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✦ Free & open sourceMarketing

ALwrity

Contextual AI marketing platform with brand personas and multi-surface generation.

ALwrity: Contextual AI Marketing OS

Drive blogs, videos, and social campaigns with shared brand memory and real-time SEO data.

Free forever · open source · MIT
✓ Light setup✓ Browser-based✓ Real-time collaboration
7
ZEKAI
Contextual AI marketing OS
Free & open source · Marketing
Ease of setup4
Usefulness8
Maintenance9.5
Community6.5
★ 1,189
GITHUB
Oct 2026
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

ALwrity is an open-source digital marketing platform that builds a reusable brand brain from your website and competitors. It suits technical marketers and creators who want to coordinate multi-channel content without jumping between disjointed SaaS tools.

Runs on
Web
Hosting
Self-host
Languages
Python
License
MIT

What it is

The platform ingests your website and competitors to generate contextual blogs, YouTube scripts, podcast outlines, and LinkedIn posts. It uses agent-driven workflows for research, planning, SEO optimization, and publishing while maintaining consistent brand personas.

Who it's for

It suits solo creators and content teams who manage multiple channels and want grounded, factual AI output rather than generic text. It does not suit marketers looking for a simple plug-and-play browser extension without backend setup.

Key features

Contextual Brand Brain

Ingests your website and competitors to inform all content generation.

Multi-Surface Generation

Creates blog posts, YouTube scripts, podcast outlines, and video scenes from shared context.

Google-Grounded LinkedIn

Generates factual social posts backed by real Google grounding and citations.

SEO & Search Console

Includes an SEO dashboard with Google Search Console insights and metadata analysis.

Phase-Based Workflows

Provides guarded step-by-step navigation through research, outlining, writing, and publishing.

How to start

Up and running in 3 steps

1
Clone the repository and install backend Python dependencies along with frontend npm packages.
2
Configure your API keys for LLM and search providers in the environment settings.
3
Start the FastAPI backend server and run the React frontend locally on port 3000.
Real talk

Our honest verdict

What's great

  • Connects Google Search Console for direct SEO insights inside your workflow.
  • Auto-selects LLM providers between Gemini and Hugging Face based on available API keys.
  • Maintains consistent brand voices and platform-specific persona adaptations.
  • Provides structured phase navigation for blog writers and story creators.

Where it falls short

  • Requires manual setup of a FastAPI backend and React frontend with Node and Python dependencies.
  • Relies on external paid API keys for LLM and search providers like Gemini, OpenAI, or Anthropic.
  • Self-hosting demands basic familiarity with running local servers and environment variables.
Cost

Pricing & license

Free under its MIT licence. The only cost is running it yourself and paying for the underlying LLM and search provider APIs you choose to connect.

Paid work

Open remote AI-training roles

870 open remote AI-training roles, updated November 14, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

See all open roles →
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Questions

FAQ

What AI models does ALwrity support?

It supports OpenAI, Google Gemini and Imagen, Hugging Face, Anthropic, and Mistral with auto-selection logic.

Can I publish directly to social platforms?

It includes integrations for Google Search Console and grounded content generation for LinkedIn.

Radar

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