github/spec-kit Graph

Graph Summary

github/spec-kit graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 2 deployment targets, and 3 use cases.

Nodes50

Edges405

Projects37

Dependencies29

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

Alternatives3 linked signals Related8 linked signals Dependencies1 linked signals Deployments2 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

spec-kit

Maintainergithub

LicenseMIT

LanguagePython

Recent activityActive in the last week

Deployment Targets

Dependencies

Knowledge Graph

50 nodes / 405 edges

github/spec-kit ↔ generalaction/emdashUse generalaction/emdash when the user needs a coding agent project with docker, local, cloud deployment options.

github/spec-kit ↔ Nano-Collective/nanocoderUse Nano-Collective/nanocoder when the user needs a coding agent project with docker, library-only, local deployment options.

github/spec-kit ↔ narumiruna/pi-extensionsUse narumiruna/pi-extensions when the user needs a coding agent project with library-only, local, cloud deployment options.

github/spec-kit ↔ fujibee/agmsgUse fujibee/agmsg when the user needs a coding agent project with local, cloud deployment options.

github/spec-kit ↔ gi-dellav/zerostackUse gi-dellav/zerostack when the user needs a coding agent project with docker, local, cloud deployment options.

github/spec-kit ↔ nottelabs/notteUse nottelabs/notte when the user needs a coding agent project with library-only, local, cloud deployment options.

Alternatives Network

Replacement candidates

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github/spec-kit ↔ langchain-ai/open-sweUse langchain-ai/open-swe when the user needs a coding agent project with docker, library-only, local deployment options.

github/spec-kit ↔ OpenHands/OpenHandsUse OpenHands/OpenHands when the user needs a coding agent project with docker, vercel, serverless deployment options.

github/spec-kit ↔ nottelabs/notteUse nottelabs/notte when the user needs a coding agent project with library-only, local, cloud deployment options.

github/spec-kit ↔ sgl-project/sglangUse sgl-project/sglang when the user needs a coding agent project with docker, local, cloud deployment options.

github/spec-kit ↔ huggingface/sentence-transformersUse huggingface/sentence-transformers when the user needs a coding agent project with library-only, local, cloud deployment options.

github/spec-kit ↔ Aider-AI/aiderUse Aider-AI/aider when the user needs a coding agent 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.

github/spec-kit -> langchain-ai/open-sweCompatibility: high / estimated cost: low.Shared: category:coding_agent, deployment:local, deployment:cloud, use_case:build AI coding assistants, use_case:automate developer workflows, use_case:integrate codebase-aware agents, dependency:LLM provider, language:Python.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.

github/spec-kit -> agentforce314/clawcodexCompatibility: unknown / estimated cost: unknown.Shared: none indexed.Gaps: Target project is not indexed in the current corpus.Validate: Index or inspect the target repository before planning a migration. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example in the requested deployment.

github/spec-kit -> OpenHands/OpenHandsCompatibility: medium / estimated cost: medium.Shared: category:coding_agent, deployment:local, use_case:build AI coding assistants, use_case:automate developer workflows, use_case:integrate codebase-aware agents, dependency:LLM provider.Gaps: Deployment targets not listed by target: cloud. Language changes from Python to TypeScript.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