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AutoFDE
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AutoFDE

by AutoFDE

An AI forward-deployed engineer that observes, learns, and evolves across sessions.

Demo Video

About This Project

Every enterprise wants AI to "just work" on their workflows. But deploying it today looks like 2015: you hire a forward-deployed engineer, they shadow your team for weeks, hand-build an integration, and leave. Scale that across an org? Impossible.

Auto-FDE is the agent that does what a forward-deployed engineer does — autonomously. Connect your tools (email, spreadsheets, Slack). It silently observes. It detects the repeated workflows hiding in plain sight. It surfaces them with ROI estimates. Accept one, and it generates a production-grade skill — complete with guardrails, validation, and a live execution diagram — ready to run on your next trigger.

But here's what makes it real instead of a demo: it evolves with you. Correct it once ("that $10 difference is a known timing issue") and it never asks again. Rate a generated skill ("match against the Payment Export sheet, not the raw feed") and every future generation reflects that preference. Memory isn't a feature — it's why this agent compounds instead of resetting to zero every morning.

All long-term memory is stored in and recalled from HydraDB — cross-session, cross-skill, per-reviewer namespaced. A live Memory tab streams every autonomous read/write in real time. We prove persistence by wiping all local state and regenerating: the agent still remembers, because HydraDB does.

Built With

HydraDB
JavaScript
Lovable
Nebius
Python

Repository

Submitted June 21, 2026 at 11:09 AM