AI Worker worker.md

agent-framework

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

Automation platform 8,772 stars Python MIT Worker-compatible

Source#

Tags#

agent-frameworkagentic-aiagentsaidotnetmulti-agent

Integration notes#

Repository is workflow-oriented; map each workflow step to explicit worker contracts for predictability.

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: agent-framework-repo-derived-worker
name: agent-framework Repo-Derived Worker
version: 1.0.0
source_registry_url: https://worker.md/registry/agent-framework/
source_repository: https://github.com/microsoft/agent-framework
repository_default_branch: main
repository_language: Python
repository_license: MIT
repository_updated_at: 2026-04-05
worker_mode: agent-orchestration-worker
derivation_method: github_repository_metadata_plus_raw_readme
derivation_confidence: 0.95
derived_on: 2026-04-05
tags:
  - agent-framework
  - agentic-ai
  - agents
  - ai
  - dotnet
  - multi-agent
---

# agent-framework Repo-Derived Worker

## Repo-derived summary
- Registry summary: A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
- Repository description: A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
- Stars (snapshot): 8,772
- Primary language: Python
- Worker mode classification: agent-orchestration-worker

## Extracted from
- https://github.com/microsoft/agent-framework
- https://github.com/microsoft/agent-framework/blob/main/README.md
- https://img.shields.io/pypi/v/agent-framework
- https://learn.microsoft.com/agent-framework/overview/agent-framework-overview
- https://learn.microsoft.com/agent-framework/tutorials/quick-start

## Evidence notes (from repository text)
- README summary paragraph: Welcome to Microsoft's comprehensive multi-language framework for building, orchestrating, and deploying AI agents with support for both .NET and Python implementations. This framework provides everything from simple chat agents to complex multi-agent workflows with graph-based orchestration.
- ![Microsoft Agent Framework](docs/assets/readme-banner.png)
- alt="Watch the full Agent Framework introduction (30 min)" width="480">
- Watch the full Agent Framework introduction (30 min)
- - **https://learn.microsoft.com/agent-framework/overview/agent-framework-overview** - High level overview of the framework
- - **https://learn.microsoft.com/agent-framework/tutorials/quick-start** - Get started with a simple agent

## Installation hints found in README
- `pip install agent-framework`

## 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: agent-framework-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/agent-framework/

Source URL: https://github.com/microsoft/agent-framework