Source: https://seerepo.com/compare/run-llama/llama_index/vs/SuanmoSuanyangTechnology/MemoryBear
Markdown source: https://seerepo.com/compare/run-llama/llama_index/vs/SuanmoSuanyangTechnology/MemoryBear.md
Description: llama_index and MemoryBear share 53 technologies: starlette, asyncpg, oss2, psycopg, psycopg2-binary, Redis, Neo4j, anyio, AIOHTTP, soupsieve, prompt-toolkit, matplotlib, Rich, SQLAlchemy, cryptography, pyjwt, OpenAI, opencv-python, LangChain, tiktoken, MCP, dashscope, nltk, chonkie, ModelScope, Ollama, scikit-learn, langfuse, beautifulsoup4, markupsafe, webencodings, xlrd, pillow, jinja2, lxml, pymupdf, markdownify, olefile, pdfplumber, pypdf, pypdf2, tika, jsonschema-specifications, marshmallow, referencing, Pydantic, annotated-types, jsonschema, opentelemetry-semantic-conventions, prometheus-client, psutil, boto3, and OpenTelemetry. Both are written in Python.

# llama_index vs MemoryBear

llama_index and MemoryBear share 53 technologies: starlette, asyncpg, oss2, psycopg, psycopg2-binary, Redis, Neo4j, anyio, AIOHTTP, soupsieve, prompt-toolkit, matplotlib, Rich, SQLAlchemy, cryptography, pyjwt, OpenAI, opencv-python, LangChain, tiktoken, MCP, dashscope, nltk, chonkie, ModelScope, Ollama, scikit-learn, langfuse, beautifulsoup4, markupsafe, webencodings, xlrd, pillow, jinja2, lxml, pymupdf, markdownify, olefile, pdfplumber, pypdf, pypdf2, tika, jsonschema-specifications, marshmallow, referencing, Pydantic, annotated-types, jsonschema, opentelemetry-semantic-conventions, prometheus-client, psutil, boto3, and OpenTelemetry. Both are written in Python.

- [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): LlamaIndex is the document processing platform for AI
- [SuanmoSuanyangTechnology/MemoryBear](https://seerepo.com/r/SuanmoSuanyangTechnology/MemoryBear): MemoryBear Equip AI with human-like memory capability

## What they share and what sets them apart

- In common: starlette, asyncpg, oss2, psycopg, psycopg2-binary, Redis, Neo4j, anyio, AIOHTTP, soupsieve, prompt-toolkit, matplotlib, Rich, SQLAlchemy, cryptography, pyjwt, OpenAI, opencv-python, LangChain, tiktoken, MCP, dashscope, nltk, chonkie, ModelScope, Ollama, scikit-learn, langfuse, beautifulsoup4, markupsafe, webencodings, xlrd, pillow, jinja2, lxml, pymupdf, markdownify, olefile, pdfplumber, pypdf, pypdf2, tika, jsonschema-specifications, marshmallow, referencing, Pydantic, annotated-types, jsonschema, opentelemetry-semantic-conventions, prometheus-client, psutil, boto3, OpenTelemetry
- Only in llama_index: aiomysql, aiosqlite, async-lru, azure-cosmos, azure-data-tables, azure-search-documents, azure-storage-blob, ibm-db, nebula3-python, pgml, pgvecto-rs, pgvector, pickleshare, pyathena, pydrive, pylance, pymongo, python-arango, pyvespa, pyzmq, snowflake-sqlalchemy, tantivy, weaviate-client, aioboto3, pyarrow, lancedb, oracledb, DuckDB, pymilvus, pysolr, SQLite, tablestore, aperturedb, astrapy, chromadb, dashvector, falkordb, jaguardb-http-client, MySQL, pinecone, clickhouse-connect, couchdb3, gcsfs, opendal, opengauss-sqlalchemy, pyairtable, pyiceberg, pymochow, pymysql, pyobvector, s3fs, singlestoredb, tcvectordb, typesense, ElevenLabs, graphql-core, jupyter-core, jupyterlab-server, tornado, Ray, jupyterlab-pygments, tinycss2, ipywidgets, jupyter-server-terminals, jupyterlab-widgets, matplotlib-inline, widgetsnbextension, argon2-cffi, argon2-cffi-bindings, azure-identity, Google, google-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, openinference-instrumentation-llama-index, openvino-tokenizers, PaddlePaddle, portkey-ai, reka-api, tavily-python, typecast-python, torch, llama-index-instrumentation, transformers, ibm-watsonx-ai, cohere, bedrock-agentcore, sentence-transformers, fastembed, flagembedding, llama-cloud, optimum-intel, sentencepiece, ai21, aleph-alpha-client, gigachat, guidance, igptai, konko, litellm, mixedbread, 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, 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, tokenizers, 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, bs4, html2text, unstructured, defusedxml, filetype, bagel, docx2txt, pytesseract, dgml-utils, docling, layoutir, llama-parse, lxml-html-clean, markitdown, nbconvert, pdf2image, striprtf, svglib, tinytag, youtube-transcript-api, fastjsonschema, fqdn, rfc3339-validator, rfc3986-validator, docling-core, python-json-logger, Alibaba Cloud, oci
- Only in MemoryBear: FastAPI, Actix Web, uvicorn, Flask, amqp, py-key-value-aio, s3transfer, Celery, Postgres, kombu, elasticsearch-dsl, valkey, Elasticsearch, Hugging Face, werkzeug, Tokio, fastmcp, React, react-router-dom, Vite, alembic, authlib, bcrypt, ecdsa, itsdangerous, keyring, python-jose, passlib, crcmod, langchain-mcp-adapters, langgraph-sdk, langsmith, xinference-client, LangGraph, langchain-openai, langid, langchain-aws, langchain-ollama, onnxruntime, xgboost, docutils, et-xmlfile, html5lib, mako, markdown-it-py, mdurl, python-docx, python-magic-bin, rich-rst, ruamel-yaml, ruamel-yaml-clib, openpyxl, python-magic, markdown, python-calamine, python-pptx, mammoth, demjson3, email-validator, jsonschema-path, openapi-pydantic, beartype, Flower, volcengine-python-sdk, botocore, tracing, concurrent-log-handler, tracing-subscriber, Tailwind CSS, @codemirror/theme-one-dark, antd, lexical, AntV, echarts-for-react, D3, react-infinite-scroll-component, echarts, dnd-kit, CodeMirror, echarts-wordcloud, react-syntax-highlighter, Mermaid, react-fast-marquee, react-window, react-markdown, html2canvas, js-yaml, pdfjs-dist, rehype-katex, rehype-raw, remark-breaks, remark-gfm, remark-math, xlsx

## Side by side

| | llama_index | MemoryBear |
|---|---|---|
| Size | 473,258 lines written, 2,055 code files | 773,759 lines written, 3,244 code files |
| Who writes it | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot | 0.8% of its commits signed by AI. With Claude Code and Codex |
| Activity | Last push November 11, 2026, 7,967 commits, 52,885 stars | Last push November 13, 2026, 5,353 commits, 10,206 stars |
| Tests | 1,607 test files. 46.5% of its code files have a test that imports them | 48 test files. 2.3% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, llama_index or MemoryBear?

MemoryBear, with 773,759 lines written; llama_index has 473,258.

The proof: [SuanmoSuanyangTechnology/MemoryBear's code at commit 9ba1071](https://github.com/SuanmoSuanyangTechnology/MemoryBear/tree/9ba1071e12388e320dc4d871c5ad6ac4c539ff55)

### Which has more GitHub stars, llama_index or MemoryBear?

llama_index, with 52,885 stars; MemoryBear has 10,206.

The proof: [run-llama/llama_index on GitHub](https://github.com/run-llama/llama_index)

### Which has more tests, llama_index or MemoryBear?

llama_index, with 1,607 test files; MemoryBear has 48.

The proof: [run-llama/llama_index's code at commit baeabbf](https://github.com/run-llama/llama_index/tree/baeabbfe26241a6916e13e2a8c8156a02e0602cd)

### Which was updated more recently, llama_index or MemoryBear?

MemoryBear: its last push was on November 13, 2026, and llama_index's on November 11, 2026.

The proof: [SuanmoSuanyangTechnology/MemoryBear's commits on GitHub](https://github.com/SuanmoSuanyangTechnology/MemoryBear/commits)

### Which has more commits signed by AI, llama_index or MemoryBear?

MemoryBear: an AI signed 0.8% of its commits, with Claude Code and Codex; in llama_index, 0.2%.

The proof: [the commits each tool signed in SuanmoSuanyangTechnology/MemoryBear](https://seerepo.com/r/SuanmoSuanyangTechnology/MemoryBear/ai)

## Sources

- run-llama/llama_index: Read on November 13, 2026, at commit baeabbf (https://github.com/run-llama/llama_index/tree/baeabbfe26241a6916e13e2a8c8156a02e0602cd)
- SuanmoSuanyangTechnology/MemoryBear: Read on November 13, 2026, at commit 9ba1071 (https://github.com/SuanmoSuanyangTechnology/MemoryBear/tree/9ba1071e12388e320dc4d871c5ad6ac4c539ff55)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.