Context Optimization Python Packages

entroly-core

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

entroly

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

distillrepo

distills Python repositories into compact review bundles for LLMs and agents

quira

Quira is a next-gen Python RAG framework featuring speculative vector search, Context Tetris for token compression, and differential caching to eliminate redundant API costs.

fetchgraph

Graph-style library for LLM agents: plan → fetch context → synthesize → verify.

llm-context-search

llm-context-search is a fast, LLM-free engine that turns web search results into clean, ranked, token-bounded context for AI agents.

tokenwise-optimizer

Smart Context Optimization for LLMs - Reduce tokens by 66%, save 40% on API costs. Intelligent ranking and selection of relevant context using embeddings, keywords, and semantic analysis.