# murtaza-nasir/maestro

MAESTRO is an AI-powered research application designed to streamline complex research tasks.

Repository: https://github.com/murtaza-nasir/maestro
Canonical: https://ross.abutalabs.com/products/murtaza-nasir-maestro
Language: Python
License: AGPL-3.0
License Family: copyleft
Last push: 2026-04-16T05:02:51+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 77, release rhythm 51, longevity 34
- inputs: {"age_days": 476, "days_push": 139, "days_rel": 325, "gap_med": 7.5, "n_releases_24m": 9}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1495, forks 144 (observed 2026-08-28T04:04:53.082408+00:00)

## What it is
MAESTRO is a self-hosted AI-powered research platform that plans and executes complex research tasks using AI agents. It generates detailed reports from user documents and web sources in a collaborative research environment.

## Use cases
- run deep research tasks with AI agents on my own server
- generate research reports from my documents and web sources
- self-host an AI research assistant
- organize a document library for AI-powered research
- compare research report quality across different LLM providers
- collaborate with a team on AI-driven research missions

## When to choose
- you want a self-hosted alternative to cloud deep-research tools
- you need reports grounded in your own documents plus web sources
- you want to use multiple LLM providers including Azure OpenAI
- you prefer keeping research data on your own hardware

## When to avoid
- you need a production-grade, stable tool (it is alpha software)
- you cannot host Docker services or manage API keys yourself
- you only need simple single-prompt chat without research workflows
- you require a permissive license (it is AGPL-3.0)

## Facets
- artifact type: application
- maturity: experimental
- function: rag, agent-framework, llm-inference, search-engine, chat-interface, self-hosted
- domain: artificial-intelligence, large-language-models, self-hosted, developer-tools
- platform: self-hosted, python
- tags: research-assistant, ai-agents, document-library, report-generation, deep-research, openai, azure-openai, retrieval-augmented-generation, docker, web-server

## Member repositories
- murtaza-nasir/maestro (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:53.082408+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 2026-08-30T04:33:18.034892+00:00, confidence not recorded.
  - readme: https://github.com/murtaza-nasir/maestro (fetched 2026-08-28T04:04:53.082408+00:00, sha d94bf6faefdf)
- Data as of 2026-08-30T08:39:29.467469+00:00.