AgentContextSaver

Intercept and compress AI agent context to cut token costs by 80%+

Problem

Autonomous AI agents resend compounding memory, system prompts, and tool history on every iteration, causing quadratic token growth and high costs. Teams pay frontier-model prices just to reprocess redundant context.

Solution

Middleware that intercepts between agent and LLM API: automatically identifies and compresses redundant context, maintains distilled memory summaries, sends only necessary info; supports OpenAI, Claude, etc.; usage dashboard and savings report.

Users

Startups, indie developers, and AI engineers building and deploying AI agents

MVP

Proxy layer for OpenAI and Claude APIs; simple rule-based compression (dedup, summarization); usage comparison dashboard; easy SDK integration

Revenue

Tiered pricing based on tokens saved, or $49/month subscription; open-core with paid cloud service

Why now

AI agents are exploding and context cost is a universal pain; indie developers can build middleware quickly and big players haven't focused on a standalone context solution