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V3 Memory Unification

Migrates claude-flow v3 legacy memory systems to a unified AgentDB backend.

Updated Aug 18, 2026
Search Tags:#migration#performance optimization#agentdb#backward compatibility#claude-flow#sona#memory unification
One-click install
npx skills add https://github.com/wandreandrade2018-maker/claude-config --skill v3-memory-unification-wandreandrade2018-maker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: V3 Memory Unification
Source: https://github.com/wandreandrade2018-maker/claude-config/tree/main/.claude/skills/v3-memory-unification
Command: npx skills add https://github.com/wandreandrade2018-maker/claude-config --skill v3-memory-unification-wandreandrade2018-maker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Claude-flow v3 accumulates seven separate legacy memory systems that fragment agent state, slow down search, and inflate memory usage. This Skill consolidates them into a single AgentDB backend while keeping existing integrations working. ## Core Features & Use Cases - Legacy System Migration: Moves all 7 legacy memory systems into a unified AgentDB backend. - Performance Improvement: Targets 150x-12,500x faster search and 50-75% lower memory usage. - Backward Compatibility: Preserves existing behavior and integrates SONA learning patterns with cross-agent memory sharing. - Use Case: When upgrading a claude-flow v3 deployment, run this migration to unify scattered memory stores into AgentDB without breaking agents that depend on the old systems. ## Quick Start Ask the assistant to migrate the claude-flow v3 legacy memory systems to the unified AgentDB backend while preserving backward compatibility.

Frequently Asked Questions about V3 Memory Unification

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

FAQPage Schema
How do I migrate claude-flow v3 memory systems to AgentDB?▼

Run the migration workflow defined by this Skill, which consolidates all 7 legacy memory systems into the unified AgentDB backend. The process preserves backward compatibility so existing agents continue to function during and after migration.

What performance gains does AgentDB memory unification provide?▼

The migration targets 150x-12,500x faster search performance and 50-75% lower memory usage compared to the legacy memory systems. These targets are validated as part of the migration success metrics.

Does the AgentDB migration break existing claude-flow agents?▼

No, backward compatibility is an explicit requirement of the migration. Existing integrations and SONA learning patterns are preserved, and cross-agent memory sharing remains operational after unification.

What is SONA integration in claude-flow memory migration?▼

SONA learning patterns are integrated into the unified AgentDB backend during migration so learned behaviors carry over. This ensures agents retain their accumulated learning rather than starting from an empty memory store.

Is the V3 Memory Unification skill complete and ready to use?▼

The SKILL.md currently contains frontmatter and success metrics, but several body sections are marked as TODO placeholders awaiting content. The migration goals and validation criteria are defined, but detailed implementation steps are not yet written.

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