repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/utils/prompts.py | openmemory/api/app/utils/prompts.py | MEMORY_CATEGORIZATION_PROMPT = """Your task is to assign each piece of information (or “memory”) to one or more of the following categories. Feel free to use multiple categories per item when appropriate.
- Personal: family, friends, home, hobbies, lifestyle
- Relationships: social network, significant others, colleag... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/utils/permissions.py | openmemory/api/app/utils/permissions.py | from typing import Optional
from uuid import UUID
from app.models import App, Memory, MemoryState
from sqlalchemy.orm import Session
def check_memory_access_permissions(
db: Session,
memory: Memory,
app_id: Optional[UUID] = None
) -> bool:
"""
Check if the given app has permission to access a mem... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/utils/memory.py | openmemory/api/app/utils/memory.py | """
Memory client utilities for OpenMemory.
This module provides functionality to initialize and manage the Mem0 memory client
with automatic configuration management and Docker environment support.
Docker Ollama Configuration:
When running inside a Docker container and using Ollama as the LLM or embedder provider,
t... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/utils/db.py | openmemory/api/app/utils/db.py | from typing import Tuple
from app.models import App, User
from sqlalchemy.orm import Session
def get_or_create_user(db: Session, user_id: str) -> User:
"""Get or create a user with the given user_id"""
user = db.query(User).filter(User.user_id == user_id).first()
if not user:
user = User(user_id=... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/utils/categorization.py | openmemory/api/app/utils/categorization.py | import logging
from typing import List
from app.utils.prompts import MEMORY_CATEGORIZATION_PROMPT
from dotenv import load_dotenv
from openai import OpenAI
from pydantic import BaseModel
from tenacity import retry, stop_after_attempt, wait_exponential
load_dotenv()
openai_client = OpenAI()
class MemoryCategories(Bas... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/utils/__init__.py | openmemory/api/app/utils/__init__.py | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false | |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/routers/config.py | openmemory/api/app/routers/config.py | from typing import Any, Dict, Optional
from app.database import get_db
from app.models import Config as ConfigModel
from app.utils.memory import reset_memory_client
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
router = APIRouter(prefix=... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/routers/__init__.py | openmemory/api/app/routers/__init__.py | from .apps import router as apps_router
from .backup import router as backup_router
from .config import router as config_router
from .memories import router as memories_router
from .stats import router as stats_router
__all__ = ["memories_router", "apps_router", "stats_router", "config_router", "backup_router"]
| python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/routers/memories.py | openmemory/api/app/routers/memories.py | import logging
from datetime import UTC, datetime
from typing import List, Optional, Set
from uuid import UUID
from app.database import get_db
from app.models import (
AccessControl,
App,
Category,
Memory,
MemoryAccessLog,
MemoryState,
MemoryStatusHistory,
User,
)
from app.schemas impor... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/routers/apps.py | openmemory/api/app/routers/apps.py | from typing import Optional
from uuid import UUID
from app.database import get_db
from app.models import App, Memory, MemoryAccessLog, MemoryState
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy import desc, func
from sqlalchemy.orm import Session, joinedload
router = APIRouter(prefix="/a... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/routers/backup.py | openmemory/api/app/routers/backup.py | from datetime import UTC, datetime
import io
import json
import gzip
import zipfile
from typing import Optional, List, Dict, Any
from uuid import UUID
from fastapi import APIRouter, Depends, HTTPException, UploadFile, File, Query, Form
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
f... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/app/routers/stats.py | openmemory/api/app/routers/stats.py | from app.database import get_db
from app.models import App, Memory, MemoryState, User
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
router = APIRouter(prefix="/api/v1/stats", tags=["stats"])
@router.get("/")
async def get_profile(
user_id: str,
db: Session = Depends(... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/alembic/env.py | openmemory/api/alembic/env.py | import os
import sys
from logging.config import fileConfig
from alembic import context
from dotenv import load_dotenv
from sqlalchemy import engine_from_config, pool
# Add the parent directory to the Python path
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
# Load environment variables... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/alembic/versions/afd00efbd06b_add_unique_user_id_constraints.py | openmemory/api/alembic/versions/afd00efbd06b_add_unique_user_id_constraints.py | """remove_global_unique_constraint_on_app_name_add_composite_unique
Revision ID: afd00efbd06b
Revises: add_config_table
Create Date: 2025-06-04 01:59:41.637440
"""
from typing import Sequence, Union
from alembic import op
# revision identifiers, used by Alembic.
revision: str = 'afd00efbd06b'
down_revision: Union[s... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/alembic/versions/add_config_table.py | openmemory/api/alembic/versions/add_config_table.py | """add_config_table
Revision ID: add_config_table
Revises: 0b53c747049a
Create Date: 2023-06-01 10:00:00.000000
"""
import uuid
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = 'add_config_table'
down_revision = '0b53c747049a'
branch_labels = None
depends_on = None
... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/openmemory/api/alembic/versions/0b53c747049a_initial_migration.py | openmemory/api/alembic/versions/0b53c747049a_initial_migration.py | """Initial migration
Revision ID: 0b53c747049a
Revises:
Create Date: 2025-04-19 00:59:56.244203
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = '0b53c747049a'
down_revision: Union[str, None] = None
branch_labels: Union[s... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/personal_assistant_agno.py | examples/misc/personal_assistant_agno.py | """
Create your personal AI Assistant powered by memory that supports both text and images and remembers your preferences
In order to run this file, you need to set up your Mem0 API at Mem0 platform and also need a OpenAI API key.
export OPENAI_API_KEY="your_openai_api_key"
export MEM0_API_KEY="your_mem0_api_key"
"""
... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/voice_assistant_elevenlabs.py | examples/misc/voice_assistant_elevenlabs.py | """
Personal Voice Assistant with Memory (Whisper + CrewAI + Mem0 + ElevenLabs)
This script creates a personalized AI assistant that can:
- Understand voice commands using Whisper (OpenAI STT)
- Respond intelligently using CrewAI Agent and LLMs
- Remember user preferences and facts using Mem0 memory
- Speak responses b... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/vllm_example.py | examples/misc/vllm_example.py | """
Example of using vLLM with mem0 for high-performance memory operations.
SETUP INSTRUCTIONS:
1. Install vLLM:
pip install vllm
2. Start vLLM server (in a separate terminal):
vllm serve microsoft/DialoGPT-small --port 8000
Wait for the message: "Uvicorn running on http://0.0.0.0:8000"
(Small model: ~50... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/personalized_search.py | examples/misc/personalized_search.py | """
Personalized Search Agent with Mem0 + Tavily
Uses LangChain agent pattern with Tavily tools for personalized search based on user memories stored in Mem0.
"""
from dotenv import load_dotenv
from mem0 import MemoryClient
from langchain.agents import create_openai_tools_agent, AgentExecutor
from langchain_core.promp... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/strands_agent_aws_elasticache_neptune.py | examples/misc/strands_agent_aws_elasticache_neptune.py |
"""
GitHub Repository Research Agent with Persistent Memory
This example demonstrates how to build an AI agent with persistent memory using:
- Mem0 for memory orchestration and lifecycle management
- Amazon ElastiCache for Valkey for high-performance vector similarity search
- Amazon Neptune Analytics for graph-based... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/fitness_checker.py | examples/misc/fitness_checker.py | """
Simple Fitness Memory Tracker that tracks your fitness progress and knows your health priorities.
Uses Mem0 for memory and gpt-4.1-nano for image understanding.
In order to run this file, you need to set up your Mem0 API at Mem0 platform and also need an OpenAI API key.
export OPENAI_API_KEY="your_openai_api_key"
... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/study_buddy.py | examples/misc/study_buddy.py | """
Create your personal AI Study Buddy that remembers what you’ve studied (and where you struggled),
helps with spaced repetition and topic review, personalizes responses using your past interactions.
Supports both text and PDF/image inputs.
In order to run this file, you need to set up your Mem0 API at Mem0 platfor... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/movie_recommendation_grok3.py | examples/misc/movie_recommendation_grok3.py | """
Memory-Powered Movie Recommendation Assistant (Grok 3 + Mem0)
This script builds a personalized movie recommender that remembers your preferences
(e.g. dislikes horror, loves romcoms) using Mem0 as a memory layer and Grok 3 for responses.
In order to run this file, you need to set up your Mem0 API at Mem0 platform... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/healthcare_assistant_google_adk.py | examples/misc/healthcare_assistant_google_adk.py | import asyncio
import warnings
from google.adk.agents import Agent
from google.adk.runners import Runner
from google.adk.sessions import InMemorySessionService
from google.genai import types
from mem0 import MemoryClient
warnings.filterwarnings("ignore", category=DeprecationWarning)
# Initialize Mem0 client
mem0_c... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/multillm_memory.py | examples/misc/multillm_memory.py | """
Multi-LLM Research Team with Shared Knowledge Base
Use Case: AI Research Team where each model has different strengths:
- GPT-4: Technical analysis and code review
- Claude: Writing and documentation
All models share a common knowledge base, building on each other's work.
Example: GPT-4 analyzes a tech stack → Cl... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/diet_assistant_voice_cartesia.py | examples/misc/diet_assistant_voice_cartesia.py | """Simple Voice Agent with Memory: Personal Food Assistant.
A food assistant that remembers your dietary preferences and speaks recommendations
Powered by Agno + Cartesia + Mem0
export MEM0_API_KEY=your_mem0_api_key
export OPENAI_API_KEY=your_openai_api_key
export CARTESIA_API_KEY=your_cartesia_api_key
"""
from textw... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/misc/test.py | examples/misc/test.py | from agents import Agent, Runner, enable_verbose_stdout_logging, function_tool
from dotenv import load_dotenv
from mem0 import MemoryClient
enable_verbose_stdout_logging()
load_dotenv()
# Initialize Mem0 client
mem0 = MemoryClient()
# Define memory tools for the agent
@function_tool
def search_memory(query: str, ... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/examples/multiagents/llamaindex_learning_system.py | examples/multiagents/llamaindex_learning_system.py | """
Multi-Agent Personal Learning System: Mem0 + LlamaIndex AgentWorkflow Example
INSTALLATIONS:
!pip install llama-index-core llama-index-memory-mem0 openai
You need MEM0_API_KEY and OPENAI_API_KEY to run the example.
"""
import asyncio
import logging
from datetime import datetime
from dotenv import load_dotenv
#... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/server/main.py | server/main.py | import logging
import os
from typing import Any, Dict, List, Optional
from dotenv import load_dotenv
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse, RedirectResponse
from pydantic import BaseModel, Field
from mem0 import Memory
logging.basicConfig(level=logging.INFO, format="%(... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/cookbooks/helper/mem0_teachability.py | cookbooks/helper/mem0_teachability.py | # Copyright (c) 2023 - 2024, Owners of https://github.com/autogen-ai
#
# SPDX-License-Identifier: Apache-2.0
#
# Portions derived from https://github.com/microsoft/autogen are under the MIT License.
# SPDX-License-Identifier: MIT
# forked from autogen.agentchat.contrib.capabilities.teachability.Teachability
from typi... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/cookbooks/helper/__init__.py | cookbooks/helper/__init__.py | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false | |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/prompts.py | evaluation/prompts.py | ANSWER_PROMPT_GRAPH = """
You are an intelligent memory assistant tasked with retrieving accurate information from
conversation memories.
# CONTEXT:
You have access to memories from two speakers in a conversation. These memories contain
timestamped information that may be relevant to answering th... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/generate_scores.py | evaluation/generate_scores.py | import json
import pandas as pd
# Load the evaluation metrics data
with open("evaluation_metrics.json", "r") as f:
data = json.load(f)
# Flatten the data into a list of question items
all_items = []
for key in data:
all_items.extend(data[key])
# Convert to DataFrame
df = pd.DataFrame(all_items)
# Convert c... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/run_experiments.py | evaluation/run_experiments.py | import argparse
import os
from src.langmem import LangMemManager
from src.memzero.add import MemoryADD
from src.memzero.search import MemorySearch
from src.openai.predict import OpenAIPredict
from src.rag import RAGManager
from src.utils import METHODS, TECHNIQUES
from src.zep.add import ZepAdd
from src.zep.search imp... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/evals.py | evaluation/evals.py | import argparse
import concurrent.futures
import json
import threading
from collections import defaultdict
from metrics.llm_judge import evaluate_llm_judge
from metrics.utils import calculate_bleu_scores, calculate_metrics
from tqdm import tqdm
def process_item(item_data):
k, v = item_data
local_results = de... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/src/langmem.py | evaluation/src/langmem.py | import json
import multiprocessing as mp
import os
import time
from collections import defaultdict
from dotenv import load_dotenv
from jinja2 import Template
from langgraph.checkpoint.memory import MemorySaver
from langgraph.prebuilt import create_react_agent
from langgraph.store.memory import InMemoryStore
from langg... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/src/utils.py | evaluation/src/utils.py | TECHNIQUES = ["mem0", "rag", "langmem", "zep", "openai"]
METHODS = ["add", "search"]
| python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/src/rag.py | evaluation/src/rag.py | import json
import os
import time
from collections import defaultdict
import numpy as np
import tiktoken
from dotenv import load_dotenv
from jinja2 import Template
from openai import OpenAI
from tqdm import tqdm
load_dotenv()
PROMPT = """
# Question:
{{QUESTION}}
# Context:
{{CONTEXT}}
# Short answer:
"""
clas... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/src/openai/predict.py | evaluation/src/openai/predict.py | import argparse
import json
import os
import time
from collections import defaultdict
from dotenv import load_dotenv
from jinja2 import Template
from openai import OpenAI
from tqdm import tqdm
load_dotenv()
ANSWER_PROMPT = """
You are an intelligent memory assistant tasked with retrieving accurate information f... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/src/zep/search.py | evaluation/src/zep/search.py | import argparse
import json
import os
import time
from collections import defaultdict
from dotenv import load_dotenv
from jinja2 import Template
from openai import OpenAI
from prompts import ANSWER_PROMPT_ZEP
from tqdm import tqdm
from zep_cloud import EntityEdge, EntityNode
from zep_cloud.client import Zep
load_dote... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/src/zep/add.py | evaluation/src/zep/add.py | import argparse
import json
import os
from dotenv import load_dotenv
from tqdm import tqdm
from zep_cloud import Message
from zep_cloud.client import Zep
load_dotenv()
class ZepAdd:
def __init__(self, data_path=None):
self.zep_client = Zep(api_key=os.getenv("ZEP_API_KEY"))
self.data_path = data_... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/src/memzero/search.py | evaluation/src/memzero/search.py | import json
import os
import time
from collections import defaultdict
from concurrent.futures import ThreadPoolExecutor
from dotenv import load_dotenv
from jinja2 import Template
from openai import OpenAI
from prompts import ANSWER_PROMPT, ANSWER_PROMPT_GRAPH
from tqdm import tqdm
from mem0 import MemoryClient
load_... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/src/memzero/add.py | evaluation/src/memzero/add.py | import json
import os
import threading
import time
from concurrent.futures import ThreadPoolExecutor
from dotenv import load_dotenv
from tqdm import tqdm
from mem0 import MemoryClient
load_dotenv()
# Update custom instructions
custom_instructions = """
Generate personal memories that follow these guidelines:
1. E... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/metrics/llm_judge.py | evaluation/metrics/llm_judge.py | import argparse
import json
from collections import defaultdict
import numpy as np
from openai import OpenAI
from mem0.memory.utils import extract_json
client = OpenAI()
ACCURACY_PROMPT = """
Your task is to label an answer to a question as ’CORRECT’ or ’WRONG’. You will be given the following data:
(1) a quest... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
mem0ai/mem0 | https://github.com/mem0ai/mem0/blob/69a552d8a85637452ea20382a6ac3991fd6d60b3/evaluation/metrics/utils.py | evaluation/metrics/utils.py | """
Borrowed from https://github.com/WujiangXu/AgenticMemory/blob/main/utils.py
@article{xu2025mem,
title={A-mem: Agentic memory for llm agents},
author={Xu, Wujiang and Liang, Zujie and Mei, Kai and Gao, Hang and Tan, Juntao
and Zhang, Yongfeng},
journal={arXiv preprint arXiv:2502.12110},
y... | python | Apache-2.0 | 69a552d8a85637452ea20382a6ac3991fd6d60b3 | 2026-01-04T14:39:42.142319Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/setup.py | setup.py | from setuptools import setup, find_packages
import d2l
requirements = [
'jupyter==1.0.0',
'numpy==1.21.5',
'matplotlib==3.5.1',
'requests==2.25.1',
'pandas==1.2.4'
]
setup(
name='d2l',
version=d2l.__version__,
python_requires='>=3.5',
author='D2L Developers',
author_email='d2l.... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/static/post_latex/main.py | static/post_latex/main.py | import os
import re
import regex
import sys
def _unnumber_chaps_and_secs(lines):
def _startswith_unnumbered(l):
UNNUMBERED = {'\\section{小结',
'\\section{练习',
'\\subsection{小结',
'\\subsection{练习'}
for unnum in UNNUMBERED:
... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/ci/submit-job.py | ci/submit-job.py | import argparse
import random
import os
import re
import sys
import time
from datetime import datetime
import boto3
from botocore.compat import total_seconds
from botocore.config import Config
job_type_info = {
'ci-cpu': {
'job_definition': 'd2l-ci-cpu-builder:2',
'job_queue': 'D2L-CI-CPU'
},... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/ci/docker/print_versions.py | ci/docker/print_versions.py | import os
import sys
if len(sys.argv) > 1:
framework_name = sys.argv[1]
else:
# Assume using d2l-builder docker container
# Here all the frameworks are installed and no CUDA support
framework_name = None
print("*"*10, "D2L Framework Version Details", "*"*10)
if framework_name:
# Print CUDA version
print("nvcc ... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/contrib/to-rm-mx-contrib-text/d2lzh/utils.py | contrib/to-rm-mx-contrib-text/d2lzh/utils.py | import collections
from d2lzh import text
import math
import os
import random
import sys
import tarfile
import time
import zipfile
from IPython import display
from matplotlib import pyplot as plt
import mxnet as mx
from mxnet import autograd, gluon, image, init, nd
from mxnet.gluon import data as gdata, loss as gloss,... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/contrib/to-rm-mx-contrib-text/d2lzh/__init__.py | contrib/to-rm-mx-contrib-text/d2lzh/__init__.py | from . import text
from .utils import *
__version__ = '1.0.0'
| python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/contrib/to-rm-mx-contrib-text/d2lzh/text/vocab.py | contrib/to-rm-mx-contrib-text/d2lzh/text/vocab.py | class Vocabulary:
def __init__(self, counter, min_freq=0, reserved_tokens=None):
if reserved_tokens is None:
reserved_tokens = []
# Sort according to frequencies
self.token_freqs = sorted(counter.items(), key=lambda x: x[0])
self.token_freqs.sort(key=lambda x: x[1], rever... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/contrib/to-rm-mx-contrib-text/d2lzh/text/__init__.py | contrib/to-rm-mx-contrib-text/d2lzh/text/__init__.py | from . import vocab
from . import embedding | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/contrib/to-rm-mx-contrib-text/d2lzh/text/embedding.py | contrib/to-rm-mx-contrib-text/d2lzh/text/embedding.py | import os
from mxnet import nd, gluon
import tarfile
import zipfile
DATA_URL = 'http://d2l-data.s3-accelerate.amazonaws.com/'
PRETRAINED_FILE = {
'glove':{},
'fasttext':{}
}
PRETRAINED_FILE['glove']['glove.6b.50d.txt'] = (DATA_URL + 'glove.6B.50d.zip',
'0b8703943... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/d2l/tensorflow.py | d2l/tensorflow.py | DATA_HUB = dict()
DATA_URL = 'http://d2l-data.s3-accelerate.amazonaws.com/'
import numpy as np
import tensorflow as tf
nn_Module = tf.keras.Model
################# WARNING ################
# The below part is generated automatically through:
# d2lbook build lib
# Don't edit it directly
import collections
imp... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | true |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/d2l/mxnet.py | d2l/mxnet.py | USE_MXNET = True
USE_PYTORCH = False
USE_TENSORFLOW = False
DATA_HUB = dict()
DATA_URL = 'http://d2l-data.s3-accelerate.amazonaws.com/'
from mxnet import autograd, context, gluon, image, init, np, npx
from mxnet.gluon import nn, rnn
from mxnet.gluon.data.vision import transforms
nn_Module = nn.Block
###############... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | true |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/d2l/paddle.py | d2l/paddle.py | ################# WARNING ################
# The below part is generated automatically through:
# d2lbook build lib
# Don't edit it directly
import collections
import hashlib
import math
import os
import random
import re
import shutil
import sys
import tarfile
import time
import zipfile
from collections import ... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | true |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/d2l/__init__.py | d2l/__init__.py | """Saved source code for "Dive into Deep Learing" (https://d2l.ai).
Please import d2l by one of the following ways:
from d2l import mxnet as d2l # Use MXNet as the backend
from d2l import torch as d2l # Use PyTorch as the backend
from d2l import tensorflow as d2l # Use TensorFlow as the backend
from d2l import pad... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | false |
d2l-ai/d2l-zh | https://github.com/d2l-ai/d2l-zh/blob/e6b18ccea71451a55fcd861d7b96fddf2587b09a/d2l/torch.py | d2l/torch.py | DATA_HUB = dict()
DATA_URL = 'http://d2l-data.s3-accelerate.amazonaws.com/'
import numpy as np
import torch
import torchvision
from PIL import Image
from torch import nn
from torch.nn import functional as F
from torch.utils import data
from torchvision import transforms
nn_Module = nn.Module
################# WARN... | python | Apache-2.0 | e6b18ccea71451a55fcd861d7b96fddf2587b09a | 2026-01-04T14:38:16.201239Z | true |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/config.py | config.py | # fmt: off
#########################
# Application #
#########################
APP_NAME = "diagrams"
DIR_DOC_ROOT = "docs/nodes"
DIR_APP_ROOT = "diagrams"
DIR_RESOURCE = "resources"
DIR_TEMPLATE = "templates"
PROVIDERS = (
"base",
"onprem",
"aws",
"azure",
"digitalocean",
"gcp",
... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/scripts/generate.py | scripts/generate.py | import os
import sys
from typing import Iterable
from jinja2 import Environment, FileSystemLoader, Template, exceptions
import config as cfg
from . import app_root_dir, base_dir, doc_root_dir, resource_dir, template_dir
_usage = "Usage: generate.py <provider>"
def load_tmpl(tmpl: str) -> Template:
env = Envir... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/scripts/resource.py | scripts/resource.py | """
resources.py provides useful tools for resources processing.
There are 2 commands available.
- clean: clean and unify the resources file names with some rules.
- round: generate the rounded images from the original squared images.
"""
import os
import subprocess
import sys
import config as cfg
from . import res... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/scripts/__init__.py | scripts/__init__.py | import os
from pathlib import Path
import config as cfg
def base_dir() -> Path:
return Path(os.path.abspath(os.path.dirname(__file__))).parent
def app_root_dir(pvd: str) -> str:
return os.path.join(base_dir(), cfg.DIR_APP_ROOT, pvd)
def doc_root_dir() -> str:
return os.path.join(base_dir(), cfg.DIR_D... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/tests/test_c4.py | tests/test_c4.py | import os
import random
import string
import unittest
from diagrams import Diagram, setcluster, setdiagram
from diagrams.c4 import Container, Database, Person, Relationship, System, SystemBoundary
class C4Test(unittest.TestCase):
def setUp(self):
self.name = "diagram-" + \
"".join([random.cho... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/tests/test_diagram.py | tests/test_diagram.py | import os
import pathlib
import shutil
import unittest
from diagrams import Cluster, Diagram, Edge, Node, getcluster, getdiagram, setcluster, setdiagram
class DiagramTest(unittest.TestCase):
def setUp(self):
self.name = "diagram_test"
def tearDown(self):
setdiagram(None)
setcluster(N... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/tests/test_cli.py | tests/test_cli.py | import os
import unittest
from io import StringIO
from unittest.mock import mock_open, patch
from diagrams.cli import run
class CliTest(unittest.TestCase):
def setUp(self):
self.test_file = "test_diagram.py"
# dummy content for the test file
self.test_content_1 = """
from diagrams import ... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/tests/__init__.py | tests/__init__.py | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false | |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/cli.py | diagrams/cli.py | import argparse
import sys
def run() -> int:
"""
Run diagrams code files in a diagrams environment.
Args:
paths: A list of paths to Python files containing diagrams code.
Returns:
The exit code.
"""
parser = argparse.ArgumentParser(
description="Run diagrams code files... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/__init__.py | diagrams/__init__.py | import contextvars
import os
import uuid
from pathlib import Path
from typing import Dict, List, Optional, Union
from graphviz import Digraph
# Global contexts for a diagrams and a cluster.
#
# These global contexts are for letting the clusters and nodes know
# where context they are belong to. So the all clusters an... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/crm.py | diagrams/saas/crm.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Crm(_Saas):
_type = "crm"
_icon_dir = "resources/saas/crm"
class Intercom(_Crm):
_icon = "intercom.png"
class Zendesk(_Crm):
_icon = "zendesk.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/recommendation.py | diagrams/saas/recommendation.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Recommendation(_Saas):
_type = "recommendation"
_icon_dir = "resources/saas/recommendation"
class Recombee(_Recommendation):
_icon = "recombee.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/security.py | diagrams/saas/security.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Security(_Saas):
_type = "security"
_icon_dir = "resources/saas/security"
class Crowdstrike(_Security):
_icon = "crowdstrike.png"
class Sonarqube(_Security):
_icon = "sonarqube.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/automation.py | diagrams/saas/automation.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Automation(_Saas):
_type = "automation"
_icon_dir = "resources/saas/automation"
class N8N(_Automation):
_icon = "n8n.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/social.py | diagrams/saas/social.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Social(_Saas):
_type = "social"
_icon_dir = "resources/saas/social"
class Facebook(_Social):
_icon = "facebook.png"
class Twitter(_Social):
_icon = "twitter.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/identity.py | diagrams/saas/identity.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Identity(_Saas):
_type = "identity"
_icon_dir = "resources/saas/identity"
class Auth0(_Identity):
_icon = "auth0.png"
class Okta(_Identity):
_icon = "okta.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/chat.py | diagrams/saas/chat.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Chat(_Saas):
_type = "chat"
_icon_dir = "resources/saas/chat"
class Discord(_Chat):
_icon = "discord.png"
class Line(_Chat):
_icon = "line.png"
class Mattermost(_Chat):
_icon = "mattermost.png"
... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/payment.py | diagrams/saas/payment.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Payment(_Saas):
_type = "payment"
_icon_dir = "resources/saas/payment"
class Adyen(_Payment):
_icon = "adyen.png"
class AmazonPay(_Payment):
_icon = "amazon-pay.png"
class Paypal(_Payment):
_icon... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/analytics.py | diagrams/saas/analytics.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Analytics(_Saas):
_type = "analytics"
_icon_dir = "resources/saas/analytics"
class Dataform(_Analytics):
_icon = "dataform.png"
class Snowflake(_Analytics):
_icon = "snowflake.png"
class Stitch(_Anal... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/filesharing.py | diagrams/saas/filesharing.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Filesharing(_Saas):
_type = "filesharing"
_icon_dir = "resources/saas/filesharing"
class Nextcloud(_Filesharing):
_icon = "nextcloud.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/logging.py | diagrams/saas/logging.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Logging(_Saas):
_type = "logging"
_icon_dir = "resources/saas/logging"
class Datadog(_Logging):
_icon = "datadog.png"
class Newrelic(_Logging):
_icon = "newrelic.png"
class Papertrail(_Logging):
... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/__init__.py | diagrams/saas/__init__.py | """
Saas provides a set of general saas services.
"""
from diagrams import Node
class _Saas(Node):
_provider = "saas"
_icon_dir = "resources/saas"
fontcolor = "#ffffff"
class Saas(_Saas):
_icon = "saas.png"
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/media.py | diagrams/saas/media.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Media(_Saas):
_type = "media"
_icon_dir = "resources/saas/media"
class Cloudinary(_Media):
_icon = "cloudinary.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/alerting.py | diagrams/saas/alerting.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Alerting(_Saas):
_type = "alerting"
_icon_dir = "resources/saas/alerting"
class Newrelic(_Alerting):
_icon = "newrelic.png"
class Opsgenie(_Alerting):
_icon = "opsgenie.png"
class Pagerduty(_Alerting... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/cdn.py | diagrams/saas/cdn.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Cdn(_Saas):
_type = "cdn"
_icon_dir = "resources/saas/cdn"
class Akamai(_Cdn):
_icon = "akamai.png"
class Cloudflare(_Cdn):
_icon = "cloudflare.png"
class Fastly(_Cdn):
_icon = "fastly.png"
cla... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/saas/communication.py | diagrams/saas/communication.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Saas
class _Communication(_Saas):
_type = "communication"
_icon_dir = "resources/saas/communication"
class Twilio(_Communication):
_icon = "twilio.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/outscale/security.py | diagrams/outscale/security.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Outscale
class _Security(_Outscale):
_type = "security"
_icon_dir = "resources/outscale/security"
class Firewall(_Security):
_icon = "firewall.png"
class IdentityAndAccessManagement(_Security):
_icon = "identity-a... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/outscale/compute.py | diagrams/outscale/compute.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Outscale
class _Compute(_Outscale):
_type = "compute"
_icon_dir = "resources/outscale/compute"
class Compute(_Compute):
_icon = "compute.png"
class DirectConnect(_Compute):
_icon = "direct-connect.png"
# Aliases... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/outscale/storage.py | diagrams/outscale/storage.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Outscale
class _Storage(_Outscale):
_type = "storage"
_icon_dir = "resources/outscale/storage"
class SimpleStorageService(_Storage):
_icon = "simple-storage-service.png"
class Storage(_Storage):
_icon = "storage.p... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/outscale/network.py | diagrams/outscale/network.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Outscale
class _Network(_Outscale):
_type = "network"
_icon_dir = "resources/outscale/network"
class ClientVpn(_Network):
_icon = "client-vpn.png"
class InternetService(_Network):
_icon = "internet-service.png"
... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/outscale/__init__.py | diagrams/outscale/__init__.py | from diagrams import Node
class _Outscale(Node):
_provider = "outscale"
_icon_dir = "resources/outscale"
fontcolor = "#ffffff"
class Outscale(_Outscale):
_icon = "outscale.png"
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/custom/__init__.py | diagrams/custom/__init__.py | """
Custom provides the possibility of load an image to be presented as a node.
"""
from diagrams import Node
class Custom(Node):
_provider = "custom"
_type = "custom"
_icon_dir = None
fontcolor = "#ffffff"
def _load_icon(self):
return self._icon
def __init__(self, label, icon_path... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/generic/blank.py | diagrams/generic/blank.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Generic
class _Blank(_Generic):
_type = "blank"
_icon_dir = "resources/generic/blank"
class Blank(_Blank):
_icon = "blank.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/generic/compute.py | diagrams/generic/compute.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Generic
class _Compute(_Generic):
_type = "compute"
_icon_dir = "resources/generic/compute"
class Rack(_Compute):
_icon = "rack.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/generic/storage.py | diagrams/generic/storage.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Generic
class _Storage(_Generic):
_type = "storage"
_icon_dir = "resources/generic/storage"
class Storage(_Storage):
_icon = "storage.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/generic/network.py | diagrams/generic/network.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Generic
class _Network(_Generic):
_type = "network"
_icon_dir = "resources/generic/network"
class Firewall(_Network):
_icon = "firewall.png"
class Router(_Network):
_icon = "router.png"
class Subnet(_Network):
... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/generic/database.py | diagrams/generic/database.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Generic
class _Database(_Generic):
_type = "database"
_icon_dir = "resources/generic/database"
class SQL(_Database):
_icon = "sql.png"
# Aliases
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/generic/os.py | diagrams/generic/os.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Generic
class _Os(_Generic):
_type = "os"
_icon_dir = "resources/generic/os"
class Android(_Os):
_icon = "android.png"
class Centos(_Os):
_icon = "centos.png"
class Debian(_Os):
_icon = "debian.png"
class ... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/generic/__init__.py | diagrams/generic/__init__.py | """
Generic provides the possibility of load an image to be presented as a node.
"""
from diagrams import Node
class _Generic(Node):
provider = "generic"
_icon_dir = "resources/generic"
fontcolor = "#ffffff"
class Generic(_Generic):
_icon = "generic.png"
| python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
mingrammer/diagrams | https://github.com/mingrammer/diagrams/blob/072474aa2a7d24cd074b2e1a61d0b714c3daa945/diagrams/generic/virtualization.py | diagrams/generic/virtualization.py | # This module is automatically generated by autogen.sh. DO NOT EDIT.
from . import _Generic
class _Virtualization(_Generic):
_type = "virtualization"
_icon_dir = "resources/generic/virtualization"
class Qemu(_Virtualization):
_icon = "qemu.png"
class Virtualbox(_Virtualization):
_icon = "virtualb... | python | MIT | 072474aa2a7d24cd074b2e1a61d0b714c3daa945 | 2026-01-04T14:39:58.534150Z | false |
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