openai/swarm Graph

Graph Summary

openai/swarm graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes69

Edges409

Projects51

Dependencies23

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Alternatives3 linked signals Related8 linked signals Dependencies1 linked signals Deployments3 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

swarm

Maintaineropenai

LicenseMIT

LanguagePython

Recent activityLast push 157 days ago

Deployment Targets

Dependencies

Knowledge Graph

69 nodes / 409 edges

openai/swarm ↔ microsoft/agent-frameworkUse microsoft/agent-framework when the user needs a workflow automation project with library-only, local, cloud deployment options.

openai/swarm ↔ conductor-oss/conductorUse conductor-oss/conductor when the user needs a workflow automation project with docker, library-only, local deployment options.

openai/swarm ↔ ray-project/rayUse ray-project/ray when the user needs a workflow automation project with docker, kubernetes, library-only deployment options.

openai/swarm ↔ smithersai/smithersUse smithersai/smithers when the user needs a workflow automation project with docker, library-only, local deployment options.

openai/swarm ↔ Unstructured-IO/unstructuredUse Unstructured-IO/unstructured when the user needs a workflow automation project with docker, library-only, local deployment options.

openai/swarm ↔ ZHangZHengEric/SageUse ZHangZHengEric/Sage when the user needs a workflow automation project with docker, library-only, local deployment options.

Alternatives Network

Replacement candidates

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openai/swarm ↔ langflow-ai/langflowUse langflow-ai/langflow when the user needs a workflow automation project with docker, library-only, local deployment options.

openai/swarm ↔ openai/openai-agents-pythonUse openai/openai-agents-python when the user needs a workflow automation project with docker, library-only, local deployment options.

openai/swarm ↔ Skyvern-AI/skyvernUse Skyvern-AI/skyvern when the user needs a workflow automation project with docker, library-only, local deployment options.

openai/swarm ↔ microsoft/agent-frameworkUse microsoft/agent-framework when the user needs a workflow automation project with library-only, local, cloud deployment options.

openai/swarm ↔ sipyourdrink-ltd/bernsteinUse sipyourdrink-ltd/bernstein when the user needs a workflow automation project with docker, local, cloud deployment options.

openai/swarm ↔ ray-project/rayUse ray-project/ray when the user needs a workflow automation project with docker, kubernetes, library-only deployment options.

Migration Paths

What to verify before switching

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These paths are evidence-backed heuristics, not drop-in compatibility claims.

openai/swarm -> langflow-ai/langflowCompatibility: high / estimated cost: low.Shared: category:workflow_automation, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate AI workflows, use_case:connect tools and services, use_case:automate repeated tasks, dependency:LLM provider.Gaps: No indexed gap; still run the validation steps.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

openai/swarm -> openai/openai-agents-pythonCompatibility: high / estimated cost: low.Shared: category:workflow_automation, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate AI workflows, use_case:connect tools and services, use_case:automate repeated tasks, dependency:LLM provider.Gaps: No indexed gap; still run the validation steps.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

openai/swarm -> Skyvern-AI/skyvernCompatibility: high / estimated cost: medium.Shared: category:workflow_automation, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate AI workflows, use_case:connect tools and services, use_case:automate repeated tasks, dependency:LLM provider.Gaps: License changes from MIT to AGPL-3.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases