Context Compaction Python Packages

protocore

Protocore — the agent loop, and nothing else. A protocol-first ReAct runtime for LLM agents in Python 3.12+: context budget, tool surface, compaction, snapshot and resume. No database driver, no HTTP endpoint — everything outward is a Protocol you implement. MPL-2.0.

laya-compactor

Cut 70% of RAG context tokens with zero answer-quality loss, measured: one local forward pass scores every retrieved chunk and the budget decides

contextcrumb

Save Token Usage on Unstructured Document 😎. Let agent read docs, memories, prompts with in ultra-compressed mode through a tiny local model.

grok-loop-kit

Automatic Grok 4.5 context compaction for xAI Responses API agent loops. Node, Python, and a LangChain/LangGraph adapter.

qontext-memory

Qontext — a quipu-inspired conversational memory