MemOS vs llama_index
MemOS and llama_index share 41 technologies: psycopg2-binary, pymysql, Redis, SQLite, Neo4j, pymilvus, OpenAI, Alibaba Cloud, anyio, starlette, MCP, soupsieve, Rich, SQLAlchemy, cryptography, pyjwt, nltk, tavily-python, tokenizers, scikit-learn, torch, transformers, LangChain, Ollama, chonkie, sentence-transformers, beautifulsoup4, defusedxml, jinja2, lxml, markdownify, markupsafe, xlrd, markitdown, pillow, annotated-types, jsonschema, jsonschema-specifications, referencing, Pydantic, and prometheus-client. MemOS is written in TypeScript and llama_index in Python.
What they share and what sets them apart
MemOS
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
TypeScript12.4kRead on November 11, 2026, at commit 3a16e5fWhat is MemOS built with?Only in MemOS
- FastAPI
uvicorn
- diskcache
- py-key-value-aio
- Postgres
pika
- Qdrant
fastmcp
- Preact
@deepseek-ai/dsh-session
@deepseek-ai/cordis
- Vite
- React
react-router-dom
- electron-store
- Electron
- Express
- Hono
- rich-toolkit
authlib
itsdangerous
- keyring
- langsmith
- NVIDIA
- nvidia-cudnn-cu12
- onnxruntime
safetensors
- triton
- Hugging Face
- rank-bm25
- docutils
et-xmlfile
- magika
- mammoth
markdown-it-py
- mdurl
- openpyxl
pdfminer-six
- python-pptx
rich-rst
- xlsxwriter
beartype
- email-validator
- jsonschema-path
- openapi-pydantic
- pathvalidate
- coloredlogs
- concurrent-log-handler
fastapi-cloud-cli
- volcengine-python-sdk
@sinclair/typebox
deepseek-ai
yaml
@deepseek-ai/schemastery
- Tailwind CSS
class-variance-authority
- Radix UI
- Framer
- Lucide
@aws-sdk/credential-providers
@aws-sdk/client-bedrock
- react-markdown
- Zod
@hono/node-server
In common
psycopg2-binary
- pymysql
- Redis
- SQLite
- Neo4j
- pymilvus
OpenAI- Alibaba Cloud
- anyio
starlette
- MCP
- soupsieve
- Rich
- SQLAlchemy
- cryptography
- pyjwt
nltk
- tavily-python
tokenizers
- scikit-learn
- torch
- transformers
- LangChain
- Ollama
chonkie
sentence-transformers
- beautifulsoup4
- defusedxml
- jinja2
lxml
- markdownify
markupsafe
- xlrd
- markitdown
pillow
- annotated-types
- jsonschema
- jsonschema-specifications
- referencing
- Pydantic
prometheus-client
llama_index
LlamaIndex is the document processing platform for AI
Python52.9kRead on November 10, 2026, at commit fe107aaWhat is llama_index built with?Only in llama_index
- aiomysql
- aiosqlite
- async-lru
- asyncpg
- azure-cosmos
- azure-data-tables
- azure-search-documents
- azure-storage-blob
- ibm-db
- nebula3-python
- oss2
pgml
- pgvecto-rs
pgvector
pickleshare
psycopg
pyathena
- pydrive
- pylance
- pymongo
python-arango
pyvespa
- pyzmq
snowflake-sqlalchemy
- tantivy
weaviate-client
- aioboto3
pyarrow
lancedb
oracledb
- DuckDB
- pysolr
- tablestore
- aperturedb
- astrapy
chromadb
- dashvector
falkordb
- jaguardb-http-client
- MySQL
pinecone
clickhouse-connect
- couchdb3
- gcsfs
opendal
- pyairtable
pyiceberg
pymochow
- pyobvector
- s3fs
- tcvectordb
typesense
- ElevenLabs
- graphql-core
- jupyter-core
jupyterlab-server
tornado
- AIOHTTP
- Ray
jupyterlab-pygments
- tinycss2
- ipywidgets
- jupyter-server-terminals
- jupyterlab-widgets
- matplotlib-inline
prompt-toolkit
- widgetsnbextension
matplotlib
- argon2-cffi
- argon2-cffi-bindings
- azure-identity
Googlegoogle-auth-httplib2
google-auth-oauthlib
- msal
- argilla
- azure-ai-agents
- azure-ai-inference
- azure-ai-projects
contextual-client
- diff-cover
- einops
firecrawl-py
friendli-client
- guardrails-ai
llama-cpp-python
llama-index-core
- llama-index-embeddings-dashscope
- llama-index-embeddings-huggingface
- llama-index-embeddings-openai
- llama-index-llms-anthropic
- llama-index-llms-azure-openai
- llama-index-llms-huggingface
- llama-index-llms-llama-cpp
- llama-index-llms-openai
- llama-index-llms-openai-like
- llama-index-node-parser-dashscope
- llama-index-program-guidance
- llama-index-readers-dashscope
- llama-index-readers-database
- llama-index-readers-remote
- llama-index-readers-upstage
- llama-index-readers-web
- llama-index-response-synthesizers-google
- llama-index-utils-azure
- llama-index-utils-huggingface
- llama-index-utils-qianfan
- llama-index-vector-stores-google
- llama-index-workflows
- mem0ai
- ms-swift
- open-clip-torch
opencv-python
- openinference-instrumentation-llama-index
- openvino-tokenizers
- PaddlePaddle
portkey-ai
- reka-api
llama-index-instrumentation
- ibm-watsonx-ai
cohere
- tiktoken
dashscope
- fastembed
- flagembedding
- llama-cloud
optimum-intel
- sentencepiece
- ai21
aleph-alpha-client
- gigachat
- guidance
igptai
- konko
litellm
- mixedbread
- ModelScope
- octoai
- openvino
- openvino-genai
premai
- tritonclient
- vLLM
voyageai
- zep-python
- zhipuai
- agent-search
- aimon
argilla-llama-index
assemblyai
- bm25s
browserbase
cleanlab-tlm
cognee
- colpali-engine
- datasets
- exa-py
flashrank
- hnswlib
honeyhive
- instructorembedding
isaacus
langfuse
llmlingua
- llmsherpa
- marvin
mlx
- mlx-lm
nomic
notdiamond
optimum
optimum-habana
- paddleocr
peft
presidio-analyzer
presidio-anonymizer
promptlayer
- psychicapi
- pydi-client
- rank-llm
- span-marker
- superlinked
uptrain
vectorize-client
videodb
- bleach
camelot-py
- ghostscript
- llama-index-readers-file
- llama-index-readers-youtube-transcript
- maincontentextractor
marker-pdf
mistune
- nbformat
- newspaper3k
nougat-ocr
- pandocfilters
webencodings
- bs4
- html2text
unstructured
pymupdf
- filetype
- bagel
- docx2txt
olefile
- pytesseract
dgml-utils
docling
- layoutir
- llama-parse
- lxml-html-clean
- nbconvert
- pdf2image
- pdfplumber
pypdf
pypdf2
- striprtf
- svglib
- tika
tinytag
- youtube-transcript-api
- fastjsonschema
- fqdn
marshmallow
- rfc3339-validator
- rfc3986-validator
docling-core
- pydantic-core
- opentelemetry-api
opentelemetry-semantic-conventions
psutil
- python-json-logger
- boto3
- docker
- oci
- OpenTelemetry
Side by side
Frequently asked questions
Which is bigger, MemOS or llama_index?
Which has more GitHub stars, MemOS or llama_index?
The proof: run-llama/llama_index on GitHub
Which has more tests, MemOS or llama_index?
Which was updated more recently, MemOS or llama_index?
The proof: MemTensor/MemOS's commits on GitHub
Which has more commits signed by AI, MemOS or llama_index?
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