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
position: Provider
access: Open Source
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
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
url: https://raw.githubusercontent.com/api-evangelist/autogen-studio/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.20'
apis: []
common:
  - 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