# run-llama/notebookllama

A fully open-source, LlamaCloud-backed alternative to NotebookLM

Repository: https://github.com/run-llama/notebookllama
Canonical: https://ross.abutalabs.com/products/notebookllama
Language: Python
License: MIT
License Family: permissive
Last push: 2026-03-02T08:58:20+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 70, release rhythm 40, longevity 30
- inputs: {"age_days": 432, "days_push": 184, "days_rel": 412, "gap_med": 0, "n_releases_24m": 10}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1967, forks 248 (observed 2026-08-28T04:05:59.969466+00:00)

## What it is
NotebookLlaMa is an open-source, Python-based alternative to Google's NotebookLM, backed by LlamaCloud for document ingestion and retrieval. It lets users upload documents, query them with LLM-powered agents, and generate audio overviews/podcast-style summaries using ElevenLabs text-to-speech.

## Use cases
- open-source alternative to NotebookLM
- generate podcast-style audio summaries from PDFs
- chat with my documents using LLMs
- build a RAG pipeline over research papers
- turn documents into audio overviews
- query PDFs with a LlamaCloud-backed agent

## When to choose
- you want a self-hostable, open-source NotebookLM replacement
- you already use LlamaCloud and want document RAG with audio output
- you need customizable agents for document extraction and Q&A

## When to avoid
- you want a fully free solution with no paid API keys (requires OpenAI, ElevenLabs, LlamaCloud)
- you need a polished GUI web app rather than scripts and CLI setup
- you want to avoid cloud dependency for document indexing

## Facets
- artifact type: application
- maturity: active
- function: rag, llm-inference, tts, speech-recognition, nlp, chatbot
- domain: artificial-intelligence, large-language-models, pdf
- platform: python, cross-platform, cli
- tags: notebooklm-alternative, llamacloud, podcast-generation, audio-overviews, document-qa, openai, elevenlabs, retrieval-augmented-generation, audio, natural-language-processing

## Member repositories
- run-llama/notebookllama (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:59.969466+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:05:25.732948+00:00, confidence not recorded.
  - readme: https://github.com/run-llama/notebookllama (fetched 2026-08-28T04:05:59.969466+00:00, sha 4b69986815c8)
- Data as of 2026-08-30T08:39:29.467469+00:00.