AgentDelta Incremental Reader

Let AI agents read only changed parts of shared Markdown files to save tokens

Problem

When collaborating with AI agents on shared Markdown files, once content changes, agents either re-read the whole file or write code to find the diff — wasting tokens and causing errors. There's no lightweight change-tracking mechanism.

Solution

A single-binary, single-SQLite-file tool that sits next to shared files, records every diff, and lets AI agents read only the delta since their last read via a simple command or MCP interface. This drastically cuts token usage and supports concurrent multi-agent tracking.

Users

Developers using AI coding agents, multi-agent collaboration teams, AI workflow builders

MVP

Watch shared Markdown files and store diffs; provide CLI command and MCP interface to return incremental content; track read position per agent/session; run as a single cross-platform binary

Revenue

Open-core with paid hosted sync or team collaboration features; or one-time desktop license

Why now

Multi-agent workflows and the MCP ecosystem are exploding, and token cost remains a pain point; an indie developer can enter with a minimal tool and get adopted quickly by the AI dev community