memory-summary-retrieve

Retrieve memory summaries by ID, project, or recency via the BrAIny API.

Updated Jan 15, 2026
One-click install
npx skills add https://github.com/whiteboardev/brainy.chat --skill memory-summary-retrieve
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-summary-retrieve
Source: https://github.com/whiteboardev/brainy.chat/tree/main/.opencode/skills/memory-summary-retrieve
Command: npx skills add https://github.com/whiteboardev/brainy.chat --skill memory-summary-retrieve

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Retrieves memory summaries by ID, by project, or by recency to provide compressed historical context for prompts.

Core Features & Use Cases

  • Retrieve a single summary by ID for targeted context
  • List summaries for a project to review memory history
  • Format summary data for LLM prompts or downstream processing

Quick Start

bun .opencode/skills/memory-summary-retrieve/scripts/get-summary-by-id.ts SUMMARY_ID bun .opencode/skills/memory-summary-retrieve/scripts/list-summaries.ts PROJECT_ID [LIMIT] bun .opencode/skills/memory-summary-retrieve/scripts/format-summary-context.ts SUMMARY_ID

Frequently Asked Questions about memory-summary-retrieve

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

FAQPage Schema
How do I retrieve compressed memory summaries for LLM context?

To retrieve compressed memory summaries for LLM context, use the provided scripts to fetch data by ID, project, or recency via the BrAIny API. It formats and exports the historical context as JSON for downstream prompts.

Can I list project memory summaries using the BrAIny API?

Yes, you can list project memory summaries by running the list-summaries script with a PROJECT_ID and optional LIMIT. It fetches the project memory history via the BrAIny API to review past context.

How do I format memory summary data for LLM prompts?

You format memory summary data for LLM prompts by executing the format-summary-context script with a specific SUMMARY_ID. This retrieves the targeted summary and structures it for direct use in downstream processing.

Do I need Bun runtime to fetch memory summaries by ID?

Yes, you need the Bun runtime installed to execute the TypeScript scripts that fetch memory summaries by ID. The scripts rely on Bun to run and connect to the BrAIny API at localhost:3000.

What is the best way to access historical context without exceeding token limits?

The best way to access historical context without exceeding token limits is retrieving compressed memory summaries. This Skill fetches on-demand summaries by recency or ID, providing concise historical data formatted as JSON.