# taranis-ai/taranis-ai

Taranis AI is an advanced Open-Source Intelligence (OSINT) tool, leveraging Artificial Intelligence to revolutionize information gathering and situational analysis.

Repository: https://github.com/taranis-ai/taranis-ai
Canonical: https://ross.abutalabs.com/products/taranis-ai
Homepage: https://taranis.ai/
Language: Python
License: EUPL-1.2
License Family: copyleft
Topics: cybersecurity, osint, artificial-intelligence, nlp, secops
Last push: 2026-09-02T18:04:51+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 99, longevity 75
- inputs: {"age_days": 1063, "days_push": 0, "days_rel": 9, "gap_med": 19, "n_releases_24m": 28}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1207, forks 178 (observed 2026-09-03T02:15:18.421000+00:00)

## What it is
Taranis AI is a self-hosted open-source OSINT platform that collects news articles from web sources and uses NLP/AI to enrich, cluster, and analyze them. Analysts refine AI-augmented stories into structured reports that can be published as PDF, HTML, JSON, or plain text products.

## Use cases
- gather open-source intelligence from websites into a curated feed
- automatically enrich news articles with entity recognition and summaries
- cluster related stories to reduce analyst workload
- detect cybersecurity terms like APTs, CVEs, and IoCs in collected news
- turn unstructured news into structured reports and publish as PDF
- run a self-hosted threat intelligence and situational awareness workflow

## When to choose
- you need a self-hosted OSINT collection and analysis pipeline with AI enrichment
- your team of analysts produces intelligence reports from public news sources
- you want automated detection of CVEs, APTs, and IoCs in collected articles
- you need a full workflow from collection to assessment, reporting, and publishing

## When to avoid
- you only need a simple RSS reader without analyst workflows
- you cannot operate a multi-service Docker deployment with database and job queue
- you need real-time network monitoring rather than news-based intelligence

## Facets
- artifact type: application
- maturity: active
- function: nlp, web-scraping, search-engine, osint, machine-learning, workflow-automation, pdf, api-framework
- domain: osint, security, artificial-intelligence
- platform: self-hosted, python
- tags: osint-platform, threat-intelligence, news-collection, story-clustering, entity-recognition, report-generation, rq-workers, analyst-workflow, natural-language-processing, docker, web-server, linux

## Member repositories
- taranis-ai/taranis-ai (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:18.421000+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 2026-08-30T06:19:41.052331+00:00, confidence not recorded.
  - readme: https://github.com/taranis-ai/taranis-ai (fetched 2026-09-03T02:15:18.421000+00:00, sha 9a70ace40511)
  - homepage: https://taranis.ai/ (fetched 2026-08-29T12:27:21.420543+00:00, sha d73124778988)
  - site_page: https://taranis.ai/docs (fetched 2026-08-29T12:27:21.429553+00:00, sha ded89761d138)
- Data as of 2026-08-30T08:39:29.467469+00:00.