers drag-and-drop and JSON authoring
of teams, agents, models, tools, and termination conditions fully aligned with AutoGen AgentChat's declarative component
spec; the Playground streams live inter-agent messages and renders the control transition graph; the Gallery imports community
components; and the Deployment view exports a team to Python, exposes it as an endpoint, and packages it for Docker. AutoGen
Studio is built on AutoGen AgentChat / Core / Extensions and supports any OpenAI-compatible model endpoint (OpenAI, Azure
OpenAI, Anthropic, local vLLM/Ollama, etc.) via declarative `model_client` configuration, plus MCP tool integration. Authentication
is experimental (GitHub OAuth + JWT only). Microsoft explicitly positions AutoGen Studio as a research prototype — not production-ready
— and encourages teams that need authn/z, multi-tenancy, sandboxing rigor, or hardened deployment to build directly on the
AutoGen framework instead. Companion to the broader AutoGen multi-agent framework, distributed under the Microsoft microsoft/autogen
monorepo (CC-BY-4.0 docs, MIT code).
type: Index
deliveryModel:
model: unknown
open_source: unknown
commercial: false
callable_host: false
label: Delivery model not determined — needs a product licence on record
confidence: low
source:
- repository-unlicensed
generated: '2026-08-28'
method: derived
accessModel:
pricing: unknown
onboarding: unknown
trial: false
try_now: false
public: false
label: Unknown
confidence: low
source: []
generated: '2026-07-22'
method: derived
position: Producing
access: Open Source
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/autogen-studio.png
tags:
- AutoGen
- AutoGen Studio
- Multi-Agent
- Agent Framework
- Agentic AI
- Low-Code
- No-Code
- GUI
- Visual Builder
- Drag And Drop
- Prototyping
- AgentChat
- Microsoft Research
- Python
- FastAPI
- React
- SQLModel
- MCP
- Open-Source
tags_raw:
- AutoGen
- AutoGen Studio
- Multi-Agent
- Agent Framework
- Agentic AI
- Low-Code
- No-Code
- GUI
- Visual Builder
- Drag and Drop
- Prototyping
- AgentChat
- Microsoft Research
- Python
- FastAPI
- React
- SQLModel
- MCP
- Open Source
url: https://raw.githubusercontent.com/api-evangelist/autogen-studio/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.23'
apis: []
common:
- type: Releases
url: https://github.com/microsoft/autogen/releases
- type: SecurityPolicy
url: https://github.com/microsoft/autogen/blob/main/SECURITY.md
- type: CodeOfConduct
url: https://github.com/microsoft/autogen/blob/main/CODE_OF_CONDUCT.md
- type: ContributionGuide
url: https://github.com/microsoft/autogen/blob/main/CONTRIBUTING.md
- url: https://microsoft.github.io/autogen/0.2/blog/rss.xml
type: Blog
- type: Website
url: https://microsoft.github.io/autogen/
- type: Documentation
url: https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/index.html
- type: Installation
url: https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/installation.html
- type: Usage
url: https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/usage.html
- type: ExperimentalFeatures
url: https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/experimental.html
- type: FAQ
url: https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/faq.html
- type: GitHubRepository
url: https://github.com/microsoft/autogen
- type: SourceCode
url: https://github.com/microsoft/autogen/tree/main/python/packages/autogen-studio
- type: PackagePyPI
url: https://pypi.org/project/autogenstudio/
- type: GitHubOrganization
url: https://github.com/microsoft
- type: Discord
url: https://aka.ms/autogen-discord
- type: Twitter
url: https://twitter.com/pyautogen
- type: VideoTutorial
url: https://youtu.be/oum6EI7wohM
- type: ResearchPaper
url: https://aclanthology.org/2024.emnlp-demo.8/
- type: RoadMap
url: https://github.com/microsoft/autogen/issues
- type: License
url: https://github.com/microsoft/autogen/blob/main/LICENSE-CODE
- type: Companion
url: https://github.com/api-evangelist/microsoft-autogen
- type: Features
data:
- Installable via `pip install -U autogenstudio` (Python 3.10+); current PyPI release 0.4.2.2
- Launched as a local web app with `autogenstudio ui --port 8081` (FastAPI backend + Gatsby/React frontend)
- Configurable via `--host`, `--port`, `--appdir`, `--reload`, `--database-uri`, `--upgrade-database`, `--auth-config`
- Team Builder visual canvas with drag-and-drop assembly of teams, agents, models, tools, and termination conditions, plus
equivalent direct JSON editing
- Component Library backed by AutoGen AgentChat's declarative component spec (teams, agents, models, tools, termination
conditions)
- Playground with live inter-agent message streaming, control transition graph visualization, UserProxyAgent sessions, and
pause/stop run control
- Gallery for discovering and importing community-created components and third-party integrations
- Deployment view that exports a team to Python code, exposes it as a runnable endpoint, and supports containerized execution
via Docker
- Bring-your-own model — any OpenAI-compatible endpoint (OpenAI, Azure OpenAI, Anthropic, vLLM, Ollama, local models) via
declarative `model_client` config; AutoGen Extensions provides first-party clients
- Define agents in Python with AutoGen AgentChat, dump to JSON via `dump_component().model_dump_json()`, and import into
Studio's JSON editor
- MCP (Model Context Protocol) tool integration via `autogenstudio/mcp` and `/api/mcp` routes
- SQLModel-based persistence (Pydantic + SQLAlchemy) — defaults to SQLite, supports PostgreSQL, MySQL, MSSQL, Oracle, and
other SQLAlchemy dialects
- Internal FastAPI surface (not a public API) under `/api/` with routes for teams, sessions, runs, gallery, mcp, settings,
validation, and a `/api/ws` WebSocket for streaming
- Experimental GitHub OAuth authentication with JWT (`--auth-config auth.yaml`); disabled by default, WebSockets require
`?token=` query param when enabled
- Default app directory `~/.autogenstudio/` for database and generated user files
- Dev container shipped under `python/packages/autogen-studio/.devcontainer/` for source builds
- Frontend stack: React + Gatsby (built with `yarn build`); backend served by `autogenstudio.web.serve`
- Explicitly positioned by Microsoft as a research prototype — not production-ready; lacks production-grade authn/z, multi-tenancy,
jailbreak hardening, and least-privilege key scoping
- Companion to the broader AutoGen framework (AgentChat, Core, Extensions, .NET) under the microsoft/autogen monorepo (~58k
GitHub stars)
- Original research prototype (Oct 2023) by Dibia, Bansal, Fourney, Choudhury, Amershi, Awadallah, Wang; EMNLP 2024 System
Demonstrations paper
- License: MIT for code, CC-BY-4.0 for documentation
sources:
- https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/index.html
- https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/installation.html
- https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/usage.html
- https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/experimental.html
- https://microsoft.github.io/autogen/stable/user-guide/autogenstudio-user-guide/faq.html
- https://github.com/microsoft/autogen/tree/main/python/packages/autogen-studio
- https://pypi.org/project/autogenstudio/
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
x-parent: autogen
x-relationship: product
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