A free resource
The Agentic Newsroom Toolkit
145+ open-source tools for building AI in the newsroom — mapped by skill, and by how they compose.
You don’t have to reinvent the newsroom AI stack. This is a curated map of open-source tools across the core skills of an agentic newsroom — entity extraction, fact-checking, headline and SEO, structural editing, knowledge infrastructure, semantic search and more — with the recipes for chaining them into workflows that didn’t exist before.
Free. Built by a journalist, for the people building the future of the newsroom.
What’s in it
- 145+ tools — each with what it does, its language, and how it composes with the others.
- Organised by skill domain — find the tool for the job, not a list to wade through.
- Composability recipes — e.g.
spaCy (extract) → entity-fishing (disambiguate) → Wikidata (link): production pipelines, not isolated parts. - Open source throughout — run it yourself, no vendor lock-in.
The landscape JATO orchestrates
This toolkit is the raw material. JATO is what turns it into a single front door: you bring a task in plain language, and JATO composes the right tools into an agent pipeline to do the work. The toolkit shows you the parts; JATO orchestrates them. → How JATO works
For the consultants who bring AI to newsrooms
This is the reference you walk in with — the open-source landscape, mapped, so you can equip a newsroom without selling it a black box. Bring the toolkit and the judgement; let JATO do the orchestration. → The toolkit for AI-journalism consultants