AI4Curators
Practical guides for curators and maintainers of knowledge bases who want to use AI agents in the workflows they already have.
Agents are curating real ontologies and knowledge bases today. This site points you at those repositories and explains what they do, so you can copy working setups instead of designing your own from scratch.
Start here
If you curate, and you want to try an agent on a real task:
- Read Your first curation session.
- Read Instruct the GitHub agent for how to ask an agent for work through an issue.
- Look at DisMech to see what a project run this way looks like from the inside.
If you maintain a repository, and you want agents working in it:
- Read the case studies for repositories like yours.
- Read the patterns they have in common.
- Follow Set up GitHub Actions to add an agent to your repository.
- Add validation before you add automation. See Make identifiers hard to fake.
What is on this site
| Section | What it holds |
|---|---|
| Case studies | One page per repository that runs agents on real curation |
| Patterns | Practices that appear in more than one of them |
| How-tos | Step-by-step tasks |
| Reference | Harnesses, tools, and GitHub integrations |
| Evidence | What we measure across these repositories |
| Glossary | Terms used on this site |
How this site works
We do not centralize guidance here. Repositories are the source of truth, and they change faster than documentation does. Each page points at files and folders you can open.
If a page disagrees with the repository it describes, trust the repository and tell us.