Project Graph

openai/openai-agents-python

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

openai/openai-agents-python graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 4 deployment targets, and 3 use cases.

Nodes68
Edges410
Projects50
Dependencies23

Project Context

openai-agents-python

Maintaineropenai
LicenseMIT
LanguagePython
Recent activityActive in the last week

Deployment Targets

dockerlibrary_onlylocalcloud

Dependencies

LLM provider

Knowledge Graph

68 nodes / 410 edges

openai/openai-age… focus workflow auto… category docker deployment library_only deployment local deployment cloud deployment orchestrate A… use case connect tools… use case automate repe… use case LLM provider dependency agent-framewo… project skyvern project Sage project dify project ray project

Migration Paths

What to verify before switching

JSON

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

openai/openai-agents-python -> microsoft/agent-frameworkCompatibility: 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: Deployment targets not listed by target: docker.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/openai-agents-python -> Skyvern-AI/skyvernCompatibility: high / estimated cost: medium.Shared: category:workflow_automation, deployment:docker, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate AI workflows, use_case:connect tools and services, use_case:automate repeated tasks.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.
openai/openai-agents-python -> ZHangZHengEric/SageCompatibility: high / estimated cost: low.Shared: category:workflow_automation, deployment:docker, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate AI workflows, use_case:connect tools and services, use_case:automate repeated tasks.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.

Use Cases

orchestrate AI workflowsconnect tools and servicesautomate repeated tasks

Categories

workflow automation

Alternatives

microsoft/agent-frameworkSkyvern-AI/skyvernZHangZHengEric/SagePipelex/pipelexray-project/raylanggenius/dify

Related Projects

langgenius/difyray-project/rayfancyboi999/open-taglangflow-ai/langflowPipelex/pipelexgoogle/adk-java