ArtificialAnalysis/Stirrup Graph

Graph Summary

ArtificialAnalysis/Stirrup graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 4 deployment targets, and 3 use cases.

Nodes87

Edges405

Projects44

Dependencies31

Open project knowledge Find alternatives Explore related projects Explain score Compare shortlist

Alternatives3 linked signals Related8 linked signals Dependencies1 linked signals Deployments4 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

Stirrup

MaintainerArtificialAnalysis

LicenseMIT

LanguagePython

Recent activityActive in the last week

Deployment Targets

Dependencies

Knowledge Graph

87 nodes / 405 edges

ArtificialAnalysis/Stirrup ↔ CopilotKit/CopilotKitUse CopilotKit/CopilotKit when the user needs an agent framework project with docker, kubernetes, library-only deployment options.

ArtificialAnalysis/Stirrup ↔ e2b-dev/E2BUse e2b-dev/E2B when the user needs an agent framework project with docker, library-only, local deployment options.

ArtificialAnalysis/Stirrup ↔ google/adk-pythonUse google/adk-python when the user needs an agent framework project with docker, library-only, local deployment options.

ArtificialAnalysis/Stirrup ↔ agno-agi/agnoUse agno-agi/agno when the user needs an agent framework project with docker, local, cloud deployment options.

ArtificialAnalysis/Stirrup ↔ firecrawl/firecrawlUse firecrawl/firecrawl when the user needs an agent framework project with docker, library-only, local deployment options.

ArtificialAnalysis/Stirrup ↔ langchain-ai/langgraphjsUse langchain-ai/langgraphjs when the user needs an agent framework project with docker, library-only, local deployment options.

Alternatives Network

Replacement candidates

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ArtificialAnalysis/Stirrup ↔ langchain-ai/langchainUse langchain-ai/langchain when the user needs an agent framework project with docker, library-only, local deployment options.

ArtificialAnalysis/Stirrup ↔ crewAIInc/crewAIUse crewAIInc/crewAI when the user needs an agent framework project with local, cloud deployment options.

ArtificialAnalysis/Stirrup ↔ omnigent-ai/omnigentUse omnigent-ai/omnigent when the user needs an agent framework project with kubernetes, library-only, local deployment options.

ArtificialAnalysis/Stirrup ↔ agno-agi/agnoUse agno-agi/agno when the user needs an agent framework project with docker, local, cloud deployment options.

ArtificialAnalysis/Stirrup ↔ google/adk-pythonUse google/adk-python when the user needs an agent framework project with docker, library-only, local deployment options.

ArtificialAnalysis/Stirrup ↔ e2b-dev/E2BUse e2b-dev/E2B when the user needs an agent framework project with docker, library-only, local deployment options.

Migration Paths

What to verify before switching

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

ArtificialAnalysis/Stirrup -> langchain-ai/langchainCompatibility: high / estimated cost: low.Shared: category:agent_framework, deployment:docker, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, 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.

ArtificialAnalysis/Stirrup -> crewAIInc/crewAICompatibility: high / estimated cost: medium.Shared: category:agent_framework, deployment:local, deployment:cloud, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider, language:Python.Gaps: Deployment targets not listed by target: docker, library_only.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.

ArtificialAnalysis/Stirrup -> omnigent-ai/omnigentCompatibility: high / estimated cost: medium.Shared: category:agent_framework, deployment:library_only, deployment:local, deployment:cloud, use_case:orchestrate LLM tools, use_case:prototype autonomous workflows, dependency:LLM provider, language:Python.Gaps: Deployment targets not listed by target: docker. License changes from MIT to Apache-2.0.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