Contextify - ctxfy.com – Compress and manage LLM conversation state efficiently

Summary: Contextify is a Context State Engine that reduces large language model (LLM) conversation history by up to 95% by extracting and preserving only essential decisions and constraints into a portable State Object. It supports integration via REST API, works with multiple models, and enables infinite agent memory through state updates.

What it does

It compresses LLM chat history by removing redundant and irrelevant content, retaining only "Hard State" such as decisions, constraints, code, and schemas. The resulting State Object can be injected into models as system prompts, updated with diffs, or used in agent loops.

Who it's for

Developers and teams working with LLMs who need to maintain and reuse meaningful conversation context across sessions, models, or projects.

Why it matters

It solves the problem of losing valuable decision-making context buried in lengthy LLM conversations, enabling efficient state management and reuse without manual summarization.