remember

Store and retrieve persistent memories via the BrAIny API.

Updated Jan 15, 2026

Search Tags:#context #memory #REST API #conversation #remember #BrAIny

Ready to run

npx skills add https://github.com/whiteboardev/brainy.chat --skill remember-whiteboardev

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: remember
Source: https://github.com/whiteboardev/brainy.chat/tree/main/.opencode/skills/remember
Command: npx skills add https://github.com/whiteboardev/brainy.chat --skill remember-whiteboardev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The Remember skill helps you persist important facts, notes, and conversation snippets across sessions by using the BrAIny REST API, ensuring continuity and contextual awareness.

Core Features & Use Cases

Persist memories: store facts, notes, and messages tied to a user.
Context preservation: automatically saves session context as windows fill, enabling continuity.
Retrieve: search and fetch memories for context or follow-up tasks.

Quick Start

Interact with the memory API using the bundled script:

Store a memory: bun scripts/memory.ts store "User prefers dark mode" --type fact
Retrieve memories: bun scripts/memory.ts retrieve "authentication" --limit 5

Frequently Asked Questions about remember

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

FAQPage Schema

How do I store conversation context across sessions using a REST API?▼

You can persist conversation context across sessions by sending structured memories with content, type, and authorType to the BrAIny REST API, which stores them for later retrieval.

How do I save and retrieve persistent memories for ongoing tasks?▼

Run the bundled script to store a memory with a type flag, or retrieve memories by passing a query string and an optional limit to fetch relevant context for ongoing tasks.

Can I search stored memories with a specific query and limit?▼

Yes, retrieving memories supports an optional query parameter to search content and a limit parameter to cap the number of returned results from the BrAIny API.

Do I need to configure environment variables to use the BrAIny memory API?▼

Yes, configuring API endpoints via environment variables is required to connect the memory scripts to the BrAIny REST API for storing and retrieving persistent session context.

Does the memory script require the Bun runtime to execute?▼

The bundled scripts use Bun to execute memory storage and retrieval commands via the command line, interfacing directly with the BrAIny REST API for session context preservation.