Workflow Automation · Public

autogen

A programming framework for agentic AI

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot59k stars

8.9k forks · 533 contributors

Doramagic.ai Last verification date: 2026-06-22 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-22

What is autogen?

A programming framework for agentic AI
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: May increase setup, validation, or first-run risk for the user.
Evidence base: https://github.com/microsoft/autogen, https://github.com/microsoft/autogen#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

A programming framework for agentic AI

Repositorymicrosoft/autogen

59k stars · 8.9k forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Framework Overview and Layered Architecture

Related topics: Core API: Agent Runtime, Messaging, and Distribution, AgentChat: Multi-Agent Orchestration Patterns, Extensions, Tools, Models, and Developer Tooling

Source: https://github.com/microsoft/autogen / Human Manual

Core API: Agent Runtime, Messaging, and Distribution

Related topics: Framework Overview and Layered Architecture, AgentChat: Multi-Agent Orchestration Patterns

Source: https://github.com/microsoft/autogen / Human Manual

AgentChat: Multi-Agent Orchestration Patterns

Related topics: Framework Overview and Layered Architecture, Core API: Agent Runtime, Messaging, and Distribution, Extensions, Tools, Models, and Developer Tooling

Source: https://github.com/microsoft/autogen / Human Manual

Extensions, Tools, Models, and Developer Tooling

Related topics: Framework Overview and Layered Architecture, AgentChat: Multi-Agent Orchestration Patterns

Source: https://github.com/microsoft/autogen / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/microsoft/autogen, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars59k stars

Forks8.9k forks

Contributors533 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using autogen with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Proposal: Goldshine Protocol: A Decentralized Global Capability Delivery
github / github_issue
02
Multi-agent systems need a 'mission keeper' role — not a Boss Agent, but
github / github_issue
03
Memory Proposal
github / github_issue
04
Safety Report: AI Agent Guardrails Do Not Work — 56-Day Proof (06K Loss)
github / github_issue
05
Feature proposal: Backpressure contract declarations for multi-agent coo
github / github_issue
06
RFC: Cross-agent shared memory store with on-demand capsule recall (agen
github / github_issue
07
🔗 New Integration: AgentFolio — Agent Identity, Trust & Reputation Tools
github / github_issue
08
[Question] Practical reliability patterns for multi-agent production
github / github_issue
09
Proposal: Agent-to-Agent Commerce Integration via Merxex
github / github_issue
10
Proposal: AgentOS — A Registry + Compiler Architecture for Deterministic
github / github_issue
11
Mycelium Trails — post-execution accountability receipts for AutoGen age
github / github_issue
12
Security or permission risk requires verification
GitHub / issue

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install autogen-core

Official start command · https://github.com/microsoft/autogen#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

autogen Manual

A programming framework for agentic AI

Open the full manual

https://github.com/microsoft/autogen Project Manual
Table of Contents
Framework Overview and Layered Architecture
Related Pages
1. Purpose and Scope
2. The Layered Architecture
2.1 Core Layer — `autogen-core`
2.2 AgentChat Layer — `autogen-agentchat`

Framework Overview and Layered Architecture

Related topics: Core API: Agent Runtime, Messaging, and Distribution, AgentChat: Multi-Agent Orchestration Patterns, Extensions, Tools, Models, and Developer Tooling

Source: https://github.com/microsoft/autogen / Human Manual

Core API: Agent Runtime, Messaging, and Distribution

Related topics: Framework Overview and Layered Architecture, AgentChat: Multi-Agent Orchestration Patterns

Source: https://github.com/microsoft/autogen / Human Manual

AgentChat: Multi-Agent Orchestration Patterns

Related topics: Framework Overview and Layered Architecture, Core API: Agent Runtime, Messaging, and Distribution, Extensions, Tools, Models, and Developer Tooling

Source: https://github.com/microsoft/autogen / Human Manual

Extensions, Tools, Models, and Developer Tooling

Related topics: Framework Overview and Layered Architecture, AgentChat: Multi-Agent Orchestration Patterns

Source: https://github.com/microsoft/autogen / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Configuration risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

Developers may expose sensitive permissions or credentials: Cryptographic governance layer for AutoGen distributed agent runtime

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.

high

Security or permission risk requires verification

May increase setup, validation, or first-run risk for the user.