--- id: agent-framework-core version: "1.14.0" license: unclear license_treatment: permissive maintenance: active --- # agent-framework-core — Microsoft Agent Framework for building AI Agents with Python. This is the core package that has all the core abstractions and implementations. License: permissive · Maintenance: active · Downloads: 2.3M/mo ## What it is and what it does Agent Framework Core is Microsoft's Python library for building and orchestrating AI agents powered by large language models. It provides abstractions for creating individual agents with custom instructions and tools, then composing them into multi-agent systems using patterns like sequential workflows, concurrent execution, group chat, and handoff protocols. The framework handles LLM communication, function calling, message routing, and telemetry. You use it by instantiating agents with configuration, optionally attaching custom Python functions as tools, then either running agents directly or coordinating multiple agents through orchestration patterns. It supports both in-process and distributed execution, multimodal inputs (text and vision), and integrates with opentelemetry-api for observability. Core dependencies include msgspec, pydantic, typing-extensions, python-dotenv, and opentelemetry-api. Use it for: - Build a single agent with custom tools to answer questions and call functions on behalf of users. - Orchestrate multiple agents in sequence to iteratively refine outputs based on feedback. - Run multiple specialized agents concurrently to parallelize work on independent subtasks. - Implement group chat where multiple agents collaborate and discuss to reach consensus. - Deploy agents in distributed environments for scalable, fault-tolerant multi-agent applications. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Build, orchestrate, and deploy AI agents and multi-agent systems with support for multiple LLM providers, function calling, and orchestration patterns. Yes. Active, well-maintained framework with strong community adoption (12803 stars, top 5000 PyPI packages). MIT license, low install friction, no known vulnerabilities, and comprehensive multi-agent orchestration capabilities. Install if you need to build or coordinate AI agents; skip if you only need direct LLM chat without agent abstractions. ## Install pip install agent-framework-core uv add agent-framework-core poetry add agent-framework-core ## Installing agent-framework-core Before you install: Low friction installation with a pure-Python wheel. Active maintenance with recent release and strong community signal (12803 stars). Supports Python 3.10 through 3.14. License in practice: MIT license (permissive) allows unrestricted use, modification, and distribution in commercial and private projects with minimal obligations. Quickstart: pip install agent-framework-core import asyncio from agent_framework_core import Agent agent = Agent( instructions="You are a helpful assistant." ) result = asyncio.run(agent.run("Hello")) print(result) Requires Python 3.10+. Requires LLM provider credentials (e.g., OPENAI_API_KEY) set via environment variables or configuration. Verify before relying: - Which LLM providers (OpenAI, Foundry, Anthropic) are included in core versus optional integration packages - Performance characteristics and latency overhead of the orchestration layer - Whether distributed execution requires additional infrastructure or dependencies beyond the core package ## Package facts - License: not declared (permissive) - Python support: supports_current - Install friction: low - Maintenance: active - Downloads: 2.3M/month (top 5,000 on PyPI) - Known vulnerabilities: none known ## Tags AI agent framework Python, multi-agent orchestration, LLM agent building, function calling agents, agent workflow orchestration, distributed agent execution, agent framework core, multi-agent-systems, llm-orchestration, ai-agents [View on SkillFed](https://skillfed.io/packages/agent-framework-core) · [View on PyPI](https://pypi.org/project/agent-framework-core/)