Tool overview
Agency Swarm is listed under AI Infrastructure & MLOps AI tools.
What is Agency Swarm?
Agency Swarm is an MIT-licensed Python framework for defining specialized agents, typed tools, directional communication, shared state, and multi-agent workflows. It builds on the OpenAI Agents SDK and documents third-party model support through compatible adapters.
Best for
Python teams creating customized multi-agent applications and services
Who is it for?
Decision note
Accepted for Preview after independent V411 official-source research. Apply only after failures = 0, warnings = 0, unmapped = 0, and review of controlled fields, Arabic v2 parity, outreach, affiliate status, logo QA, rebrand handling, and explicit clears.
Key features
Specialized agent roles
Directional communication flows
Type-safe tool definitions
Persistent shared-state support
Third-party model adapters
Use cases
Building multi-agent applications
Automating coordinated research
Creating agent service workflows
Testing delegation patterns
Deploying custom agent teams
Pros
- MIT-licensed open-source framework
- Clear Python development workflow
- Supports additional model providers
Cons
- No hosted pricing is published
- Production operations remain user-managed
- Agent coordination adds debugging complexity
Limitations
Multi-agent workflows can amplify errors, latency, and tool risk. Developers should restrict permissions, test delegation loops, cap budgets, validate state transitions, and retain human review for consequential outputs.
Pricing details
Billing options
Pricing note
The core Agency Swarm framework is free under the MIT license. Model-provider, hosting, observability, and implementation costs are separate. No public recurring price or commercial free-trial terms were confirmed for optional services.
Supported languages
- English
Integrations
OpenAI Agents SDK
LiteLLM
Ollama
vLLM




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