autogen
A programming framework for agentic AI
Source#
- Repository: microsoft/autogen
- Last source update: 2026-03-01
- Last verified: 2026-03-01
Tags#
Integration notes#
Framework-level abstraction; derive bounded worker contracts from concrete tasks and APIs in docs/examples.
worker.md example#
Starter worker.md contract mapped from this registry entry. Copy this file and adapt schemas, constraints, and statuses for your task.
---
id: autogen-repo-derived-worker
name: autogen Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/autogen/
source_repository: https://github.com/microsoft/autogen
repository_default_branch: main
repository_language: Python
repository_license: CC-BY-4.0
repository_updated_at: 2026-03-01
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-03-01
tags:
- agentic
- agentic-agi
- agents
- ai
- autogen
- autogen-ecosystem
---
# autogen Repo-Derived Worker
## Repo-derived summary
- Registry summary: A programming framework for agentic AI
- Repository description: A programming framework for agentic AI
- Stars (snapshot): 55,005
- Primary language: Python
- Worker mode classification: agent-orchestration-worker
## Extracted from
- https://github.com/microsoft/autogen
- https://github.com/microsoft/autogen/blob/main/README.md
- https://img.shields.io/twitter/url/https/twitter.com/cloudposse.svg?style=social&label=Follow%20%40pyautogen
- https://img.shields.io/badge/Documentation-AutoGen-blue?logo=read-the-docs
- https://img.shields.io/badge/Blog-AutoGen-blue?logo=blogger
## Evidence notes (from repository text)
- README summary paragraph: **AutoGen** is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
- **AutoGen** is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.
- > **Important:** if you are new to AutoGen, please checkout https://github.com/microsoft/agent-framework.
- # Install AgentChat and OpenAI client from Extensions
- pip install -U "autogen-agentchat" "autogen-ext[openai]"
- Create an assistant agent using OpenAI's GPT-4o model. See https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/models.html.
## Installation hints found in README
- `pip install -U "autogen-agentchat" "autogen-ext[openai]"`
- `pip install -U "autogenstudio"`
- `npm install -g @playwright/mcp@latest` to install the MCP server.`
## worker.md contract (derived starter)
Purpose: Execute one orchestrated agent task as a bounded worker step.
### Input schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"task",
"context"
],
"properties": {
"run_id": {
"type": "string"
},
"task": {
"type": "string"
},
"context": {
"type": "object"
}
}
}
```
### Output schema
```json
{
"type": "object",
"additionalProperties": false,
"required": [
"run_id",
"status",
"result"
],
"properties": {
"run_id": {
"type": "string"
},
"status": {
"type": "string",
"enum": [
"ok",
"retryable_error",
"invalid_request",
"invalid_output"
]
},
"result": {
"type": "object"
}
}
}
```
### Constraints
- timeout_seconds: 30
- max_attempts: 2
- idempotency_key: run_id
- status_enum: [ok, retryable_error, invalid_request, invalid_output]
- notes: adapt to concrete APIs/classes documented in this repository before production use
## How this should be used
1. Treat this file as a repo-derived starter profile, not a claim of an official repository API contract.
2. Replace schemas with exact interfaces from code/docs you adopt.
3. Keep execution bounded and auditable using worker protocol constraints.
How to use#
- Save this as a worker spec file (for example:
autogen-my-task.worker.md). - Replace the input/output schemas and purpose with your real bounded task.
- Enforce schema validation + timeout + retry policy in your runtime before production use.
Citation#
Reference URL: https://worker.md/registry/autogen/
Source URL: https://github.com/microsoft/autogen