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Using Binder as an indexing layer for AI agents & docs auto-generation #2

@IsLand-x

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@IsLand-x

First of all, great work on Binder! The bidirectional Markdown sync and local-first approach are exactly what I've been looking for in a knowledge base tool.

I have two questions after exploring the project:

1. Can Binder serve as an "indexing layer" for AI agents?

My use case: I want to use Binder as the structured index that my AI agents query when accessing a knowledge base. Is it sufficient to customize the .binder/*.yaml files (types, fields, navigation) to define the schema and indexing structure for this purpose? Or are there additional integration points (e.g., MCP server customization, query APIs) that I should be aware of?

2. Is the docs/ directory self-hosting / auto-generated?

Looking at the docs directory, I see concept documentation (e.g., docs/concepts/changeset.md) that describes Binder's own internals. Are these documents generated automatically by Binder itself ("self-hosting" / "bootstrapping") via the binder docs render command? Or are they manually maintained and simply live alongside the project?

If they are auto-generated, I'd love to understand the workflow: do you author the content as data records in .binder/data/ and then render them out to Markdown? Or is it the other way around — you write Markdown and sync it back into the knowledge graph?

Thanks again for the excellent project. Looking forward to your insights!

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