murtaza-nasir/maestro
Some data may be outdated — see provenance labels.
MAESTRO is an AI-powered research application designed to streamline complex research tasks. observed · 2026-09-22
Health v2 · maintenance only
54/100
- Activity 69
- Release rhythm 44
- Longevity 37
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 7.5
- age_days: 524
- days_rel: 373
- days_push: 187
- n_releases_24m: 9
Adoption not part of the score
1492 stars · 145 forks observed · 2026-09-22
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
application · maturity experimental
rag agent-framework llm-inference search-engine chat-interface self-hosted artificial-intelligence large-language-models self-hosted developer-tools self-hosted python research-assistant ai-agents document-library report-generation deep-research openai azure-openai retrieval-augmented-generation docker web-server
1 source
- readme: https://github.com/murtaza-nasir/maestro · fetched 2026-09-22 · d94bf6faefdf
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| murtaza-nasir/maestro | main | 54 |
For agents
markdown · JSON · MCP: product_card(name="murtaza-nasir/maestro")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem