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Gradata: The memory MCP — persistent agent corrections for your AI coding workflow #164

@Gradata

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@Gradata

Hey Jeff —

Your March video on open-source AI tools nailed it: "In 2026, writing code by hand is no longer the bottleneck — managing AI agents is." Your October take on MCPs as the fix for vibe coding was the right instinct — static context injection at session start.

But MCPs are static. They don't learn which corrections recur or which rules matter. Every session, you're re-teaching the same preferences.

Gradata is the memory MCP. It watches corrections across sessions, identifies patterns, and graduates persistent rules injected at session start. Think: MCP that learns from your corrections.

CLI-first, OSS, provider-agnostic. Demo takes under 5 minutes: install, run a session, make a correction, next session benefits.

GitHub: https://github.com/Gradata/gradata
Docs: https://gradata.ai

You'd be the first to cover an agent-memory tool from the "managing AI agents" angle you established in March. I can supply a before/after correction comparison as B-roll for a 100-second explainer.

Want to check out the repo?

— Oliver

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