agent-framework-orchestrations
Orchestration patterns for Microsoft Agent Framework. Includes SequentialBuilder, ConcurrentBuilder, HandoffBuilder, GroupChatBuilder, and MagenticBuilder.
Decision gist · record as of 2026-08-14
Yes. The package is production-stable, actively maintained, has no known vulnerabilities, and low install friction. It fills a clear gap for developers building multi-agent systems on Agent Framework who need structured orchestration patterns beyond single-agent logic. Install it if you are composing multiple agents and want to avoid reimplementing coordination logic.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; agent-framework-core must be installed as a runtime dependency.
- Low install friction with a single pure-Python dependency (agent-framework-core).
- Package is actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
permissive license (permissive) — Permissive license allows use in most commercial and open-source projects without significant restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 12,804 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 345,343 downloads/mo, #7,365 on PyPI
Alternatives
Verify before relying
pip install agent-framework-orchestrations
from agent_framework.orchestrations import SequentialBuilder
workflow = SequentialBuilder(participants=[agent1, agent2, agent3]).build()- Whether intermediate_output_from='all_other' and output_from selections work reliably across all builder types in production use.
- Performance characteristics and scaling limits when orchestrating large numbers of agents in concurrent or group chat patterns.
- Whether the Magentic One pattern implementation matches the original research or has Microsoft-specific modifications.
What it is and what it does
Agent Framework Orchestrations is a builder library for composing multi-agent workflows on top of Microsoft Agent Framework. It abstracts common orchestration patterns—sequential execution with context passing, parallel fan-out with aggregation, decentralized agent routing, orchestrator-directed conversations, and the Magentic One multi-agent pattern—into reusable builder classes. Each builder constructs a Workflow object that chains or coordinates agents, with fine-grained control over which agent outputs appear as final Workflow Output versus Intermediate Output (visible as reasoning steps).
The package depends only on agent-framework-core and targets Python 3.10+. It is designed for developers building agentic systems who need to move beyond single-agent patterns and coordinate multiple specialized agents toward a common goal. The builders handle the plumbing of message passing, context preservation, and output selection, so you focus on defining participants and orchestration logic rather than low-level coordination.
Use it for
- Chain multiple agents in sequence (e.g., research → analysis → writing) while preserving intermediate outputs for transparency.
- Fan out tasks to parallel agents (e.g., multiple data sources) and aggregate results into a single response.
- Route requests between agents based on content (e.g., triage → billing or support) without a central orchestrator.
- Facilitate multi-agent conversations where an orchestrator selects which agent speaks next based on context.
- Implement the Magentic One pattern for sophisticated multi-agent collaboration with a manager agent coordinating specialists.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is production-stable, actively maintained, has no known vulnerabilities, and low install friction. It fills a clear gap for developers building multi-agent systems on Agent Framework who need structured orchestration patterns beyond single-agent logic. Install it if you are composing multiple agents and want to avoid reimplementing coordination logic.
Install
agent-framework-orchestrations on PyPI
Before you install
Low install friction with a single pure-Python dependency (agent-framework-core). Package is actively maintained with a recent release and no known vulnerabilities.
Requires Python 3.10 or later; agent-framework-core must be installed as a runtime dependency.
License in practice
Permissive license allows use in most commercial and open-source projects without significant restrictions.
Quickstart
pip install agent-framework-orchestrations
from agent_framework.orchestrations import SequentialBuilder
workflow = SequentialBuilder(participants=[agent1, agent2, agent3]).build()
Verify before relying
- Whether intermediate_output_from='all_other' and output_from selections work reliably across all builder types in production use.
- Performance characteristics and scaling limits when orchestrating large numbers of agents in concurrent or group chat patterns.
- Whether the Magentic One pattern implementation matches the original research or has Microsoft-specific modifications.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageagent-framework-core |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 345,343 / month, #7,365 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None 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_orchestrations-1.1.0-py3-none-any.whl
Tags
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 › “multi-agent orchestration patterns”
- agent-framework-orchestrationsProvides high-level builder patterns for orchestrating multi-agent…
- autogen-agentchatProvides a high-level API for building multi-agent applications with…
- autogenA framework for building AI agents that communicate with each other…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also agent-framework-core · agent-framework · agent-framework-declarative · langgraph-supervisor · agent-framework-foundry-local · agent-framework-claude · autogen-agentchat · ag-ui-a2ui-toolkit · agent-framework-ollama · autogen