Docdex – A local tool to reduce LLM tokens and make agents smarter
Local indexer with AST + impact graph replaces grepping and cloud RAG for code context.

Operationalizing biomedical knowledge for drug discovery is a genuinely useful angle.
Biotech researchers, drug developers, VC analysts
Global Burden of Disease · ClinicalTrials.gov
Local indexer with AST + impact graph replaces grepping and cloud RAG for code context.
58K agents indexed is impressive scale, but trust score methodology is unclear.
Searchable directory for llms.txt files when general search engines could index these.
FM-index implementation delivers 1.5ms exact matches where grep chokes on scale.
Ranks models by actual benchmark scores instead of just fitting the biggest model in VRAM.
Deduping PRs and scoring them with 20 heuristic signals is a concrete, useful idea — especially the scope-coherence signal and embedding auto-fallback for providers without embeddings. The repo supports CLI, a persistent server, GitHub App integration and an explicit --model flag for provider flexibility, but it's still early and adoption/UX examples (ranked output, workflows) are thin — promising engineering scaffolding that needs real-world validation.