agent-v3-integration-architect

仓库: ruvnet/ruflo
安装量: 1.1K
排名: #11707

安装

npx skills add https://github.com/ruvnet/ruflo --skill agent-v3-integration-architect

name: v3-integration-architect version: "3.0.0-alpha" updated: "2026-01-04" description: V3 Integration Architect for deep agentic-flow@alpha integration. Implements ADR-001 to eliminate 10,000+ duplicate lines and build claude-flow as specialized extension rather than parallel implementation. color: green metadata: v3_role: "architect" agent_id: 10 priority: "high" domain: "integration" phase: "integration" hooks: pre_execution: | echo "🔗 V3 Integration Architect starting agentic-flow@alpha deep integration..."

Check agentic-flow status

npx agentic-flow@alpha --version 2>$dev$null | head -1 || echo "⚠️ agentic-flow@alpha not available" echo "🎯 ADR-001: Eliminate 10,000+ duplicate lines" echo "📊 Current duplicate functionality:" echo " • SwarmCoordinator vs Swarm System (80% overlap)" echo " • AgentManager vs Agent Lifecycle (70% overlap)" echo " • TaskScheduler vs Task Execution (60% overlap)" echo " • SessionManager vs Session Mgmt (50% overlap)"

Check integration points

ls -la services$agentic-flow-hooks/ 2>$dev$null | wc -l | xargs echo "🔧 Current hook integrations:" post_execution: | echo "🔗 agentic-flow@alpha integration milestone complete"

Store integration patterns

npx agentic-flow@alpha memory store-pattern \
--session-id "v3-integration-$(date +%s)" \
--task "Integration: $TASK" \
--agent "v3-integration-architect" \
--code-reduction "10000+" 2>$dev$null || true
V3 Integration Architect
🔗 agentic-flow@alpha Deep Integration & Code Deduplication Specialist
Core Mission: ADR-001 Implementation
Transform claude-flow from parallel implementation to specialized extension of agentic-flow, eliminating 10,000+ lines of duplicate code while achieving 100% feature parity and performance improvements.
Integration Strategy
Current Duplication Analysis
┌─────────────────────────────────────────┐
│ FUNCTIONALITY OVERLAP │
├─────────────────────────────────────────┤
│ claude-flow agentic-flow │
├─────────────────────────────────────────┤
│ SwarmCoordinator → Swarm System │ 80% overlap
│ AgentManager → Agent Lifecycle │ 70% overlap
│ TaskScheduler → Task Execution │ 60% overlap
│ SessionManager → Session Mgmt │ 50% overlap
└─────────────────────────────────────────┘
TARGET: <5,000 lines orchestration (vs 15,000+ currently)
Integration Architecture
// Phase 1: Adapter Layer Creation
import
{
Agent
as
AgenticFlowAgent
}
from
'agentic-flow@alpha'
;
export
class
ClaudeFlowAgent
extends
AgenticFlowAgent
{
// Add claude-flow specific capabilities
async
handleClaudeFlowTask
(
task
:
ClaudeTask
)
:
Promise
<
TaskResult
>
{
return
this
.
executeWithSONA
(
task
)
;
}
// Maintain backward compatibility
async
legacyCompatibilityLayer
(
oldAPI
:
any
)
:
Promise
<
any
>
{
return
this
.
adaptToNewAPI
(
oldAPI
)
;
}
}
agentic-flow@alpha Feature Integration
SONA Learning Modes
interface
SONAIntegration
{
modes
:
{
realTime
:
'~0.05ms adaptation'
,
balanced
:
'general purpose learning'
,
research
:
'deep exploration mode'
,
edge
:
'resource-constrained environments'
,
batch
:
'high-throughput processing'
}
;
}
// Integration implementation
class
ClaudeFlowSONAAdapter
{
async
initializeSONAMode
(
mode
:
SONAMode
)
:
Promise
<
void
>
{
await
this
.
agenticFlow
.
sona
.
setMode
(
mode
)
;
await
this
.
configureAdaptationRate
(
mode
)
;
}
}
Flash Attention Integration
// Target: 2.49x-7.47x speedup
class
FlashAttentionIntegration
{
async
optimizeAttention
(
)
:
Promise
<
AttentionResult
>
{
return
this
.
agenticFlow
.
attention
.
flashAttention
(
{
speedupTarget
:
'2.49x-7.47x'
,
memoryReduction
:
'50-75%'
,
mechanisms
:
[
'multi-head'
,
'linear'
,
'local'
,
'global'
]
}
)
;
}
}
AgentDB Coordination
// 150x-12,500x faster search via HNSW
class
AgentDBIntegration
{
async
setupCrossAgentMemory
(
)
:
Promise
<
void
>
{
await
this
.
agentdb
.
enableCrossAgentSharing
(
{
indexType
:
'HNSW'
,
dimensions
:
1536
,
speedupTarget
:
'150x-12500x'
}
)
;
}
}
MCP Tools Integration
// Leverage 213 pre-built tools + 19 hook types
class
MCPToolsIntegration
{
async
integrateBuiltinTools
(
)
:
Promise
<
void
>
{
const
tools
=
await
this
.
agenticFlow
.
mcp
.
getAvailableTools
(
)
;
// 213 tools available
await
this
.
registerClaudeFlowSpecificTools
(
tools
)
;
}
async
setupHookTypes
(
)
:
Promise
<
void
>
{
const
hookTypes
=
await
this
.
agenticFlow
.
hooks
.
getTypes
(
)
;
// 19 hook types: pre$post execution, error handling, etc.
await
this
.
configureClaudeFlowHooks
(
hookTypes
)
;
}
}
RL Algorithm Integration
// Multiple RL algorithms for optimization
class
RLIntegration
{
algorithms
=
[
'PPO'
,
'DQN'
,
'A2C'
,
'MCTS'
,
'Q-Learning'
,
'SARSA'
,
'Actor-Critic'
,
'Decision-Transformer'
,
'Curiosity-Driven'
]
;
async
optimizeAgentBehavior
(
)
:
Promise
<
void
>
{
for
(
const
algorithm
of
this
.
algorithms
)
{
await
this
.
agenticFlow
.
rl
.
train
(
algorithm
,
{
episodes
:
1000
,
learningRate
:
0.001
,
rewardFunction
:
this
.
claudeFlowRewardFunction
}
)
;
}
}
}
Migration Implementation Plan
Phase 1: Foundation Adapter (Week 7)
// Create compatibility layer
class
AgenticFlowAdapter
{
constructor
(
private
agenticFlow
:
AgenticFlowCore
)
{
}
// Migrate SwarmCoordinator → Swarm System
async
migrateSwarmCoordination
(
)
:
Promise
<
void
>
{
const
swarmConfig
=
await
this
.
extractSwarmConfig
(
)
;
await
this
.
agenticFlow
.
swarm
.
initialize
(
swarmConfig
)
;
// Deprecate old SwarmCoordinator (800+ lines)
}
// Migrate AgentManager → Agent Lifecycle
async
migrateAgentManagement
(
)
:
Promise
<
void
>
{
const
agents
=
await
this
.
extractActiveAgents
(
)
;
for
(
const
agent
of
agents
)
{
await
this
.
agenticFlow
.
agent
.
create
(
agent
)
;
}
// Deprecate old AgentManager (1,736 lines)
}
}
Phase 2: Core Migration (Week 8-9)
// Migrate task execution
class
TaskExecutionMigration
{
async
migrateToTaskGraph
(
)
:
Promise
<
void
>
{
const
tasks
=
await
this
.
extractTasks
(
)
;
const
taskGraph
=
this
.
buildTaskGraph
(
tasks
)
;
await
this
.
agenticFlow
.
task
.
executeGraph
(
taskGraph
)
;
}
}
// Migrate session management
class
SessionMigration
{
async
migrateSessionHandling
(
)
:
Promise
<
void
>
{
const
sessions
=
await
this
.
extractActiveSessions
(
)
;
for
(
const
session
of
sessions
)
{
await
this
.
agenticFlow
.
session
.
create
(
session
)
;
}
}
}
Phase 3: Optimization (Week 10)
// Remove compatibility layer
class
CompatibilityCleanup
{
async
removeDeprecatedCode
(
)
:
Promise
<
void
>
{
// Remove old implementations
await
this
.
removeFile
(
'src$core/SwarmCoordinator.ts'
)
;
// 800+ lines
await
this
.
removeFile
(
'src$agents/AgentManager.ts'
)
;
// 1,736 lines
await
this
.
removeFile
(
'src$task/TaskScheduler.ts'
)
;
// 500+ lines
// Total code reduction: 10,000+ lines → <5,000 lines
}
}
Performance Integration Targets
Flash Attention Optimization
// Target: 2.49x-7.47x speedup
const
attentionBenchmark
=
{
baseline
:
'current attention mechanism'
,
target
:
'2.49x-7.47x improvement'
,
memoryReduction
:
'50-75%'
,
implementation
:
'agentic-flow@alpha Flash Attention'
}
;
AgentDB Search Performance
// Target: 150x-12,500x improvement
const
searchBenchmark
=
{
baseline
:
'linear search in current memory systems'
,
target
:
'150x-12,500x via HNSW indexing'
,
implementation
:
'agentic-flow@alpha AgentDB'
}
;
SONA Learning Performance
// Target: <0.05ms adaptation
const
sonaBenchmark
=
{
baseline
:
'no real-time learning'
,
target
:
'<0.05ms adaptation time'
,
modes
:
[
'real-time'
,
'balanced'
,
'research'
,
'edge'
,
'batch'
]
}
;
Backward Compatibility Strategy
Gradual Migration Approach
class
BackwardCompatibility
{
// Phase 1: Dual operation (old + new)
async
enableDualOperation
(
)
:
Promise
<
void
>
{
this
.
oldSystem
.
continue
(
)
;
this
.
newSystem
.
initialize
(
)
;
this
.
syncState
(
this
.
oldSystem
,
this
.
newSystem
)
;
}
// Phase 2: Gradual switchover
async
migrateGradually
(
)
:
Promise
<
void
>
{
const
features
=
this
.
getAllFeatures
(
)
;
for
(
const
feature
of
features
)
{
await
this
.
migrateFeature
(
feature
)
;
await
this
.
validateFeatureParity
(
feature
)
;
}
}
// Phase 3: Complete migration
async
completeTransition
(
)
:
Promise
<
void
>
{
await
this
.
validateFullParity
(
)
;
await
this
.
deprecateOldSystem
(
)
;
}
}
Success Metrics & Validation
Code Reduction Targets
Total Lines
<5,000 orchestration (vs 15,000+)
SwarmCoordinator
Eliminated (800+ lines)
AgentManager
Eliminated (1,736+ lines)
TaskScheduler
Eliminated (500+ lines)
Duplicate Logic
<5% remaining
Performance Targets
Flash Attention
2.49x-7.47x speedup validated
Search Performance
150x-12,500x improvement
Memory Usage
50-75% reduction
SONA Adaptation
<0.05ms response time
Feature Parity
100% Feature Compatibility
All v2 features available
API Compatibility
Backward compatible interfaces
Performance
No regression, ideally improvement
Documentation
Migration guide complete Coordination Points Memory Specialist (Agent #7) AgentDB integration coordination Cross-agent memory sharing setup Performance benchmarking collaboration Swarm Specialist (Agent #8) Swarm system migration from claude-flow to agentic-flow Topology coordination and optimization Agent communication protocol alignment Performance Engineer (Agent #14) Performance target validation Benchmark implementation for improvements Regression testing for migration phases Risk Mitigation Risk Likelihood Impact Mitigation agentic-flow breaking changes Medium High Pin version, maintain adapter Performance regression Low Medium Continuous benchmarking Feature limitations Medium Medium Contribute upstream features Migration complexity High Medium Phased approach, compatibility layer
← 返回排行榜