rvf-manage

Export, import, and migrate RVF vector memory files for portable agent knowledge transfer.

70.1k|8.4k|Updated Jun 2, 2025
One-click install
npx skills add https://github.com/ruvnet/claude-flow --skill rvf-manage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rvf-manage
Source: https://github.com/ruvnet/claude-flow/tree/main/plugins/ruflo-rvf/skills/rvf-manage
Command: npx skills add https://github.com/ruvnet/claude-flow --skill rvf-manage

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agent memory stored in one project or platform is hard to back up, share, or move between environments. This Skill manages RVF (Ruflo Vector Format) files so agent memory—including vector embeddings, metadata, and causal relationships—can be exported, imported, and migrated across projects and teams.

Core Features & Use Cases

  • Memory Export & Backup: List stored memories and export patterns to RVF format for backup or archival.
  • Cross-Project Transfer: Move knowledge between projects using CLI transfer commands or import memories from Claude Code.
  • Format Migration & Stats: Upgrade older memory formats and inspect storage metrics like namespaces and entry counts.
  • Use Case: A team finishing a project exports its accumulated agent knowledge as an RVF file, then imports it into a new project so agents retain prior context and learned patterns.

Quick Start

Ask the agent to list all stored memories and export the project-knowledge pattern to an RVF file for transfer to another project.

Frequently Asked Questions about rvf-manage

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

FAQPage Schema
How do I export agent memory to an RVF file?

List stored memories with the memory_list tool, then use the hooks transfer tool with the store action to export patterns. You can also run npx @claude-flow/cli hooks transfer store with a pattern flag from the command line.

How do I transfer agent memory between projects?

Export the memory from the source project using the transfer store command, then run hooks transfer from-project with the source path in the target project. This moves RVF-packaged knowledge including embeddings and metadata.

What data does the RVF format store?

RVF stores 384-dimensional ONNX vector embeddings, metadata such as timestamps, namespaces, and tags, causal relationships between entries, and session context with agent scope.

Can I import memories from Claude Code into RVF?

Yes, the memory_import_claude tool imports existing Claude Code memories into the RVF-backed store, making them available for listing, export, and transfer alongside other entries.

How do I upgrade older memory formats to RVF?

Use the memory_migrate tool, which handles format upgrades for stored entries. After migration, verify the results with memory_stats to confirm storage metrics and entry counts.