MemOS vs AutoGPT
MemOS and AutoGPT share 30 technologies: FastAPI, uvicorn, psycopg2-binary, pymysql, Redis, Postgres, pika, OpenAI, React, Rich, SQLAlchemy, cryptography, pyjwt, tavily-python, Ollama, rank-bm25, beautifulsoup4, jinja2, markdown-it-py, openpyxl, pillow, jsonschema, Pydantic, prometheus-client, Tailwind CSS, class-variance-authority, Radix UI, Framer, react-markdown, and Zod. MemOS is written in TypeScript and AutoGPT 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
- diskcache
- py-key-value-aio
- SQLite
- Neo4j
- pymilvus
- Alibaba Cloud
- Qdrant
- anyio
starlette
fastmcp
- Preact
@deepseek-ai/dsh-session
@deepseek-ai/cordis
- Vite
react-router-dom
- electron-store
- Electron
- MCP
- Express
- Hono
- soupsieve
- rich-toolkit
authlib
itsdangerous
- keyring
- langsmith
nltk
- NVIDIA
- nvidia-cudnn-cu12
- onnxruntime
safetensors
tokenizers
- triton
- scikit-learn
- torch
- transformers
- LangChain
chonkie
- Hugging Face
sentence-transformers
- defusedxml
- docutils
et-xmlfile
lxml
- magika
- mammoth
- markdownify
markupsafe
- mdurl
pdfminer-six
- python-pptx
rich-rst
- xlrd
- xlsxwriter
- markitdown
- annotated-types
beartype
- email-validator
- jsonschema-path
- jsonschema-specifications
- openapi-pydantic
- pathvalidate
- referencing
- coloredlogs
- concurrent-log-handler
fastapi-cloud-cli
- volcengine-python-sdk
@sinclair/typebox
deepseek-ai
yaml
@deepseek-ai/schemastery
- Lucide
@aws-sdk/credential-providers
@aws-sdk/client-bedrock
@hono/node-server
In common
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Python188kRead on November 12, 2026, at commit ac4e888What is AutoGPT built with?Only in AutoGPT
- pymssql
graphiti-core
- gcloud-aio-storage
falkordb
aio-pika
expiringdict
pinecone
pyarrow
- Stripe
- Anthropic
- Sentry
- Replicate
PostHog
- Todoist
Google- ElevenLabs
- Google Maps
- hypercorn
- AIOHTTP
- Next.js
dexie
prompt-toolkit
prisma
google-auth-oauthlib
- en-core-web-sm
firecrawl-py
- gtts
- mem0ai
- spaCy
- autogpt-libs
e2b
typesafe-sdk
- exa-py
e2b-code-interpreter
groq
langfuse
- tiktoken
stagehand
fpdf2
- pylatexenc
pypdf
- python-docx
- moviepy
- agentmail
- postmarker
- html2text
- bleach
feedparser
- gravitas-md2gdocs
- pypdfium2
- youtube-transcript-api
yt-dlp
- demjson3
- boto3
- docker
psutil
- prometheus-fastapi-instrumentator
geist
- next-themes
- PostCSS
tailwind-merge
- React Hook Form
sonner
recharts
- use-stick-to-bottom
- @tanstack/react-virtual
- canvas-confetti
vaul
@rjsf/core
- cmdk
- @ferrucc-io/emoji-picker
boring-avatars
embla-carousel-react
motion
- react-currency-input-field
react-day-picker
- react-force-graph-2d
react-window
hugeicons
- twemoji
kysely
- Better Auth
- bcryptjs
- jose
ai
@ai-sdk/react
remark-gfm
- streamdown
rehype-katex
shiki
- hast-util-sanitize
highlight.js
katex
- mdast-util-from-markdown
- mdast-util-gfm
micromark-extension-gfm
rehype-autolink-headings
rehype-highlight
rehype-slug
remark-math
rjsf
@hookform/resolvers
Side by side
Frequently asked questions
Which is bigger, MemOS or AutoGPT?
The proof: Significant-Gravitas/AutoGPT's code at commit ac4e888
Which has more GitHub stars, MemOS or AutoGPT?
The proof: Significant-Gravitas/AutoGPT on GitHub
Which has more tests, MemOS or AutoGPT?
The proof: Significant-Gravitas/AutoGPT's code at commit ac4e888
Which was updated more recently, MemOS or AutoGPT?
Which has more commits signed by AI, MemOS or AutoGPT?
The proof: the commits each tool signed in Significant-Gravitas/AutoGPT
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