Evaluation record · swarm

OpenAI Swarm

vExperimental (Deprecated)

OpenAI

Agentopenaiassistantsexperimentalopen-source

Adequate

About This Agent

DEPRECATED: marked deprecated since 2025-03-11; the README redirects users to the OpenAI Agents SDK as the production successor (repo remains public and unmaintained, not GitHub-archived). Swarm was an experimental educational framework from OpenAI for multi-agent orchestration, demonstrating agent coordination and handoff patterns with simple Python primitives. Not maintained; do not use for new projects.

Last Evaluated: July 9, 2026

Official Website

Trust Vector Analysis

Dimension Breakdown

🚀Performance & Reliability

agent orchestration

Orchestration testing

Evidence

Swarm Documentation — Lightweight multi-agent orchestration patterns

mediumVerified: 2026-07-09

agent handoffs

Handoff testing

Evidence

Handoff Pattern — Ergonomic agent-to-agent handoff mechanisms

highVerified: 2026-07-09

simplicity

Code complexity assessment

Evidence

Design Philosophy — Minimalist design with simple Python primitives

highVerified: 2026-07-09

context management

Context handling testing

Evidence

Context Variables — Basic context management for agent coordination

mediumVerified: 2026-07-09

experimental status

Status assessment

Evidence

README Warning — Explicitly marked as experimental, not for production

highVerified: 2026-07-09

latency

Performance monitoring

Evidence

Performance — Performance depends on OpenAI API and agent complexity

mediumVerified: 2026-07-09

🛡️Security

minimal dependencies

Dependency analysis

Evidence

Dependencies — Minimal dependencies reduce attack surface

highVerified: 2026-07-09

openai trust

Source trust assessment

Evidence

OpenAI Repository — Official OpenAI project with trusted maintainers

highVerified: 2026-07-09

experimental risks

Security maturity assessment

Evidence

Experimental Status — Experimental status means security not production-hardened

highVerified: 2026-07-09

open source

Open source assessment

Evidence

GitHub — MIT license, 13k+ stars, transparent code

highVerified: 2026-07-09

api security

API security review

Evidence

OpenAI Integration — Security depends on OpenAI API key handling

mediumVerified: 2026-07-09

🔒Privacy & Compliance

local execution

Privacy architecture review

Evidence

Framework Architecture — Python library runs locally, orchestration in your environment

highVerified: 2026-07-09

openai data sharing

Data flow analysis

Evidence

OpenAI API — All agent interactions sent to OpenAI API

mediumVerified: 2026-07-09

no telemetry

Telemetry assessment

Evidence

Code Review — No telemetry in framework code

highVerified: 2026-07-09

gdpr considerations

Compliance assessment

Evidence

OpenAI Privacy — Privacy depends on OpenAI's data policies

mediumVerified: 2026-07-09

data control

Data control assessment

Evidence

Framework Design — Limited data control, OpenAI API required

mediumVerified: 2026-07-09

👁️Trust & Transparency

documentation quality

Documentation completeness review

Evidence

README and Examples — Good README with examples, limited detailed docs

mediumVerified: 2026-07-09

code clarity

Code quality assessment

Evidence

Source Code — Clean, readable code demonstrating patterns

highVerified: 2026-07-09

openai backing

Source trust assessment

Evidence

Official OpenAI — Official OpenAI project, trusted source

highVerified: 2026-07-09

open source

Open source assessment

Evidence

GitHub — MIT license, 13k+ stars, open development

highVerified: 2026-07-09

educational purpose

Purpose assessment

Evidence

Purpose Statement — Explicitly designed for educational and experimental use

highVerified: 2026-07-09

⚙️Operational Excellence

ease of use

Usability assessment

Evidence

Simplicity — Very simple API, easy to understand patterns

highVerified: 2026-07-09

production readiness

Production readiness assessment

Evidence

README Warning — Explicitly not recommended for production use

GitHub Repository Status — Repository deprecated since 2025-03-11; README redirects to the OpenAI Agents SDK as the production successor; repo public but unmaintained (not GitHub-archived), ~21,800 stars

highVerified: 2026-07-09

scalability

Scalability assessment

Evidence

Design — Designed for experimentation, not large-scale deployment

mediumVerified: 2026-07-09

cost predictability

Pricing model analysis

Evidence

Pricing — Free MIT library, costs only for OpenAI API usage

highVerified: 2026-07-09

monitoring

Monitoring features assessment

Evidence

Features — Minimal monitoring, experimental framework

mediumVerified: 2026-07-09

learning value

Educational value assessment

Evidence

Educational Design — Excellent for learning multi-agent patterns

highVerified: 2026-07-09

Strengths

+Official OpenAI educational framework for multi-agent patterns
+Extremely simple and ergonomic API design
+Clean code that demonstrates best practices
+MIT licensed with minimal dependencies
+Excellent for learning agent orchestration concepts
+21k+ GitHub stars showing lasting educational interest

Limitations

!Explicitly experimental, not for production use
!OpenAI API only, no support for other LLM providers
!Limited features compared to production frameworks
!No built-in monitoring, error handling, or scaling features
!Minimal documentation beyond examples
!Not actively maintained for production use cases
!Deprecated since 2025-03-11; README directs users to the OpenAI Agents SDK

Metadata

license: MIT

supported models

0: OpenAI GPT-4

1: GPT-3.5

programming languages

0: Python

deployment type: Self-hosted Python library

tool support

0: Function calling

1: Agent handoffs

pricing model: Free open source (OpenAI API costs apply)

github stars: 21700+

first release: 2024

status: Experimental / Educational - Replaced by OpenAI Agents SDK

deprecation notice: OpenAI recommends migrating to the Agents SDK for production use. Swarm was experimental only and is not officially supported.

github repo: https://github.com/openai/swarm

successor: OpenAI Agents SDK (production-ready evolution of Swarm)

Use Case Ratings

customer support

Good for prototyping agent handoff patterns

code generation

Can demonstrate multi-agent code workflows

research assistant

Good for experimenting with research agent patterns

data analysis

Can prototype multi-agent data workflows

content creation

Good for prototyping content agent collaboration

education

Excellent for learning about multi-agent systems

healthcare

Experimental status not suitable for healthcare

financial analysis

Not suitable for production financial systems

legal compliance

Can prototype multi-agent legal workflows

creative writing

Good for experimenting with creative agent collaboration

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