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What is MemoryBear built with?

MemoryBear is a Python repo built with FastAPI, Actix Web, uvicorn, Flask, werkzeug, and 8 more. It stores its data in Postgres, reaches it with SQLAlchemy and alembic, signs people in with authlib, bcrypt, ecdsa, itsdangerous, keyring, and 4 more, uses AI through crcmod, langchain-mcp-adapters, langfuse, langgraph-sdk, langsmith, and 19 more, makes its content with docutils, et-xmlfile, html5lib, mako, markdown-it-py, and 36 more, validates its data with annotated-types, demjson3, email-validator, jsonschema, jsonschema-path, and 6 more, is tested with Pytest and pytest-asyncio, deploys with Flower, OpenTelemetry, opentelemetry-semantic-conventions, volcengine-python-sdk, botocore, and 6 more, and uses amqp, asyncpg, psycopg, psycopg2-binary, py-key-value-aio, and 10 more. It has 773,759 written lines, with 48 test files.

Read on November 13, 2026, at commit 9ba1071. Read it as markdown

The card says what it's built with. Its whole map opens it up: every part of the code and how it connects to the rest.

Frontend

Styles 3

Interface 17

5 more

The base 3

Backend

The base 4

Data 14

2 more

Data access 2

Sign-in 9

AI 23

11 more

Services 3

Support

The base 6

Content 41

29 more

Validation 11

Testing 2

  • Pytest30 files
  • pytest-asyncio1 file

Deploy 11

Tools 14

  • click
  • cyclopts
  • pygments
  • typing-extensions2 files
  • packaging1 file
  • celery-types
  • click-didyoumean
  • click-plugins
  • click-repl
  • docstring-parser
  • mypy-extensions
  • pycparser
2 more
  • typing-inspect
  • watchfiles

Other 132

  • dayjs30 files
  • NumPy27 files
  • pyyaml15 files
  • trio15 files
  • networkx10 files
  • i18next9 files
  • pandas6 files
  • zustand6 files
  • pydantic-settings5 files
  • Axios3 files
  • rdflib2 files
  • websockets2 files
120 more
  • landlock1 file
  • Matter.js1 file
  • python-dateutil1 file
  • recordrtc1 file
  • aliyun-python-sdk-core
  • aliyun-python-sdk-kms
  • attrs
  • certifi
  • dnspython
  • googleapis-common-protos
  • joblib
  • opentelemetry-exporter-otlp-proto-common
  • platformdirs
  • portalocker
  • pycryptodome
  • requests-toolbelt
  • ruamel.yaml
  • tqdm
  • urllib3
  • wrapt
  • react-i18next392 files
  • clsx146 files
  • httpx73 files
  • requests28 files
  • copy-to-clipboard20 files
  • json-repair19 files
  • python-dotenv17 files
  • chardet7 files
  • libc5 files
  • serde_json5 files
  • xxhash5 files
  • aiofiles4 files
  • tenacity4 files
  • base643 files
  • deprecated3 files
  • serde3 files
  • strenum3 files
  • orjson2 files
  • pytz2 files
  • simpleeval2 files
  • async-channel1 file
  • billiard1 file
  • cachetools1 file
  • cn2an1 file
  • crypto-js1 file
  • editdistance1 file
  • jieba1 file
  • pyclipper1 file
  • rand1 file
  • shapely1 file
  • six1 file
  • subtle1 file
  • toml1 file
  • word2number1 file
  • aiofile
  • aiohappyeyeballs
  • aiosignal
  • async-timeout
  • backoff
  • blinker
  • caio
  • cffi
  • charset-normalizer
  • colorama
  • dataclasses-json
  • distro
  • exceptiongroup
  • frozenlist
  • greenlet
  • grpcio
  • grpcio-health-checking
  • h11
  • httpcore
  • httptools
  • httpx-sse
  • idna
  • importlib-metadata
  • jaraco-classes
  • jaraco-context
  • jaraco-functools
  • jeepney
  • jiter
  • jmespath
  • jsonpatch
  • jsonpointer
  • jsonref
  • more-itertools
  • multidict
  • ormsgpack
  • outcome
  • pathable
  • propcache
  • protobuf
  • pyasn1
  • pyparsing
  • pyperclip
  • python-multipart
  • pywin32
  • pywin32-ctypes
  • regex
  • rpds-py
  • rsa
  • s
  • secretstorage
  • sniffio
  • sortedcontainers
  • sse-starlette
  • tomli
  • typing-inspection
  • tzdata
  • uncalled-for
  • uuid
  • uuid-utils
  • uvloop
  • vine
  • wcwidth
  • websocket-client
  • yarl
  • zipp
  • zstandard

Other repos with a similar stack

Ordered by how much of its stack they share with MemoryBear, then by stars.

Frequently asked questions

What language is MemoryBear written in?
MemoryBear is written in Python, with 773,759 written lines.
What framework does MemoryBear use?
MemoryBear is built with FastAPI, Actix Web, uvicorn, Flask, werkzeug, starlette, AIOHTTP, Tokio, anyio, fastmcp, React, react-router-dom, and Vite.
What database does MemoryBear use?
MemoryBear stores its data in Postgres and reaches it with SQLAlchemy and alembic.

The proof: api/app/core/tools/builtin/database_tool.py, line 1

What does MemoryBear sign people in with?
MemoryBear signs people in with authlib, bcrypt, ecdsa, itsdangerous, keyring, python-jose, cryptography, passlib, and pyjwt.
Does MemoryBear use AI?
Yes. MemoryBear uses AI through crcmod, langchain-mcp-adapters, langfuse, langgraph-sdk, langsmith, mcp, xinference-client, LangChain, LangGraph, dashscope, langchain-openai, langid, opencv-python, tiktoken, langchain-aws, langchain-ollama, nltk, chonkie, ModelScope, Ollama, onnxruntime, scikit-learn, xgboost, and OpenAI.
What services does MemoryBear use?
MemoryBear uses amqp, asyncpg, psycopg, psycopg2-binary, py-key-value-aio, s3transfer, Redis, Celery, Neo4j, oss2, kombu, elasticsearch-dsl, valkey, Elasticsearch, and Hugging Face.
Does MemoryBear have tests?
Yes. MemoryBear has 48 test files and is tested with Pytest and pytest-asyncio.
Which repos have a stack like MemoryBear's?
The ones that share most of its stack:apache/supersetrun-llama/llama_indexdatawhalechina/hello-agents

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