V3 Deep Integration

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

Updated May 8, 2026
One-click install
npx skills add https://github.com/FrekiManagarm/d-chambaud --skill v3-deep-integration-frekimanagarm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: V3 Deep Integration
Source: https://github.com/FrekiManagarm/d-chambaud/tree/main/.agents/skills/v3-integration-deep
Command: npx skills add https://github.com/FrekiManagarm/d-chambaud --skill v3-deep-integration-frekimanagarm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agentic-flow.

What problem does it solve? Codex-flow duplicates thousands of lines of orchestration logic (swarm coordination, agent management, task scheduling) that already exist in agentic-flow@alpha, creating maintenance burden and missing out on upstream performance features like Flash Attention and AgentDB. ## Core Features & Use Cases - Adapter Layer Migration: Extends agentic-flow@alpha Agent classes with backward-compatible wrappers, replacing SwarmCoordinator, AgentManager, and TaskScheduler implementations. - 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 Migration with Parity Validation: Runs dual-operation mode, migrates feature-by-feature with parity checks, then removes 10,000+ deprecated lines. - Use Case: A team maintaining a Claude-flow fork wants to cut its orchestration codebase from 15,000+ lines to under 5,000 by delegating swarm, agent, and task logic to agentic-flow@alpha while keeping v2 APIs working. ## Quick Start Ask the agent to design the agentic-flow@alpha adapter layer and plan the phased migration of swarm coordination, agent management, and task execution.

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 Codex-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 mode keeps the old system running during transition.

How do I eliminate duplicate orchestration code between two agent frameworks?▼

Map overlapping components (SwarmCoordinator, AgentManager, TaskScheduler) to their agentic-flow equivalents, extract existing configuration, and delegate to the upstream APIs. This reduces orchestration code from 15,000+ lines to under 5,000.

Does the migration maintain backward compatibility with v2 APIs?▼

Yes, a legacy compatibility layer adapts old API calls to the new agentic-flow interfaces. Migration proceeds feature-by-feature with parity validation before the old system is deprecated.

What performance gains come from Flash Attention and AgentDB integration?▼

Flash Attention targets 2.49x-7.47x speedup with 50-75% memory reduction. AgentDB uses HNSW indexing for 150x-12,500x search improvement with 1536-dimension vectors and cross-agent memory sharing.

What are the limitations of the deep integration approach?▼

The approach depends on agentic-flow@alpha stability and requires careful state synchronization during dual operation. Custom Claude-flow behaviors not covered by upstream features still need specialized extension code.