Agents Remember - Git-Based Agent Memory System

Coding agents struggle with project-specific context and forget institutional knowledge about codebases. This tool stores agent memory as Markdown files synced with Git, letting agents understand repo patterns and history like experienced engineers do. Target: developers building AI-powered coding systems.

The rise of agentic coding workflows — Cursor, Copilot Workspace, Claude Code — has surfaced a real and widely-discussed pain point: agents repeat mistakes and ignore established patterns because they have no persistent memory of a project's conventions. No clear incumbent owns this specific layer; most solutions are ad-hoc prompt engineering or one-off CLAUDE.md files developers manage manually. The revenue band is honest given this is likely a dev tool with a small, technical addressable market that will price-compare against free DIY approaches, making $500–2k/mo achievable but probably a ceiling without a strong expansion motion. The biggest risk is that the major coding agent platforms — Anthropic, GitHub, Cursor — absorb this natively, since persistent project memory is an obvious roadmap item for all of them and a thin file-sync layer is easy to replicate.