microsoft/kernel-memory Graph

Graph Summary

microsoft/kernel-memory graph connects 3 alternatives, 8 related projects, 2 inferred dependencies, 5 deployment targets, and 3 use cases.

Nodes71

Edges433

Projects55

Dependencies49

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

Alternatives3 linked signals Related8 linked signals Dependencies2 linked signals Deployments5 linked signals Use Cases3 linked signals Categories28 linked signals Migrations3 linked signals

Project Context

kernel-memory

Maintainermicrosoft

LicenseMIT

LanguageC#

Recent activityLast push 103 days ago

Deployment Targets

Dependencies

Knowledge Graph

71 nodes / 433 edges

microsoft/kernel-memory ↔ getzep/graphitiUse getzep/graphiti when the user needs a rag framework project with docker, serverless, library-only deployment options.

microsoft/kernel-memory ↔ vespa-engine/vespaUse vespa-engine/vespa when the user needs a rag framework project with docker, library-only, local deployment options.

microsoft/kernel-memory ↔ mloda-ai/mlodaUse mloda-ai/mloda when the user needs a rag framework project with docker, library-only, local deployment options.

microsoft/kernel-memory ↔ run-llama/llama_indexUse run-llama/llama_index when the user needs a rag framework project with docker, library-only, local deployment options.

microsoft/kernel-memory ↔ NVIDIA/TensorRT-LLMUse NVIDIA/TensorRT-LLM when the user needs a rag framework project with docker, kubernetes, serverless deployment options.

microsoft/kernel-memory ↔ infiniflow/ragflowUse infiniflow/ragflow when the user needs a rag framework project with docker, library-only, local deployment options.

Alternatives Network

Replacement candidates

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microsoft/kernel-memory ↔ mem0ai/mem0Use mem0ai/mem0 when the user needs a rag framework project with docker, vercel, serverless deployment options.

microsoft/kernel-memory ↔ langchain-ai/langgraphUse langchain-ai/langgraph when the user needs a rag framework project with library-only, local, cloud deployment options.

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

microsoft/kernel-memory ↔ run-llama/llama_indexUse run-llama/llama_index when the user needs a rag framework project with docker, library-only, local deployment options.

microsoft/kernel-memory ↔ gptme/gptmeUse gptme/gptme when the user needs a rag framework project with docker, local, cloud deployment options.

microsoft/kernel-memory ↔ mloda-ai/mlodaUse mloda-ai/mloda when the user needs a rag 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.

microsoft/kernel-memory -> mem0ai/mem0Compatibility: medium / estimated cost: high.Shared: category:rag_framework, deployment:docker, deployment:serverless, deployment:library_only, deployment:local, use_case:build RAG applications, use_case:connect private data to LLMs, use_case:index documents for retrieval.Gaps: Deployment targets not listed by target: cloud. Language changes from C# to Python. 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.

microsoft/kernel-memory -> winstonkoh87/Athena-PublicCompatibility: 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.

microsoft/kernel-memory -> jaylfc/taosmdCompatibility: 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