#Llm-optimization
Showing 6 of 6 repositories tagged #llm-optimization, ranked by stars
Nadir is a Python package designed to dynamically choose the best llm for your prompt by balancing complexity and cost and response time.
Optimize AI workflows with Arachne. Automatically assembles the perfect code context (Tree, Target, Deps, Semantic) to fit context windows without noise. Built for efficiency and scale.
ContextCore: An MCP server for Claude (or any AI tool) that enables massive token saving through hybrid search (BM25 + Embeddings)
Declarative Self Improving Elixir - DSPy Orchestration in Elixir
DSPEx - Declarative Self-improving Elixir | A BEAM-Native AI Program Optimization Framework
Hybrid adaptive memory system for Claude Code — Cheatsheet (positive patterns) + Immune (negative patterns)