OpenNSWM-Lab/FAROS
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review. observed · 2026-08-28
Health v2 · maintenance only
58/100
- Activity 99
- Release rhythm 35
- Longevity 8
Flags: no_releases young no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 112
- days_rel: n/a
- days_push: 9
- n_releases_24m: 0
Adoption not part of the score
3001 stars · 350 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
FAROS is a blueprint-driven AutoResearch runtime that orchestrates end-to-end AI research workflows, from idea generation through experiments, paper writing, and peer review. It is built around composable Blueprints, Capabilities, Profiles, and Providers, currently shipping an LLM-domain baseline (FAROS-LLM) with file-backed persistence and venue-aware LaTeX paper generation.
Use cases
- automate the full research pipeline from idea to paper and review
- generate academic papers with LaTeX tailored to a venue
- orchestrate multi-agent LLM research workflows from blueprints
- run an AI scientist system that proposes and evaluates research ideas
- automate peer review of generated papers
- build custom research workflow runtimes with pluggable providers
When to choose
- you want a configurable, blueprint-based alternative to hardcoded AI-scientist agents
- you need an end-to-end LLM research pipeline including paper writing and review
- you want file-backed run, event, and artifact persistence for research runs
- you are experimenting with automated scientific discovery in the LLM domain
When to avoid
- you need full DAG scheduling and parallel orchestration, which is not yet included
- you need a mature cross-domain or non-LLM provider ecosystem
- you require a polished frontend console or DB-backed runtime metadata
- you need a permissively licensed project - no license is currently specified
Facets
framework · maturity experimental
agent-framework workflow-automation llm-inference prompt-engineering rag artificial-intelligence large-language-models developer-tools python cross-platform ai-scientist autoresearch research-automation paper-generation multi-agent blueprint-driven scientific-workflow peer-review-automation ai-agents automation nodejs docker
1 source
- readme: https://github.com/OpenNSWM-Lab/FAROS · fetched 2026-08-28 · 0b0c917ad28b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| OpenNSWM-Lab/FAROS | main | 58 |
For agents
markdown · JSON · MCP: product_card(name="OpenNSWM-Lab/FAROS")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem