mneme

Run commands in a sandbox and return only relevant results.

1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/SentioLabs/agent-nexus --skill mneme
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mneme
Source: https://github.com/SentioLabs/agent-nexus/tree/main/claude-marketplace/plugins/mneme/skills/mneme
Command: npx skills add https://github.com/SentioLabs/agent-nexus --skill mneme

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The mneme skill protects your context window by running commands in a sandbox and returning only relevant search results, preventing noisy outputs from overwhelming your memory.

Core Features & Use Cases

  • Sandboxed execution for large or sensitive outputs
  • Deterministic task routing with PreToolUse hook
  • Efficient analysis workflows: log summarization, build outputs, API responses, and code reviews

Quick Start

Run a cargo test in a sandbox and return a concise summary.

Frequently Asked Questions about mneme

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

FAQPage Schema
How do I prevent large command outputs from overwhelming my context window?

Sandboxed command execution isolates large or noisy outputs and returns only relevant search results to your context window, preventing memory overload. This approach is ideal for summarizing build outputs, logs, and API responses.

How does sandboxed execution for logs and build outputs work?

Sandboxed execution works by running commands in an isolated environment and routing the output through a server, returning only concise summaries or filtered data. It uses a PreToolUse hook to enforce deterministic task routing for safe execution.

Do I need a specific binary or server to run commands in a sandbox?

Yes, sandboxed execution requires an available mneme binary and server to be installed and running in your environment. These components are necessary to handle the isolated execution and process the outputs before returning them.

Can I analyze JSON parsing and data processing without flooding my context?

Yes, you can analyze JSON parsing and data processing tasks by executing them in a sandbox. The system processes the large data outputs externally and returns only the relevant search results or summaries to your context window.

What is the best way to handle noisy code review outputs during execution?

The best way to handle noisy code review outputs is using sandboxed execution, which isolates the command processing and returns only the relevant analysis. This prevents large generated outputs from overwhelming your available context memory.