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Agentic research control plane: queue state, worker preflight, wake-gated execution, evidence sync, dashboard, alerts, and AI-generated paper packaging.

16 starsPython

Enoch – Control Plane for Autonomous AI Research

by aliasocracy·May 3, 2026·5 points·1 comment
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AI Analysis

●●SolidBig BrainBold Bet

Wake gate uses CPU/GPU quiet-window telemetry to prove runs actually finished.

Strengths
  • •Wake gate tracks process trees and GPU quiet windows to verify runs completed, not just agent sessions closed
  • •Evidence sync bundles run notes, metrics, and claim ledgers into auditable artifacts with provenance
  • •Single-lane safety prevents overlapping GPU-heavy work on constrained local hardware
Weaknesses
  • •Early stage with 6 stars; unproven if better than careful scripting for autonomous work
  • •Agentic control plane category is emerging; unclear if this solves a widespread pain point
Category
AI/ML
Target Audience

Researchers running autonomous AI experiments, AI engineering teams

Similar To

LangGraph · n8n · OpenClaw

Post Description

I built Enoch after working with OpenClaw and trying to get an agentic coding system setup with Codex. In the past, I was trying to manually generate, code, and test this all manually. Then - I figured I'd try to start automation. Too many times have I typed "Continue" and gone back to my work. I figured I could automate that. Well - Enoch is what stemmed from that.

My first implementations were a mess with OpenClaw. I'll spare you the details. I moved to n8n. n8n was not bad but it felt like I had to strong arm it to do what I wanted. Had issues, but less.

Then this system - LangGraph / FastAPI... it has been working pretty well. The papers generated seem to have meaning. Generation of ideas have shown to have some positive substance. All ideas are grounded on a basis of pass / fail or positive / negative - based on criteria set on idea generation.

I will spare you too much reading.

Disclaimer: Yes, I used Codex to help code and Claude for some verbiage. I am not new to coding but I know there is a huge stigma in the business for this AI coding assistance bits. AI has helped to allow me dump my ideas down to a worker - and not have to take the time to sit and learn to code to get ideas out. Democratized software could have a grand effect.

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