agentzip-memory-lite

Caps agent-sandbox fanout and compresses redundant pages using a memory gate script.

1|Updated Aug 27, 2025

Search Tags:#memory management #agent sandbox #python script #ci gate #fanout cap #page compression

One-click install

npx skills add https://github.com/IgorGanapolsky/Random-Timer --skill agentzip-memory-lite-igorganapolsky

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: agentzip-memory-lite
Source: https://github.com/IgorGanapolsky/Random-Timer/tree/main/.cursor/skills/agentzip-memory-lite
Command: npx skills add https://github.com/IgorGanapolsky/Random-Timer --skill agentzip-memory-lite-igorganapolsky

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Agent sandboxes can consume excessive memory through uncontrolled fanout and redundant page allocations, leading to resource exhaustion. This Skill enforces memory limits by capping fanout and compressing redundant pages according to the project's AGENTZIP_MEMORY policy. ## Core Features & Use Cases - Fanout Capping: Limits agent-sandbox fanout to prevent unbounded memory growth. - Page Compression: Compresses redundant memory pages to reduce footprint. - Policy-Driven Gate: Runs the agentzip_memory_gate.py script with JSON output following the rules in docs/AGENTZIP_MEMORY.md. - Use Case: When running multiple concurrent AI agent sandboxes in a CI pipeline, apply this Skill to keep memory usage within defined thresholds and report gate results as JSON. ## Quick Start Run the agentzip memory gate script with JSON output and follow the policy documented in docs/AGENTZIP_MEMORY.md.

Frequently Asked Questions about agentzip-memory-lite

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

FAQPage Schema

How do I limit memory usage of AI agent sandboxes?▼

Cap agent-sandbox fanout and compress redundant pages by running the agentzip_memory_gate.py script with the --json flag. The gate enforces the memory policy defined in docs/AGENTZIP_MEMORY.md.

How to run the agentzip memory gate script?▼

Run python3 scripts/agentzip_memory_gate.py --json from the repository root. The script outputs gate results in JSON format for programmatic consumption.

What does agent-sandbox fanout capping mean?▼

Fanout capping limits how many concurrent agent sandbox instances or branches can spawn, preventing unbounded memory growth. The exact thresholds are defined in the AGENTZIP_MEMORY documentation.

When should I apply memory compression for agent workflows?▼

Apply it when running multiple concurrent agents in CI pipelines or sandboxed environments where redundant pages accumulate. It is less necessary for single-agent, short-lived tasks with low memory pressure.