workflow-with-memory

Persist tagged project memories across multi-agent workflows with recall and rollback.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/jc180105/.opencode --skill workflow-with-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow-with-memory
Source: https://github.com/jc180105/.opencode/tree/main/.opencode/skills/workflow-with-memory
Command: npx skills add https://github.com/jc180105/.opencode --skill workflow-with-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the challenge of context loss and repetitive handoffs in multi-agent workflows by enabling agents to store, recall, and rollback project state in a persistent memory server.

Core Features & Use Cases

  • Memory tagging by project name to enable cross-session recall and targeted retrieval.
  • Memory recall for predecessors to continue work without re-typing outputs.
  • Rollback and checkpointing to recover from failed milestones.
  • Real-world scenario: a 4-week MVP project with roles like Sprint Prioritizer, UX Researcher, Backend Architect, Frontend Developer.

Quick Start

Install an MCP-compatible memory server and begin by tagging all project memories with the project name to enable recall.

Frequently Asked Questions about workflow-with-memory

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

FAQPage Schema
How do I maintain context across multiple agents in a workflow?

Maintain context across multiple agents by using an MCP-compatible memory server to persist and recall project state. This prevents context loss and eliminates repetitive handoffs between agents in complex, multi-actor workflows.

What causes context loss during multi-agent handoffs and how can I prevent it?

Context loss during multi-agent handoffs occurs when intermediate project state is not persisted. Prevent it by applying an MCP-compatible memory server supporting remember, recall, and rollback operations to retain data across cross-session workflows.

How do I setup persistent memory for a multi-agent project pipeline?

To set up persistent memory for a multi-agent project pipeline, install an MCP-compatible memory server. Mandate tagging all stored memories with the project name to enable targeted recall for agents across cross-session development sprints.

Can I rollback to a previous state if a multi-agent workflow milestone fails?

Yes, you can rollback to a previous state if a multi-agent workflow milestone fails by using the rollback and checkpointing features of a persistent memory server. This allows recovery from failed milestones in complex product development sprints.

Does this multi-agent memory approach require specific server compatibility?

Yes, this multi-agent memory approach requires an MCP-compatible memory server. The server must explicitly support remember, recall, and rollback operations to enable cross-session recall and handoffs for complex multi-actor projects.

When should I use persistent memory in multi-agent development sprints?

Use persistent memory in multi-agent development sprints when working on complex, multi-actor projects like research-to-implementation pipelines or QA workflows. It is essential when requiring cross-session recall, rollback, and handoffs.