Convex Agents Workflows

Name: Convex Agents Workflows
Availability: InStock
Author: sstobo

Orchestrate durable multi-step agent workflows with automatic retries in Convex.

25|4|Updated Oct 18, 2025

Search Tags:#agents #idempotent #recovery #workflows #retry #orchestrate #durability

Ready to run

npx skills add https://github.com/Sstobo/convex-skills --skill convex-agents-workflows

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Convex Agents Workflows
Source: https://github.com/Sstobo/convex-skills/tree/main/convex-agents-workflows
Command: npx skills add https://github.com/Sstobo/convex-skills --skill convex-agents-workflows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables durable, multi-step agent workflows that survive server restarts and coordinate multiple agents.

Core Features & Use Cases

Durable execution and automatic retries across steps.
Idempotent steps with recovery on failure.
Multi-agent orchestration with thread management and cross-step coordination.

Quick Start

To start a simple durable workflow that coordinates two steps, define and register the workflow with the Convex app, then invoke it from a client.

Define a workflow: const flow = workflow.define({ id: "example", args: { userId: v.string() }, handler: async (step, { userId }) => { /* Step calls */ } });
Run the workflow: await flow.run({ userId: "u-123" });

Frequently Asked Questions about Convex Agents Workflows

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

FAQPage Schema

How do I build durable multi-agent workflows that survive server restarts?▼

You can build durable multi-agent workflows that survive server restarts by orchestrating multi-step processes with automatic retries and idempotent recovery within a Convex backend. This ensures reliable execution across long-running tasks without losing progress.

What is idempotent recovery in multi-agent orchestration?▼

Idempotent recovery in multi-agent orchestration ensures that failed workflow steps can be safely retried without causing duplicate side effects. This allows complex agent interactions to automatically resume after failures while maintaining consistent state.

How do I orchestrate long-running tasks across multiple agents in Convex?▼

You orchestrate long-running tasks across multiple agents in Convex by defining a workflow with arguments and a handler, then invoking it from a client. The workflow manages thread coordination and cross-step execution automatically.

Can I retry failed steps in a multi-step agent workflow without duplicating side effects?▼

Yes, you can retry failed steps in a multi-step agent workflow without duplicating side effects because the system supports idempotent step execution. Failed steps recover safely, ensuring multi-agent processes remain consistent across retries.

Does Convex support cross-step coordination for multi-agent interactions?▼

Yes, Convex supports cross-step coordination for multi-agent interactions through durable workflow orchestration with thread management. This enables multiple agents to coordinate reliably across long-running tasks with restart tolerance.