Enables AI agents to manage and query a temporally-aware knowledge graph memory, supporting episode tracking, entity relationships, and semantic search via MCP tools.
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process.env. You'll be asked to provide them before it can run.SEMAPHORE_LIMIT— Episode processing concurrency. See [Concurrency and LLM Provider 429 Rate Limit Errors](#concurrency-and-llm-provider-429-rate-limit-errors)MODEL_NAME— OpenAI model name to use for LLM operations.SMALL_MODEL_NAME— OpenAI model name to use for smaller LLM operations.AZURE_OPENAI_ENDPOINT— Optional Azure OpenAI LLM endpoint URLAZURE_OPENAI_API_VERSION— Optional Azure OpenAI LLM API versionAZURE_OPENAI_DEPLOYMENT_NAME— Optional Azure OpenAI LLM deployment nameAZURE_OPENAI_USE_MANAGED_IDENTITY— Optional use Azure Managed Identities for authenticationOPENAI_API_KEY— OpenAI API key (required for LLM operations)LLM_TEMPERATURE— Temperature for LLM responses (0.0-2.0).EMBEDDER_MODEL_NAMEAZURE_OPENAI_EMBEDDING_ENDPOINT— Optional Azure OpenAI Embedding endpoint URLAZURE_OPENAI_EMBEDDING_API_VERSION— Optional Azure OpenAI API versionAZURE_OPENAI_EMBEDDING_API_KEY— Optional Azure OpenAI Embedding deployment key (if other than OPENAI_API_KEY)NEO4J_URI— URI for the Neo4j database (default: bolt://localhost:7687)NEO4J_USER— Neo4j username (default: neo4j)NEO4J_PASSWORD— Neo4j password (default: demodemo)MCP_SERVER_HOST[](https://m8ven.ai/mcp/mjunaidca-graphiti-memory-mcp-server-1clco1)