Agency Swarm
Overview
Open-source framework for orchestrating collaborative AI agent swarms with custom roles, tools, and automated agency workflows.
Agency Swarm is an open-source Python framework by VRSEN for building multi-agent systems where specialized agents collaborate through defined roles, tools, and communication flows. Developers compose agent agencies to automate complex tasks — from research and coding to customer workflows — with an architecture designed for modular, production-oriented agent teams.
Product overview
Capabilities, pricing and fit
Agency Swarm is an MIT-licensed Python framework for constructing and orchestrating teams of agents on top of the OpenAI Agents SDK. It is a developer framework rather than a hosted agent, providing roles, tools, directional communication flows, handoffs, persistence hooks, and multiple model-backend options.
Information as of August 8, 2026
What it can do
- Role-based multi-agent orchestration
Developers define specialized agents with distinct instructions, tools, models, and explicit directional communication flows.[1], [3]
- Handoffs and delegated work
Communication flows support complete handoffs or orchestrator-worker delegation through a SendMessage mechanism, including structured responses from specialists.[3]
- Tools, MCP, and persistence
The framework supports type-safe custom tools, OpenAPI tools, MCP servers, shared resources, and callbacks for loading and saving conversation threads.[4], [5]
Where it fits best
Important considerations
- Agency Swarm is a code framework, so users must supply model credentials, implement tools, operate storage and deployment, and evaluate agent behavior themselves.[1], [5]
- The documentation recommends starting with one agent because additional agents are harder to train; its orchestrator-worker pattern trades higher autonomy for higher cost and lower reliability unless guardrails are added.[3]
- The current 1.x package requires Python 3.12 or newer.[1]
Sources (5)
- VRSEN/agency-swarm | GitHubGitHub · checked 2026-08-08
- Installation | Agency SwarmDocumentation · checked 2026-08-08
- Communication Flows | Agency SwarmDocumentation · checked 2026-08-08
- Agency overview | Agency SwarmDocumentation · checked 2026-08-08
- Tools overview | Agency SwarmDocumentation · checked 2026-08-08
Autonomy level
89/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of Agency Swarm:
- Building multi-agent teams with defined roles and handoffs.
- Orchestrating collaborative AI workflows in Python.
- Prototyping agent agencies with open-source tooling.
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Pricing model:
Code access:
Popularity level: 65%
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