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Docdex is a local-first indexing daemon for code and documentation. It combines ranked full-text search (Tantivy), AST-based symbol indexing, and a directed dependency graph to answer impact questions like “what breaks if this changes?”. It runs as a single lightweight service, supports multiple repos, integrates with local models via Ollama, and helps reduce LLM token usage by providing structured, persistent context.
DocdexStructural code indexer with deterministic LLM context
bekir dağleft a comment
Thanks for checking this out. I built Docdex because I was spending too many tokens re-explaining my own codebase to LLMs. The goal wasn’t “another AI tool,” but a local, deterministic layer that digests structure (docs + AST + dependency graph) so models can focus on reasoning instead of rediscovery. I’m especially interested in feedback on: Structural indexing vs embedding-heavy RAG...
DocdexStructural code indexer with deterministic LLM context