Convex Agents Messages

Name: Convex Agents Messages
Availability: InStock
Author: Abraham

Save, retrieve, and display agent conversation messages with typed schemas.

1|Updated Jan 15, 2026

Search Tags:#ui #agents #history #conversation #messages #convex #thread

Ready to run

npx skills add https://github.com/AbrahamX3/hivio --skill convex-agents-messages-abrahamx3

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Convex Agents Messages
Source: https://github.com/AbrahamX3/hivio/tree/main/.cursor/skills/convex-agents-messages
Command: npx skills add https://github.com/AbrahamX3/hivio --skill convex-agents-messages-abrahamx3

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Messages in agent conversations need reliable saving, retrieval, and display to support UI rendering and history tracking.

Core Features & Use Cases

Saving user messages to preserve conversation history
Retrieving messages by thread to render chat history
Displaying messages with UI-related fields via UIMessages
Filtering tool messages from history to keep relevant context

Quick Start

Save a new user message to a thread and display the updated history in the chat UI.

Frequently Asked Questions about Convex Agents Messages

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

FAQPage Schema

How do I persist agent conversation messages for chat history?▼

To save user messages to preserve conversation history, you use thread-based storage with typed Message schemas to reliably retain user prompts and context for later retrieval.

How can I retrieve and display conversation history by thread in my UI?▼

You retrieve messages by thread to render chat history, utilizing UIMessages with UI-related fields and utilities for optimistic updates to support rich rendering in the chat interface.

How do I filter tool messages from conversation history?▼

You filter tool messages from history by applying built-in utilities that remove tool-specific entries from the thread, keeping only relevant context to display in the chat UI.

Does this approach support optimistic updates for message management?▼

Yes, this approach supports optimistic updates for message management by providing utilities that instantly render user prompts in the UI before backend generation completes.

Can I use typed Message schemas for thread-based storage in agent conversations?▼

Yes, you can use typed Message schemas for thread-based storage to enforce data consistency when saving and retrieving chat history for UI rendering.

What is the best way to render agent chat history with UIMessages?▼

The best way to render agent chat history with UIMessages is to retrieve thread-based messages and map their typed schemas to UI-related fields, applying optimistic updates for smooth display.