smol-ai/developer Graph

Graph Summary

smol-ai/developer graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 4 deployment targets, and 3 use cases.

Nodes86

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

developer

Maintainersmol-ai

LicenseMIT

LanguagePython

Recent activityLast push 894 days ago

Deployment Targets

Dependencies

Knowledge Graph

86 nodes / 405 edges

smol-ai/developer ↔ agentscope-ai/agentscopeUse agentscope-ai/agentscope when the user needs an agent framework project with docker, library-only, local deployment options.

smol-ai/developer ↔ omnigent-ai/omnigentUse omnigent-ai/omnigent when the user needs an agent framework project with docker, kubernetes, serverless deployment options.

smol-ai/developer ↔ Significant-Gravitas/AutoGPTUse Significant-Gravitas/AutoGPT when the user needs an agent framework project with docker, library-only, local deployment options.

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

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

smol-ai/developer ↔ The-PR-Agent/pr-agentUse The-PR-Agent/pr-agent when the user needs an agent framework project with docker, library-only, local deployment options.

Alternatives Network

Replacement candidates

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

smol-ai/developer ↔ crewAIInc/crewAIUse crewAIInc/crewAI when the user needs an agent framework project with local, cloud deployment options.

smol-ai/developer ↔ livekit/agentsUse livekit/agents when the user needs an agent framework project with library-only, local, cloud deployment options.

smol-ai/developer ↔ agentscope-ai/agentscopeUse agentscope-ai/agentscope when the user needs an agent framework project with docker, library-only, local deployment options.

smol-ai/developer ↔ pipecat-ai/pipecatUse pipecat-ai/pipecat when the user needs an agent framework project with local, cloud deployment options.

smol-ai/developer ↔ omnigent-ai/omnigentUse omnigent-ai/omnigent when the user needs an agent framework project with docker, kubernetes, serverless deployment options.

Migration Paths

What to verify before switching

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

smol-ai/developer -> 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.

smol-ai/developer -> 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.

smol-ai/developer -> livekit/agentsCompatibility: 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