langchain-ai/open-swe Graph

Graph Summary

langchain-ai/open-swe graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes52

Edges406

Projects38

Dependencies30

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

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

Project Context

open-swe

Maintainerlangchain-ai

LicenseMIT

LanguagePython

Recent activityActive in the last week

Deployment Targets

Dependencies

Knowledge Graph

52 nodes / 406 edges

langchain-ai/open-swe ↔ humanlayer/humanlayerUse humanlayer/humanlayer when the user needs a coding agent project with docker, local, cloud deployment options.

langchain-ai/open-swe ↔ gi-dellav/zerostackUse gi-dellav/zerostack when the user needs a coding agent project with docker, local, cloud deployment options.

langchain-ai/open-swe ↔ generalaction/emdashUse generalaction/emdash when the user needs a coding agent project with docker, local, cloud deployment options.

langchain-ai/open-swe ↔ kittors/CliRelayUse kittors/CliRelay when the user needs a coding agent project with docker, local, cloud deployment options.

langchain-ai/open-swe ↔ Nano-Collective/nanocoderUse Nano-Collective/nanocoder when the user needs a coding agent project with docker, library-only, local deployment options.

langchain-ai/open-swe ↔ askalf/darioUse askalf/dario when the user needs a coding agent project with docker, library-only, local deployment options.

Alternatives Network

Replacement candidates

JSON

langchain-ai/open-swe ↔ OpenHands/OpenHandsUse OpenHands/OpenHands when the user needs a coding agent project with docker, vercel, serverless deployment options.

langchain-ai/open-swe ↔ mozilla-ai/otariUse mozilla-ai/otari when the user needs a coding agent project with docker, local, cloud deployment options.

langchain-ai/open-swe ↔ nottelabs/notteUse nottelabs/notte when the user needs a coding agent project with serverless, library-only, local deployment options.

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

langchain-ai/open-swe ↔ sgl-project/sglangUse sgl-project/sglang when the user needs a coding agent project with docker, library-only, local deployment options.

langchain-ai/open-swe ↔ generalaction/emdashUse generalaction/emdash when the user needs a coding agent project with docker, local, cloud deployment options.

Migration Paths

What to verify before switching

JSON

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

langchain-ai/open-swe -> OpenHands/OpenHandsCompatibility: medium / estimated cost: medium.Shared: category:coding_agent, deployment:docker, 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.

langchain-ai/open-swe -> mozilla-ai/otariCompatibility: high / estimated cost: medium.Shared: category:coding_agent, deployment:docker, deployment:local, deployment:cloud, use_case:build AI coding assistants, use_case:automate developer workflows, use_case:integrate codebase-aware agents, dependency:LLM provider.Gaps: 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.

langchain-ai/open-swe -> nottelabs/notteCompatibility: high / estimated cost: medium.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: Deployment targets not listed by target: docker. License changes from MIT to NOASSERTION.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