supermemoryai/opensearch-ai Graph

Graph Summary

supermemoryai/opensearch-ai graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 4 deployment targets, and 3 use cases.

Nodes69

Edges432

Projects51

Dependencies49

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

Alternatives3 linked signals Related8 linked signals Dependencies2 linked signals Deployments4 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

opensearch-ai

Maintainersupermemoryai

LicenseUnknown

LanguageTypeScript

Recent activityLast push 440 days ago

Deployment Targets

Dependencies

Knowledge Graph

69 nodes / 432 edges

supermemoryai/opensearch-ai ↔ NVIDIA/TensorRT-LLMUse NVIDIA/TensorRT-LLM when the user needs a rag framework project with docker, kubernetes, serverless deployment options.

supermemoryai/opensearch-ai ↔ simstudioai/simUse simstudioai/sim when the user needs a rag framework project with docker, vercel, serverless deployment options.

supermemoryai/opensearch-ai ↔ getzep/graphitiUse getzep/graphiti when the user needs a rag framework project with docker, serverless, library-only deployment options.

supermemoryai/opensearch-ai ↔ QuantumNous/new-apiUse QuantumNous/new-api when the user needs a rag framework project with docker, local, cloud deployment options.

supermemoryai/opensearch-ai ↔ huggingface/transformersUse huggingface/transformers when the user needs a rag framework project with library-only, local, cloud deployment options.

supermemoryai/opensearch-ai ↔ ggml-org/llama.cppUse ggml-org/llama.cpp when the user needs a rag framework project with docker, library-only, local deployment options.

Alternatives Network

Replacement candidates

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supermemoryai/opensearch-ai ↔ mem0ai/mem0Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.

supermemoryai/opensearch-ai ↔ simstudioai/simUse simstudioai/sim when the user needs a rag framework project with docker, vercel, serverless deployment options.

supermemoryai/opensearch-ai ↔ getzep/graphitiUse getzep/graphiti when the user needs a rag framework project with docker, serverless, library-only deployment options.

supermemoryai/opensearch-ai ↔ NVIDIA/TensorRT-LLMUse NVIDIA/TensorRT-LLM when the user needs a rag framework project with docker, kubernetes, serverless deployment options.

supermemoryai/opensearch-ai ↔ elizaOS/elizaUse elizaOS/eliza when the user needs a rag framework project with docker, local, cloud deployment options.

supermemoryai/opensearch-ai ↔ genkit-ai/genkitUse genkit-ai/genkit when the user needs a rag framework project with library-only, local, cloud deployment options.

Migration Paths

What to verify before switching

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

supermemoryai/opensearch-ai -> mem0ai/mem0Compatibility: medium / estimated cost: medium.Shared: category:rag_framework, deployment:serverless, deployment:vercel, deployment:local, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval, dependency:Vector database.Gaps: Deployment targets not listed by target: cloudflare. Language changes from TypeScript to Python.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.

supermemoryai/opensearch-ai -> supermemoryai/smfsCompatibility: 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.

supermemoryai/opensearch-ai -> microsoft/kernel-memoryCompatibility: 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.

Use Cases