$npx skillfedfor your agent

agent-framework

Microsoft Agent Framework for building AI Agents with Python. This package contains all the core and optional packages.

Worth itPyPI Artificial IntelligenceReleased Aug 20261.5M downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — agent_framework-1.14.0-py3-none-any.whl
v1.14.0 · released 2026-08-14 · Python >=3.10 · 1 runtime deps: agent-framework-core

Yes. The package is actively maintained, production-stable, has no known vulnerabilities, and offers low install friction. It's a solid choice if you're building AI agents on OpenAI or Azure OpenAI and want structured orchestration patterns without writing boilerplate. The permissive MIT license and broad Python version support (3.10–3.14) add to its appeal. Start with a single agent to validate your use case, then scale to multi-agent workflows as needed.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.10+.
  • Requires OpenAI or Azure OpenAI API credentials set as environment variables (OPENAI_API_KEY or AZURE_OPENAI_API_KEY, etc.).
  • Active maintenance with recent release; low install friction as a pure Python wheel with a single core dependency.

License · maintenance · safety

permissive license (permissive) — MIT license (permissive) allows unrestricted use, modification, and distribution in commercial and private projects.

last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 12,803 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,527,626 downloads/mo, #3,810 on PyPI

Verify before relying

pip install agent-framework

import asyncio
from agent_framework import Agent
from agent_framework.openai import OpenAIChatClient

async def main():
    agent = Agent(
        client=OpenAIChatClient(),
        instructions="You are a helpful assistant."
    )
    result = await agent.run("Your prompt here")
    print(result)

asyncio.run(main())
  • Whether agent-framework-core and integration packages (foundry, copilotstudio) are included in the main agent-framework install or require separate installation.
  • Specific performance characteristics or limits for multi-agent orchestration (e.g., concurrent agent scaling, latency).
  • Whether the framework supports non-OpenAI LLM providers beyond Azure OpenAI.
Same gist for agents: .md · .json

What it is and what it does

Agent Framework is Microsoft's Python library for building and coordinating AI agents that interact with large language models. It provides a high-level Agent class that wraps OpenAI and Azure OpenAI chat clients, allowing you to define agent behavior through instructions, attach tools for function calling, and compose multiple agents into orchestrated workflows. The framework handles async execution, message passing, and agent-to-agent handoff patterns out of the box.

The package is designed for both simple single-agent tasks (summarization, Q&A) and complex multi-agent scenarios (sequential workflows, concurrent execution, group chat). It abstracts away boilerplate LLM integration code and provides patterns for common orchestration use cases like writer-reviewer loops and specialized agent teams. Installation is straightforward—either install the full framework with all integrations or pick specific sub-packages (core, foundry, copilotstudio) to keep dependencies lean.

Use it for

  • Build a single agent that summarizes documents or answers questions using OpenAI or Azure OpenAI as the backbone.
  • Create a multi-agent workflow where specialized agents (e.g., writer, reviewer, editor) collaborate sequentially or in parallel to refine content.
  • Attach custom Python functions as tools to agents so they can call weather APIs, database queries, or other services during execution.
  • Orchestrate agent handoff patterns where one agent routes tasks to another based on expertise or context.
  • Integrate with Microsoft Foundry or Copilot Studio for enterprise LLM and workflow management.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, production-stable, has no known vulnerabilities, and offers low install friction. It's a solid choice if you're building AI agents on OpenAI or Azure OpenAI and want structured orchestration patterns without writing boilerplate. The permissive MIT license and broad Python version support (3.10–3.14) add to its appeal. Start with a single agent to validate your use case, then scale to multi-agent workflows as needed.

Install

agent-framework on PyPI

Before you install

Active maintenance with recent release; low install friction as a pure Python wheel with a single core dependency. Supports Python 3.10 through 3.14 and shows strong adoption (top 5000 PyPI by downloads).

Requires Python 3.10+. Requires OpenAI or Azure OpenAI API credentials set as environment variables (OPENAI_API_KEY or AZURE_OPENAI_API_KEY, etc.).

License in practice

MIT license (permissive) allows unrestricted use, modification, and distribution in commercial and private projects.

Quickstart

pip install agent-framework

import asyncio
from agent_framework import Agent
from agent_framework.openai import OpenAIChatClient

async def main():
    agent = Agent(
        client=OpenAIChatClient(),
        instructions="You are a helpful assistant."
    )
    result = await agent.run("Your prompt here")
    print(result)

asyncio.run(main())

Verify before relying

  • Whether agent-framework-core and integration packages (foundry, copilotstudio) are included in the main agent-framework install or require separate installation.
  • Specific performance characteristics or limits for multi-agent orchestration (e.g., concurrent agent scaling, latency).
  • Whether the framework supports non-OpenAI LLM providers beyond Azure OpenAI.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
agent-framework-core
MaintenanceActively maintained 0 days since the last release
Last repo commit
First released
Downloads1,527,626 / month, #3,810 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed

Evidence: agent_framework-1.14.0-py3-none-any.whl

Tags

Capabilities
ai agent framework pythonmulti-agent orchestrationopenai agent builderllm agent frameworkagentic workflow orchestrationpython agent toolsagent framework azure openai
Topics
multi-agent-orchestrationllm-integrationasync-framework

Let your AI agent find packages like this

Example. Real query, live index.

You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.

wish › “openai agent builder”

  • agent-frameworkBuilds and orchestrates AI agents powered by OpenAI and Azure OpenAI…
  • langchainLangChain provides a framework for building agents and LLM-powered…
  • openai-agentsA framework for building multi-agent LLM workflows with support for…

Give your agent the search over MCP, or paste the wish link into any chat.

More Artificial Intelligence packages

litellm With conditions
PyPI · Artificial Intelligence · released Aug 2026

LiteLLM provides a unified Python interface to call 100+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Azure, and others) using OpenAI-compatible API format, available as both a Python SDK and a self-hosted AI Gateway proxy server.

Install it if you need to work with multiple LLM providers or want to centralize LLM routing in your organization.

MITcompiled wheel
682.8Mdownloads / mo
huggingface-hub Worth it
PyPI · Artificial Intelligence · released Aug 2026

Client library and CLI tool for downloading, uploading, and managing models, datasets, and repositories on the Hugging Face Hub platform.

Install it if you work with Hugging Face Hub models or datasets.

Apache-2.0pure Python · 3.10.0+
442.4Mdownloads / mo
langchain Worth it
PyPI · Python Modules · released Aug 2026

LangChain provides a framework for building agents and LLM-powered applications by composing language models, tools, and memory through a unified API that abstracts over multiple model providers.

MITpure Python
315.4Mdownloads / mo
hf-xet With conditions
PyPI · Artificial Intelligence · released Aug 2026

hf-xet provides chunk-based deduplication and efficient file transfer for the Hugging Face Hub, enabling faster uploads and downloads of large files with local disk caching.

Apache-2.0compiled wheel · 3.8+
258.4Mdownloads / mo
tokenizers Worth it
PyPI · Artificial Intelligence · released Apr 2026

Tokenizers converts raw text into token sequences for NLP models, with support for training custom vocabularies and using pre-built tokenizers (BPE, WordPiece) optimized for speed via Rust.

Apache-2.0compiled wheel · 3.10+
222.9Mdownloads / mo
transformers Worth it
PyPI · Artificial Intelligence · released Aug 2026

Transformers provides a unified framework for loading, fine-tuning, and running state-of-the-art pretrained models across text, vision, audio, video, and multimodal tasks using PyTorch, JAX, or TensorFlow.

Install it if you need to run or train any transformer-based model for NLP, vision, audio, or multimodal tasks.

permissive licensepure Python · 3.10.0+
186.6Mdownloads / mo

See also agent-framework-core · agent-framework-devui · agent-framework-openai · agent-framework-orchestrations · semantic-kernel · agent-framework-copilotstudio · agent-framework-foundry-local · agent-framework-chatkit · agent-framework-claude · agent-framework-ollama

Further reading