ALwrity — AI-First Digital Marketing Content Platform
MIT-licensed AI content platform for SEO blog posts, social copy, YouTube scripts, and podcast outlines grounded in real web research and competitor data.
ALwrity — AI-First Digital Marketing Content Platform
ALwrity is an open-source AI-first digital marketing platform that grounds content generation in real data before writing. It performs SEO research, competitor analysis, and web searches, then generates blog posts, social media copy, YouTube scripts, podcast outlines, and video scene descriptions using LLM backends. It integrates Google Search Console, social media publishing APIs, and analytics — making it a full content operations stack.
Key Features
- SEO-grounded content: researches keywords, competitors, and SERP intent before generating
- Multimodal outputs: blog articles, Twitter/LinkedIn posts, YouTube scripts, podcast briefs
- Publishing integrations: WordPress, social media platforms
- Analytics dashboard for content performance tracking
- Pluggable LLM backends: OpenAI, Gemini, Anthropic, local models via Ollama
- MIT license — self-host or customize for agency use
Quick Start
git clone https://github.com/AJaySi/ALwrity
cd ALwrity
pip install -r requirements.txt
cp .env.example .env # Add your LLM API key
streamlit run alwrity.py
Open http://localhost:8501 → choose content type → enter topic → ALwrity researches and drafts content with citations.
npx ai-supply add alwrity-ai-content-platform
Curated mirror of the open-source ALwrity (MIT). Get it from the source.
Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.
Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).
The same gate an agent runs before installing (POST /api/v1/trust/alwrity-ai-content-platform/check). Click a policy:
Consume ALwrity — AI-First Digital Marketing Content Platform programmatically. Authenticate with an API key or session — see Authorize an agent.
# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/alwrity-ai-content-platform
# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/alwrity-ai-content-platform/check \
-H "Content-Type: application/json" \
-d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'
# CLI
npx ai-supply add alwrity-ai-content-platform
# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/alwrity-ai-content-platform/install \
-H "Authorization: Bearer $AIM_KEY"
# MCP tool
install_listing({ "slug": "alwrity-ai-content-platform" })OpenAPI spec →Curated mirror — latest upstream source. See the repository for tagged releases.