V3 Deep Integration

Migrates claude-flow onto agentic-flow@alpha adapters to eliminate duplicate orchestration code.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/dmuhoro/EasyTutor --skill v3-deep-integration-dmuhoro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: V3 Deep Integration
Source: https://github.com/dmuhoro/EasyTutor/tree/main/archive/.claude/skills/v3-integration-deep
Command: npx skills add https://github.com/dmuhoro/EasyTutor --skill v3-deep-integration-dmuhoro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agentic-flow.

What problem does it solve? claude-flow maintains over 15,000 lines of orchestration code that largely duplicates agentic-flow@alpha functionality, creating maintenance burden and missing out on upstream performance gains like Flash Attention and AgentDB search. ## Core Features & Use Cases - Adapter Layer Migration: Extends agentic-flow@alpha Agent classes with backward-compatible wrappers so existing claude-flow APIs keep working during transition. - Feature Integration: Wires in SONA learning modes, Flash Attention (2.49x-7.47x speedup), AgentDB HNSW search (150x-12,500x), and 213 MCP tools with 19 hook types. - Phased Code Removal: Replaces SwarmCoordinator, AgentManager, and TaskScheduler with agentic-flow equivalents, cutting orchestration code from 15,000+ to under 5,000 lines. - Use Case: A maintainer planning the v3 architecture runs the three-phase migration (adapter layer, system migration, cleanup) with dual-operation mode to validate feature parity before deprecating legacy systems. ## Quick Start Ask the agent to design the agentic-flow@alpha adapter layer and begin migrating the swarm coordination system using the v3-integration-architect agent.

Frequently Asked Questions about V3 Deep Integration

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

FAQPage Schema
How do I migrate claude-flow to agentic-flow@alpha?

Follow the three-phase plan: build an adapter layer extending agentic-flow Agent classes, migrate swarm coordination, agent management, and task execution systems, then remove deprecated files. Dual-operation mode keeps the old system running during transition.

How much duplicate code does the agentic-flow integration remove?

The integration targets reducing orchestration code from over 15,000 lines to under 5,000. SwarmCoordinator (800+ lines), AgentManager (1,736+ lines), and TaskScheduler (500+ lines) are replaced by agentic-flow equivalents with 50-80% overlap.

What performance gains does Flash Attention integration provide?

Flash Attention from agentic-flow@alpha targets 2.49x-7.47x speedup with 50-75% memory reduction. It supports multi-head, linear, local, and global attention mechanisms through the agentic-flow attention API.

Does the migration maintain backward compatibility with v2?

Yes, the plan includes a legacy compatibility layer in the adapter class, dual-operation mode syncing old and new systems, and feature-by-feature migration with parity validation before deprecating the old system.

What is AgentDB cross-agent memory sharing?

AgentDB enables cross-agent memory sharing using HNSW indexing with 1536-dimensional vectors, targeting 150x-12,500x search speedup over linear search. It is configured through the agentic-flow AgentDB integration class.