
Rvf Manage
- 652 installs
- 67k repo stars
- Updated August 4, 2026
- ruvnet/ruflo
rvf-manage is a Claude Code skill that imports, exports, lists, migrates, and deletes RVF (Ruflo Vector Format) agent memory files for developers who need portable, transferable context across projects and platforms.
About
rvf-manage is a Claude Code skill for managing RVF (Ruflo Vector Format) files that store portable agent memory. The skill exposes six CLI operations—import, export, list, migrate, stats, and delete—and routes work through eight claude-flow MCP memory tools plus Bash for backup, cross-project transfer, and team knowledge sharing. Developers reach for rvf-manage when an agent session must persist context outside a single repo, when migrating between Claude projects, or when auditing stored memory footprint before cleanup. It pairs naturally with Ruflo agent workflows that already emit RVF artifacts and expect repeatable memory hygiene without manual file surgery.
- Centralized management of multiple agent instances
- Real-time inspection and state monitoring of running agents
- Workflow orchestration and lifecycle commands
- Seamless integration with ruvnet/ruflo agent ecosystem
- Supports 435+ active installations across indie builders
Rvf Manage by the numbers
- 652 all-time installs (skills.sh)
- +6 installs in the week ending Aug 5, 2026 (Skillselion tracking)
- Ranked #1,503 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/ruvnet/ruflo --skill rvf-manageAdd your badge
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| Installs | 652 |
|---|---|
| repo stars | ★ 67k |
| Last updated | August 4, 2026 |
| Repository | ruvnet/ruflo ↗ |
How do you export and migrate portable agent memory?
Orchestrate, inspect, and control multiple AI agent instances and workflows from one unified interface.
Who is it for?
Developers running multi-project Claude Code agents who need backup, audit, and cross-environment memory transfer via RVF.
Skip if: Developers who only need ephemeral single-session context with no backup, migration, or shared memory requirements.
When should I use this skill?
The user asks to export, import, list, migrate, stats-check, or delete RVF agent memory files.
What you get
RVF memory files, migration reports, memory statistics, and cleaned or imported agent context stores.
- RVF memory files
- Migration and stats reports
By the numbers
- Exposes 6 CLI operations: import, export, list, migrate, stats, delete
- Integrates 8 claude-flow MCP memory tools
Files
RVF Management
Manage RVF files for portable, transferable agent memory.
When to use
When you need to export agent memory to RVF format for backup, transfer between projects, or share knowledge between teams.
Steps
1. List memories — call mcp__claude-flow__memory_list to see all stored memories 2. Export — use the mcp__claude-flow__hooks_transfer tool with store action to export patterns 3. Import — call mcp__claude-flow__memory_import_claude to import from Claude Code memories 4. Migrate — call mcp__claude-flow__memory_migrate for format upgrades 5. Stats — call mcp__claude-flow__memory_stats for storage metrics
RVF format
RVF (Ruflo Vector Format) stores:
- Vector embeddings (384-dim ONNX)
- Metadata (timestamps, namespaces, tags)
- Causal relationships between entries
- Session context and agent scope
Transfer between projects
npx @claude-flow/cli@latest hooks transfer store --pattern "project-knowledge"
npx @claude-flow/cli@latest hooks transfer from-project --source /path/to/other/projectRelated skills
How it compares
Choose rvf-manage over ad-hoc JSON dumps when you need structured RVF portability with MCP-backed migration and stats.
FAQ
What is RVF format in rvf-manage?
RVF (Ruflo Vector Format) is the portable file format rvf-manage reads and writes for agent memory. The skill exports session knowledge into RVF for backup or transfer, then imports RVF into another project without manual vector editing.
Which MCP tools does rvf-manage use?
rvf-manage calls eight claude-flow MCP memory tools: memory_store, memory_retrieve, memory_list, memory_delete, memory_stats, memory_import_claude, memory_migrate, and hooks_transfer, plus Bash for file operations.