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V3 Deep Integration

Migrates claude-flow to an agentic-flow@alpha extension eliminating duplicate orchestration code.

Updated Jul 16, 2026
Search Tags:#architecture#migration#agentdb#agentic-flow#code deduplication#flash attention#sona
One-click install
npx skills add https://github.com/optimaxin/Tredev_Gems --skill v3-deep-integration-optimaxin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: V3 Deep Integration
Source: https://github.com/optimaxin/Tredev_Gems/tree/main/.claude/skills/v3-integration-deep
Command: npx skills add https://github.com/optimaxin/Tredev_Gems --skill v3-deep-integration-optimaxin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agentic-flow.

What problem does it solve? claude-flow duplicates thousands of lines of orchestration logic (SwarmCoordinator, AgentManager, TaskScheduler) that already exist in agentic-flow@alpha, creating maintenance burden and missing performance gains from SONA learning, Flash Attention, and AgentDB. ## 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 5 SONA learning modes, Flash Attention (2.49x-7.47x speedup), AgentDB HNSW search (150x-12,500x), 213 MCP tools, and 19 hook types. - Phased Code Deduplication: Replaces SwarmCoordinator, AgentManager, and TaskScheduler with agentic-flow equivalents, cutting orchestration code from 15,000+ to under 5,000 lines. - Use Case: A platform team migrating claude-flow v2 to v3 runs the three-phase plan (adapter layer, system migration, cleanup) while validating feature parity at each step. ## Quick Start Ask the v3-integration-architect agent to design the agentic-flow@alpha adapter layer and begin migrating the swarm coordination system.

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?▼

Migrate in three phases: build an adapter layer extending agentic-flow Agent classes, migrate systems one by one (swarm, agent lifecycle, task execution), then remove deprecated files. Dual operation and feature-by-feature parity validation keep v2 functionality intact during transition.

How to integrate Flash Attention into an agent orchestration system?▼

Call the agentic-flow@alpha Flash Attention API with a speedup target of 2.49x-7.47x and 50-75% memory reduction. It supports multi-head, linear, local, and global attention mechanisms through the integration wrapper class.

What SONA learning modes does agentic-flow support?▼

SONA provides five modes: real-time (~0.05ms adaptation), balanced for general use, research for deep exploration, edge for resource-constrained environments, and batch for high-throughput workloads. Modes are set via the agentic-flow SONA interface.

Does the v3 migration maintain backward compatibility with claude-flow v2?▼

Yes, through a gradual migration strategy: dual operation of old and new systems, feature-by-feature migration with parity validation, then complete transition. A legacy compatibility layer adapts old API calls to the new agentic-flow interfaces.

How much code reduction does the deep integration achieve?▼

The target is under 5,000 lines of orchestration code, down from 15,000+. Major removals include SwarmCoordinator (800+ lines), AgentManager (1,736+ lines), and TaskScheduler (500+ lines), replaced by agentic-flow equivalents.

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