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aura-bench-local-iteration

Automate local memory-bench iterations for Cursor Cloud Agents against Neon DB.

1|4|Updated Feb 13, 2026
Search Tags:#workspace#triage#local-debugging#memory-bench#neon-db#longmemeval
One-click install
npx skills add https://github.com/AuraHQ-ai/aura --skill aura-bench-local-iteration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aura-bench-local-iteration
Source: https://github.com/AuraHQ-ai/aura/tree/main/.cursor/skills/aura-bench-local-iteration
Command: npx skills add https://github.com/AuraHQ-ai/aura --skill aura-bench-local-iteration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Fast local memory-bench iteration loop for Cursor Cloud Agents to quickly validate changes against the Neon DB in a disposable local workspace.

Core Features & Use Cases

  • Deterministic mid-size LongMemEval runs against the agent's own Neon DB to surface real memory behavior.
  • Persistent local workspace (bench-local-<key>) that can be inspected after runs and re-used for iteration.
  • Supports triage, inspection, and re-run workflows to iterate on code and prompts faster than CI.

Quick Start

Run a mid-size memory bench in a persistent local workspace and inspect the results to guide development.

Frequently Asked Questions about aura-bench-local-iteration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run local memory-bench iterations against a Neon DB?▼

Local memory-bench iterations run deterministically against your Neon DB by utilizing a persistent local workspace to validate memory changes quickly. This disposable workspace enforces mid-size runs to surface real memory behavior without relying on slower CI pipelines.

Can I inspect stored memories after a LongMemEval run?▼

Yes, you can inspect stored memories after a LongMemEval run. The process uses a persistent local workspace that remains available post-execution, enabling detailed triage and re-run workflows to guide iterative development and debugging.

What is the best way to debug long memory evaluation loops for cloud agents?▼

The best way to debug long memory evaluation loops is using a persistent local workspace designed for triage and inspection. It supports background execution and re-run workflows, allowing faster iteration on code and prompts than standard CI environments.

Does this local debugging approach support background execution?▼

Yes, local debugging supports background execution for memory-bench iterations. This allows you to run deterministic mid-size evaluations against your Neon DB while continuing other development tasks in your persistent local workspace.

Why use a persistent local workspace instead of CI for memory validation?▼

A persistent local workspace enables faster memory validation by allowing direct inspection, triage, and re-runs of stored memories. Unlike CI, the workspace remains intact between iterations, accelerating the debug and prompt tuning loop significantly.

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