{
  lib,
  python3,
  fetchFromGitHub,
}:
python3.pkgs.buildPythonPackage rec {
  pname = "mem0ai";
  version = "1.0.0";
  pyproject = true;

  src = fetchFromGitHub {
    owner = "mem0ai";
    repo = "mem0";
    rev = "v${version}";
    hash = "sha256-DluzIhwL/GanqtRSMW7ax+OVc2kZjbwQ0lpPCQFnD58=";
  };

  # Relax Python dependency version constraints
  # mem0 has strict version pins that may not match nixpkgs versions
  pythonRelaxDeps = true;

  build-system = with python3.pkgs; [
    hatchling
  ];

  dependencies = with python3.pkgs; [
    litellm
    qdrant-client
    pydantic
    openai
    posthog
    pytz
    sqlalchemy
    protobuf
    uvicorn
    fastapi
  ];

  optional-dependencies = with python3.pkgs; {
    graph = [
      # Note: some graph dependencies may not be available in nixpkgs
      # neo4j is available, others will need to be packaged separately
    ];
    vector_stores = [
      # chromadb  # available in nixpkgs
      # pinecone-client  # may need packaging
      # weaviate-client  # may need packaging
      # faiss  # available as faiss-cpu
      psycopg
      pymongo
      pymysql
      redis
      elasticsearch
    ];
    llms = [
      groq
      openai
      # together  # may need packaging
      # litellm  # may need packaging
      # ollama  # may need packaging
      # google-generativeai  # may need packaging
    ];
    extras = [
      boto3
      # langchain-community  # may need packaging
      # sentence-transformers  # may need packaging
      elasticsearch
      # fastembed  # may need packaging
    ];
  };

  # Skip tests for now since they require additional test dependencies
  doCheck = false;

  # Disable imports check because mem0 tries to create directories at import time
  # which fails in the Nix sandbox (/homeless-shelter)
  pythonImportsCheck = [];

  postInstall = ''
    install -Dm755 ${./server.py} $out/bin/mem0-server
  '';

  meta = with lib; {
    description = "Long-term memory layer for AI agents with REST API support";
    longDescription = ''
      Mem0 provides a sophisticated memory layer for AI applications, offering:
      - Memory management for AI agents (add, search, update, delete)
      - REST API server for easy integration
      - Support for multiple vector storage backends (Qdrant, Chroma, etc.)
      - Graph memory capabilities
      - Multi-modal support
      - Configurable LLM and embedding models
    '';
    homepage = "https://github.com/mem0ai/mem0";
    changelog = "https://github.com/mem0ai/mem0/releases/tag/v${version}";
    license = licenses.asl20;
    platforms = platforms.linux;
  };
}