Rlm-codelens – Codebase intelligence with recursive language model
Graph-aware RLM decomposition beats context-window limits; but Codeium/Sourcegraph Cody solve this already.
Proof of concept for using LLMs to generate an application by following a recursive graph decomposition of the application's architecture.
Graph decomposition for LLM code gen, but takes an hour for a calculator app.
Developers experimenting with LLM code generation workflows
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Graph-aware RLM decomposition beats context-window limits; but Codeium/Sourcegraph Cody solve this already.
Visualizes kanji structure as a recursive DAG when WaniKani only uses static mnemonics.
Graph RAG without Neo4j — pure vector search beats HippoRAG on multi-hop benchmarks.
Math-spec approach for LLM-generated code, but lacks working examples and doesn't solve the reasoning-accuracy problem.
Orchestrates recursive LLM agents in Rust when LangGraph dominates Python.
Turns missing spec citations into hard compile errors so agents can't lie by omission.