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What is Memori built with?

Memori is a Python repo built with Tokio and AIOHTTP. It uses AI through openai, rank-bm25, sentence-transformers, tiktoken, tokenizers, and 4 more, is tested with Vitest, deploys with log and botocore, and uses Postgres and SQLite. It has 67,519 written lines, with 198 test files.

Read on November 7, 2026, at commit 574b1ea. Read it as markdown

Frontend

Interface 1

  • ipywidgets

Backend

AI 9

Data 2

Support

The base 2

Deploy 2

  • log7 files
  • botocore1 file

Tools 3

  • napi-derive2 files
  • ipykernel
  • Ruff

Testing 1

  • Vitest42 files

Other 23

  • NumPy3 files
  • napi1 file
  • pyo31 file
  • pandas
  • tqdm
  • serde_json18 files
  • requests8 files
  • serde7 files
  • thiserror4 files
  • anyhow2 files
  • base642 files
  • parking_lot2 files
11 more
  • reqwest2 files
  • sha22 files
  • dashmap1 file
  • grpcio1 file
  • pyfiglet1 file
  • python-dotenv1 file
  • rand1 file
  • uuid1 file
  • openssl-sys
  • protobuf
  • tenacity

Other repos with a similar stack

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Frequently asked questions

What language is Memori written in?
Memori is written in Python, with 67,519 written lines.
What framework does Memori use?
Memori is built with Tokio and AIOHTTP.
Does Memori use AI?
Yes. Memori uses AI through openai, rank-bm25, sentence-transformers, tiktoken, tokenizers, faiss-cpu, fastembed, hf-hub, and openclaw.
What services does Memori use?
Memori uses Postgres and SQLite.

The proof: memori-ts/src/storage/adapters/postgresql.ts, line 1

Does Memori have tests?
Yes. Memori has 198 test files and is tested with Vitest.
Which repos have a stack like Memori's?
The ones that share most of its stack:datawhalechina/hello-agentsrun-llama/llama_indexBerriAI/litellm

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