# Multi-Agent Architecture Implementation Roadmap
**Status:** Planning β Implementation (v3.0)
**Timeline:** Q4 2025 - Q1 2026
**Owner:** CVS Health Enterprise AI Team
---
## π Related Documentation
This is the **phase-by-phase implementation roadmap** for multi-agent orchestration. For related documents:
- **π [Executive Summary](../MULTI_AGENT_EXECUTIVE_SUMMARY.md)**: High-level overview for stakeholders
- **ποΈ [Architecture Specification](MULTI_AGENT_GRAPH_RAG.md)**: Complete technical architecture (v3.1)
- **πΊοΈ This Document**: Implementation roadmap with timelines and code examples
---
## π Overview
This roadmap outlines the step-by-step implementation of multi-agent Graph-RAG orchestration, transforming the MCP server from single-agent context management to PM/Worker/QC architecture.
**Research Foundation:**
- [Multi-Agent Graph-RAG Architecture](MULTI_AGENT_GRAPH_RAG.md) (Technical Specification)
- [Conversation Analysis Validation](../research/CONVERSATION_ANALYSIS.md) (Research Validation)
- [Original Graph-RAG Research](../research/GRAPH_RAG_RESEARCH.md) (Foundational Research)
---
## π― Implementation Phases
### β
Phase 0: Foundation (v2.0-2.3) - COMPLETE
**Status:** β
**COMPLETE**
**Achievements:**
- β
Knowledge Graph with full CRUD operations
- β
Subgraph extraction (`memory_get_subgraph`)
- β
Context enrichment and search
- β
Hierarchical memory architecture
- β
80-test validation suite
**Why this matters for multi-agent:**
These features enable PM agents to create task graphs and QC agents to verify against requirements using subgraph extraction.
---
### π¨ Phase 1: Multi-Agent Foundation (v3.0)
**Target:** December 2025
**Priority:** HIGH - Enables core multi-agent pattern
#### 1.1 Task Locking System
**Objective:** Prevent race conditions when multiple workers claim tasks
**Implementation:**
**Step 1: Add version field to TODO type**
```typescript
// src/types/todo.types.ts
export interface Todo {
// ... existing fields ...
version: number; // β NEW: Optimistic locking
lockedBy?: string; // β NEW: Agent ID holding lock
lockedAt?: Date; // β NEW: When lock was acquired
lockExpiresAt?: Date; // β NEW: Auto-expiry timestamp
}
```
**Step 2: Implement lock acquisition**
```typescript
// src/managers/TodoManager.ts
async lockTodo(
id: string,
agentId: string,
timeoutMs: number = 300000
): Promise<boolean> {
const todo = this.todos.get(id);
if (!todo) throw new Error(`Todo ${id} not found`);
// Check if already locked by another agent
if (todo.lockedBy && todo.lockedBy !== agentId) {
if (todo.lockExpiresAt && new Date() < todo.lockExpiresAt) {
return false; // Still locked by another agent
}
// Lock expired - can claim
}
// Acquire lock
todo.lockedBy = agentId;
todo.lockedAt = new Date();
todo.lockExpiresAt = new Date(Date.now() + timeoutMs);
todo.version++;
return true;
}
async releaseLock(id: string, agentId: string): Promise<void> {
const todo = this.todos.get(id);
if (!todo) throw new Error(`Todo ${id} not found`);
// Only release if this agent holds the lock
if (todo.lockedBy === agentId) {
delete todo.lockedBy;
delete todo.lockedAt;
delete todo.lockExpiresAt;
}
}
```
**Step 3: Add MCP tools**
```typescript
// src/tools/todo.tools.ts
{
name: 'lock_todo',
description: 'Acquire exclusive lock on a TODO task for multi-agent coordination',
inputSchema: {
type: 'object',
properties: {
id: { type: 'string', description: 'Todo ID to lock' },
agentId: { type: 'string', description: 'Agent claiming the lock' },
timeoutMs: {
type: 'number',
description: 'Lock expiry in milliseconds (default 300000 = 5 min)',
default: 300000
}
},
required: ['id', 'agentId']
}
},
{
name: 'release_lock',
description: 'Release lock on a TODO task',
inputSchema: {
type: 'object',
properties: {
id: { type: 'string' },
agentId: { type: 'string' }
},
required: ['id', 'agentId']
}
}
```
**Success Criteria:**
- [ ] Zero race conditions in parallel task claiming
- [ ] Automatic lock expiry after timeout
- [ ] Agent can query available (unlocked) tasks
**Testing:**
```typescript
// testing/task-locking.test.ts
describe('Task Locking', () => {
it('should prevent double claiming', async () => {
const taskId = 'task-1';
const agent1 = 'worker-1';
const agent2 = 'worker-2';
const lock1 = await lockTodo(taskId, agent1);
expect(lock1).toBe(true);
const lock2 = await lockTodo(taskId, agent2);
expect(lock2).toBe(false); // Already locked
});
it('should auto-expire locks', async () => {
const taskId = 'task-1';
await lockTodo(taskId, 'worker-1', 100); // 100ms timeout
await sleep(150);
const lock2 = await lockTodo(taskId, 'worker-2');
expect(lock2).toBe(true); // Lock expired
});
});
```
#### 1.2 Agent Context Isolation
**Objective:** Workers only see task-specific context, not full PM context
**Implementation:**
**Step 1: Add context scope filtering**
```typescript
// src/managers/TodoManager.ts
async getTodoForWorker(id: string): Promise<Todo> {
const todo = this.todos.get(id);
if (!todo) throw new Error(`Todo ${id} not found`);
// Return only task-specific context
return {
...todo,
context: this.filterWorkerContext(todo.context)
};
}
private filterWorkerContext(context: any): any {
// Remove PM research context, keep only:
// - Task requirements
// - Direct dependencies
// - Required file paths
// - Error context (if retry)
return {
requirements: context.requirements,
files: context.files,
dependencies: context.dependencies,
errorContext: context.errorContext // Only for retries
// NO: Full research notes, alternative approaches, etc.
};
}
```
**Step 2: Add MCP tool**
```typescript
{
name: 'get_todo_for_worker',
description: 'Get TODO with worker-scoped context (no PM research)',
inputSchema: {
type: 'object',
properties: {
id: { type: 'string' },
agentId: { type: 'string', description: 'Worker agent ID' }
},
required: ['id', 'agentId']
}
}
```
**Success Criteria:**
- [ ] Worker context <10% of PM context size
- [ ] Workers still have all necessary info to complete task
- [ ] <10% clarification rate (workers rarely need to ask PM)
#### 1.3 Agent Lifecycle Management
**Objective:** Track agent spawning, execution, and termination
**Implementation:**
**Step 1: Create agent registry**
```typescript
// src/managers/AgentManager.ts
export interface Agent {
id: string;
type: 'pm' | 'worker' | 'qc';
status: 'active' | 'idle' | 'terminated';
spawnedAt: Date;
terminatedAt?: Date;
currentTask?: string;
contextSize: number; // Tokens in current context
}
export class AgentManager {
private agents = new Map<string, Agent>();
async spawnAgent(type: 'pm' | 'worker' | 'qc'): Promise<Agent> {
const agent: Agent = {
id: `${type}-${Date.now()}`,
type,
status: 'active',
spawnedAt: new Date(),
contextSize: 0
};
this.agents.set(agent.id, agent);
return agent;
}
async terminateAgent(agentId: string): Promise<void> {
const agent = this.agents.get(agentId);
if (agent) {
agent.status = 'terminated';
agent.terminatedAt = new Date();
// Release any locks held by this agent
await this.releaseAllLocks(agentId);
}
}
async getMetrics() {
return {
activeAgents: Array.from(this.agents.values())
.filter(a => a.status === 'active').length,
avgContextSize: this.calculateAvgContextSize(),
avgLifespan: this.calculateAvgLifespan()
};
}
}
```
**Step 2: Add MCP tools**
```typescript
{
name: 'spawn_agent',
description: 'Spawn a new PM, worker, or QC agent',
inputSchema: {
type: 'object',
properties: {
type: {
type: 'string',
enum: ['pm', 'worker', 'qc'],
description: 'Agent type'
}
},
required: ['type']
}
},
{
name: 'terminate_agent',
description: 'Terminate agent and release resources',
inputSchema: {
type: 'object',
properties: {
agentId: { type: 'string' }
},
required: ['agentId']
}
},
{
name: 'get_agent_metrics',
description: 'Get multi-agent system metrics',
inputSchema: {
type: 'object',
properties: {}
}
}
```
**Success Criteria:**
- [ ] Agent lifecycle tracked from spawn to termination
- [ ] Metrics show avg context lifespan <5 min for workers
- [ ] Automatic cleanup on agent termination
**Deliverables for Phase 1:**
- [ ] 3 new MCP tools: `lock_todo`, `get_todo_for_worker`, `spawn_agent`
- [ ] AgentManager class with lifecycle tracking
- [ ] 15+ tests for locking and isolation
- [ ] Documentation: Multi-agent quick start guide
- [ ] Proof-of-concept: 3 workers claiming 10 tasks with zero conflicts
---
### π¬ Phase 2: Adversarial Validation (v3.1)
**Target:** January 2026
**Priority:** HIGH - Prevents error propagation
#### 2.1 QC Agent Verification System
**Objective:** Verify worker output before storing in graph
**Implementation:**
**Step 1: Define verification schema**
```typescript
// src/types/verification.types.ts
export interface VerificationRule {
id: string;
type: 'required_field' | 'format' | 'dependency' | 'custom';
description: string;
validator: (output: any, context: any) => ValidationResult;
}
export interface ValidationResult {
passed: boolean;
failures: ValidationFailure[];
score: number; // 0-100
}
export interface ValidationFailure {
rule: string;
severity: 'error' | 'warning';
description: string;
suggestedFix?: string;
}
```
**Step 2: Implement verification engine**
```typescript
// src/managers/VerificationManager.ts
export class VerificationManager {
private rules = new Map<string, VerificationRule>();
async verifyTaskOutput(
taskId: string,
output: any
): Promise<ValidationResult> {
const task = await getTodo(taskId);
const subgraph = await memory_get_subgraph(taskId, 2);
const requirements = this.extractRequirements(subgraph);
const failures: ValidationFailure[] = [];
// Run all applicable rules
for (const rule of this.rules.values()) {
const result = rule.validator(output, { task, requirements });
if (!result.passed) {
failures.push(...result.failures);
}
}
return {
passed: failures.filter(f => f.severity === 'error').length === 0,
failures,
score: this.calculateScore(failures)
};
}
async generateCorrectionPrompt(
taskId: string,
failures: ValidationFailure[]
): Promise<string> {
const task = await getTodo(taskId);
return `
Task: ${task.title}
Your previous output had these issues:
${failures.map(f => `- ${f.description}`).join('\n')}
Suggested fixes:
${failures.map(f => f.suggestedFix).filter(Boolean).join('\n')}
Please revise your output to address these issues while maintaining your original approach.
`.trim();
}
}
```
**Step 3: Add MCP tools**
```typescript
{
name: 'verify_task_output',
description: 'QC agent verifies worker output against requirements',
inputSchema: {
type: 'object',
properties: {
taskId: { type: 'string' },
output: { type: 'object', description: 'Worker output to verify' },
agentId: { type: 'string', description: 'QC agent ID' }
},
required: ['taskId', 'output', 'agentId']
}
},
{
name: 'create_correction_task',
description: 'Create correction task for failed verification',
inputSchema: {
type: 'object',
properties: {
parentTaskId: { type: 'string' },
failures: {
type: 'array',
items: { type: 'object' },
description: 'Validation failures'
},
preserveContext: {
type: 'boolean',
default: true,
description: 'Preserve original worker context for retry'
}
},
required: ['parentTaskId', 'failures']
}
}
```
**Success Criteria:**
- [ ] <5% error propagation (QC catches 95%+ of errors)
- [ ] Correction prompts preserve original context
- [ ] <20% worker retry rate
#### 2.2 Audit Trail System
**Objective:** Complete tracking for compliance and debugging
**Implementation:**
**Step 1: Create audit log**
```typescript
// src/types/audit.types.ts
export interface AuditEvent {
id: string;
timestamp: Date;
agentId: string;
agentType: 'pm' | 'worker' | 'qc';
eventType:
| 'task_created'
| 'task_claimed'
| 'task_completed'
| 'task_verified'
| 'task_failed'
| 'correction_generated';
taskId: string;
metadata: any;
}
export class AuditLogger {
private events: AuditEvent[] = [];
async log(event: Omit<AuditEvent, 'id' | 'timestamp'>): Promise<void> {
this.events.push({
...event,
id: `audit-${Date.now()}`,
timestamp: new Date()
});
}
async getTaskHistory(taskId: string): Promise<AuditEvent[]> {
return this.events.filter(e => e.taskId === taskId);
}
async exportForCompliance(): Promise<string> {
// Export audit trail in compliance format
return JSON.stringify(this.events, null, 2);
}
}
```
**Success Criteria:**
- [ ] Every agent action logged
- [ ] Complete task history reconstructable from audit log
- [ ] Export format suitable for compliance review
**Deliverables for Phase 2:**
- [ ] VerificationManager with rule engine
- [ ] 2 new MCP tools: `verify_task_output`, `create_correction_task`
- [ ] Audit logging system
- [ ] 10+ tests for verification logic
- [ ] Documentation: QC agent workflow guide
---
### π§Ή Phase 3: Context Deduplication (v3.2)
**Target:** February 2026
**Priority:** MEDIUM - Optimization for scale
#### 3.1 Context Fingerprinting
**Objective:** Detect duplicate context across agents
**Implementation:**
```typescript
// src/utils/deduplication.ts
import crypto from 'crypto';
export class ContextDeduplicator {
private fingerprints = new Map<string, ContextFingerprint>();
fingerprint(content: string): string {
// Normalize before hashing
const normalized = this.normalize(content);
return crypto.createHash('sha256').update(normalized).digest('hex');
}
private normalize(content: string): string {
return content
.toLowerCase()
.replace(/\s+/g, ' ') // Normalize whitespace
.replace(/['"]/g, '') // Remove quotes
.trim();
}
deduplicate(contexts: string[]): string[] {
const seen = new Set<string>();
return contexts.filter(content => {
const hash = this.fingerprint(content);
if (seen.has(hash)) return false;
seen.set(hash);
return true;
});
}
async getDeduplicationRate(): Promise<number> {
const totalContexts = this.fingerprints.size;
const uniqueHashes = new Set(
Array.from(this.fingerprints.values()).map(f => f.hash)
).size;
return 1 - (uniqueHashes / totalContexts);
}
}
```
**Success Criteria:**
- [ ] >80% deduplication rate across agent fleet
- [ ] <10ms overhead per deduplication check
#### 3.2 Smart Context Merging
**Objective:** Consolidate redundant information
**Success Criteria:**
- [ ] Zero information loss in merge operations
- [ ] Merged contexts are semantically equivalent to originals
**Deliverables for Phase 3:**
- [ ] ContextDeduplicator utility
- [ ] Deduplication metrics endpoint
- [ ] 8+ tests for fingerprinting and merging
- [ ] Performance benchmarks
---
### π Phase 4: Scale & Performance (v3.3)
**Target:** March 2026
**Priority:** LOW - Scale beyond 10 workers
#### 4.1 Distributed Locking (Redis)
**Objective:** Replace optimistic locking with distributed locks
**Implementation:** Move from in-memory version checks to Redis-based distributed locks
**Success Criteria:**
- [ ] Support 50+ concurrent workers
- [ ] <1% lock conflict rate
- [ ] <50ms P99 task claim latency
#### 4.2 Agent Pool Management
**Objective:** Dynamic worker spawning and lifecycle
**Success Criteria:**
- [ ] Auto-scale workers based on task queue depth
- [ ] Health checks and automatic worker restart
- [ ] Pool metrics and observability
**Deliverables for Phase 4:**
- [ ] Redis integration for distributed locking
- [ ] AgentPool class with auto-scaling
- [ ] Performance monitoring dashboard
- [ ] Load testing: 100 tasks, 50 workers
---
## π Phase 4: Deployment Infrastructure (v3.1)
**Target:** Q1 2026
**Priority:** HIGH - Production readiness
### 4.1 Remote Centralized Server
**Objective:** Deploy as centralized memory service for distributed agent teams
**Architecture:**
```
βββββββββββββββββββ βββββββββββββββββββ
β Agent Team A β β Agent Team B β
β (VSCode) β β (Claude Desktop)β
ββββββββββ¬βββββββββ ββββββββββ¬βββββββββ
β β
β HTTPS + Auth β
ββββββββββββ¬ββββββββββββββββββ
β
ββββββββββββΌβββββββββββ
β MCP Memory Server β
β (Centralized) β
β β
β - HTTP/WebSocket β
β - Authentication β
β - Multi-tenancy β
β - Rate limiting β
ββββββββββββ¬βββββββββββ
β
ββββββββββββΌβββββββββββ
β Persistent Storage β
β (PostgreSQL/Redis) β
βββββββββββββββββββββββ
```
#### Implementation Steps
**Step 1: HTTP Server Wrapper**
```typescript
// src/server/http-server.ts
import express from 'express';
import { MCPServer } from './mcp-server.js';
import { authenticateRequest } from './middleware/auth.js';
import { rateLimiter } from './middleware/rate-limit.js';
export class HttpMcpServer {
private app: express.Application;
private mcpServer: MCPServer;
constructor() {
this.app = express();
this.mcpServer = new MCPServer();
this.setupMiddleware();
this.setupRoutes();
}
private setupMiddleware() {
this.app.use(express.json());
this.app.use(authenticateRequest);
this.app.use(rateLimiter);
}
private setupRoutes() {
// MCP tool endpoints
this.app.post('/mcp/call/:toolName', async (req, res) => {
const { toolName } = req.params;
const { arguments: args } = req.body;
const userId = req.user.id;
try {
const result = await this.mcpServer.callTool(toolName, args, userId);
res.json({ success: true, result });
} catch (error) {
res.status(500).json({ success: false, error: error.message });
}
});
// Health check
this.app.get('/health', (req, res) => {
res.json({ status: 'healthy', version: '3.1.0' });
});
}
listen(port: number) {
this.app.listen(port, () => {
console.log(`MCP HTTP Server listening on port ${port}`);
});
}
}
```
**Step 2: Authentication Middleware**
```typescript
// src/server/middleware/auth.ts
import jwt from 'jsonwebtoken';
export async function authenticateRequest(req, res, next) {
const token = req.headers.authorization?.replace('Bearer ', '');
if (!token) {
return res.status(401).json({ error: 'No token provided' });
}
try {
const decoded = jwt.verify(token, process.env.JWT_SECRET);
req.user = {
id: decoded.userId,
teamId: decoded.teamId,
permissions: decoded.permissions
};
next();
} catch (error) {
return res.status(401).json({ error: 'Invalid token' });
}
}
```
**Step 3: Multi-Tenancy Support**
```typescript
// src/managers/TodoManager.ts
export class TodoManager {
private todos: Map<string, Map<string, TodoItem>>; // teamId -> todoId -> todo
constructor() {
this.todos = new Map();
}
createTodo(teamId: string, todo: TodoItem): TodoItem {
if (!this.todos.has(teamId)) {
this.todos.set(teamId, new Map());
}
const teamTodos = this.todos.get(teamId)!;
teamTodos.set(todo.id, todo);
return todo;
}
getTodos(teamId: string): TodoItem[] {
const teamTodos = this.todos.get(teamId);
return teamTodos ? Array.from(teamTodos.values()) : [];
}
}
```
**Step 4: Database Persistence**
```typescript
// src/persistence/database.ts
import { Pool } from 'pg';
export class DatabasePersistence {
private pool: Pool;
constructor() {
this.pool = new Pool({
host: process.env.DB_HOST,
database: process.env.DB_NAME,
user: process.env.DB_USER,
password: process.env.DB_PASSWORD,
});
}
async saveTodo(teamId: string, todo: TodoItem): Promise<void> {
await this.pool.query(
`INSERT INTO todos (id, team_id, data, created_at, updated_at)
VALUES ($1, $2, $3, NOW(), NOW())
ON CONFLICT (id) DO UPDATE SET data = $3, updated_at = NOW()`,
[todo.id, teamId, JSON.stringify(todo)]
);
}
async loadTodos(teamId: string): Promise<TodoItem[]> {
const result = await this.pool.query(
`SELECT data FROM todos WHERE team_id = $1 AND deleted_at IS NULL`,
[teamId]
);
return result.rows.map(row => row.data);
}
}
```
### 4.2 Deployment Configurations
**Docker Compose:**
```yaml
# docker compose.yml
version: '3.8'
services:
mcp-server:
build: .
ports:
- "3000:3000"
environment:
- NODE_ENV=production
- DB_HOST=postgres
- REDIS_URL=redis://redis:6379
- JWT_SECRET=${JWT_SECRET}
depends_on:
- postgres
- redis
postgres:
image: postgres:15
environment:
- POSTGRES_DB=mcp_memory
- POSTGRES_USER=mcp
- POSTGRES_PASSWORD=${DB_PASSWORD}
volumes:
- postgres_data:/var/lib/postgresql/data
redis:
image: redis:7-alpine
volumes:
- redis_data:/data
volumes:
postgres_data:
redis_data:
```
**Kubernetes Deployment:**
```yaml
# k8s/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: mcp-memory-server
spec:
replicas: 3
selector:
matchLabels:
app: mcp-memory
template:
metadata:
labels:
app: mcp-memory
spec:
containers:
- name: mcp-server
image: mcp-memory-server:3.1.0
ports:
- containerPort: 3000
env:
- name: DB_HOST
valueFrom:
secretKeyRef:
name: db-credentials
key: host
resources:
requests:
memory: "512Mi"
cpu: "500m"
limits:
memory: "1Gi"
cpu: "1000m"
```
---
## π’ Phase 5: Enterprise Features (v3.2)
**Target:** Q2 2026
**Priority:** CRITICAL - Enterprise production requirements
### 5.1 Audit Trail System
**Objective:** Complete audit trail for compliance and debugging
**Implementation:**
```typescript
// src/types/audit.types.ts
export interface AuditEvent {
id: string;
timestamp: Date;
eventType: 'CREATE' | 'UPDATE' | 'DELETE' | 'LOCK' | 'VERIFY';
resourceType: 'TODO' | 'GRAPH_NODE' | 'GRAPH_EDGE';
resource: string;
agentId: string;
agentType: 'PM' | 'WORKER' | 'QC' | 'USER';
teamId: string;
action: string;
before?: any;
after?: any;
metadata: {
requestId: string;
sessionId: string;
ipAddress?: string;
userAgent?: string;
};
}
export interface AuditQuery {
teamId: string;
startDate?: Date;
endDate?: Date;
agentId?: string;
resourceType?: string;
eventType?: string;
}
```
**Audit Logger:**
```typescript
// src/managers/AuditManager.ts
export class AuditManager {
private events: AuditEvent[] = [];
private db: DatabasePersistence;
async logEvent(event: Omit<AuditEvent, 'id' | 'timestamp'>): Promise<void> {
const auditEvent: AuditEvent = {
...event,
id: generateId('audit'),
timestamp: new Date()
};
// Store in memory for fast access
this.events.push(auditEvent);
// Persist to database
await this.db.saveAuditEvent(auditEvent);
// If critical event, also log to external system
if (this.isCriticalEvent(event)) {
await this.sendToExternalAudit(auditEvent);
}
}
async queryEvents(query: AuditQuery): Promise<AuditEvent[]> {
return this.db.queryAuditEvents(query);
}
async generateAuditReport(
teamId: string,
startDate: Date,
endDate: Date
): Promise<AuditReport> {
const events = await this.queryEvents({ teamId, startDate, endDate });
return {
period: { start: startDate, end: endDate },
totalEvents: events.length,
eventsByType: this.groupByType(events),
agentActivity: this.groupByAgent(events),
anomalies: this.detectAnomalies(events),
compliance: this.checkCompliance(events)
};
}
}
```
### 5.2 Agent Activity Tracking
**Objective:** Monitor agent behavior and performance
```typescript
// src/managers/AgentTracker.ts
export interface AgentMetrics {
agentId: string;
agentType: 'PM' | 'WORKER' | 'QC';
teamId: string;
metrics: {
tasksCreated: number;
tasksCompleted: number;
tasksVerified: number;
averageTaskDuration: number;
successRate: number;
errorRate: number;
lockConflicts: number;
};
activityLog: {
timestamp: Date;
action: string;
duration: number;
status: 'success' | 'failure';
}[];
}
export class AgentTracker {
private metrics: Map<string, AgentMetrics> = new Map();
async trackAgentAction(
agentId: string,
action: string,
startTime: Date,
status: 'success' | 'failure'
): Promise<void> {
const duration = Date.now() - startTime.getTime();
let agent = this.metrics.get(agentId);
if (!agent) {
agent = this.initializeAgentMetrics(agentId);
this.metrics.set(agentId, agent);
}
agent.activityLog.push({
timestamp: new Date(),
action,
duration,
status
});
this.updateMetrics(agent, action, status, duration);
}
async getAgentMetrics(agentId: string): Promise<AgentMetrics | null> {
return this.metrics.get(agentId) || null;
}
async getTeamMetrics(teamId: string): Promise<AgentMetrics[]> {
return Array.from(this.metrics.values())
.filter(m => m.teamId === teamId);
}
async detectAnomalousAgents(teamId: string): Promise<string[]> {
const teamMetrics = await this.getTeamMetrics(teamId);
const anomalous: string[] = [];
for (const agent of teamMetrics) {
// High error rate
if (agent.metrics.errorRate > 0.5) {
anomalous.push(agent.agentId);
}
// Excessive lock conflicts
if (agent.metrics.lockConflicts > 10) {
anomalous.push(agent.agentId);
}
// Low success rate
if (agent.metrics.successRate < 0.5) {
anomalous.push(agent.agentId);
}
}
return [...new Set(anomalous)];
}
}
```
### 5.3 Validation Chain
**Objective:** End-to-end validation with provenance tracking
```typescript
// src/managers/ValidationChain.ts
export interface ValidationStep {
stepId: string;
stepType: 'CONTEXT_VERIFY' | 'OUTPUT_VERIFY' | 'DEPENDENCY_CHECK' | 'SECURITY_SCAN';
validator: string; // Agent ID
timestamp: Date;
status: 'passed' | 'failed' | 'warning';
findings: string[];
evidence: any;
}
export interface ValidationChain {
taskId: string;
chainId: string;
steps: ValidationStep[];
finalStatus: 'valid' | 'invalid' | 'pending';
createdBy: string;
createdAt: Date;
completedAt?: Date;
}
export class ValidationChainManager {
private chains: Map<string, ValidationChain> = new Map();
async startValidationChain(taskId: string, creatorId: string): Promise<string> {
const chain: ValidationChain = {
taskId,
chainId: generateId('chain'),
steps: [],
finalStatus: 'pending',
createdBy: creatorId,
createdAt: new Date()
};
this.chains.set(chain.chainId, chain);
return chain.chainId;
}
async addValidationStep(
chainId: string,
step: Omit<ValidationStep, 'stepId' | 'timestamp'>
): Promise<void> {
const chain = this.chains.get(chainId);
if (!chain) throw new Error(`Chain ${chainId} not found`);
const validationStep: ValidationStep = {
...step,
stepId: generateId('step'),
timestamp: new Date()
};
chain.steps.push(validationStep);
// Auto-complete chain if all steps done
if (this.isChainComplete(chain)) {
chain.finalStatus = this.calculateFinalStatus(chain);
chain.completedAt = new Date();
}
}
async getValidationChain(chainId: string): Promise<ValidationChain | null> {
return this.chains.get(chainId) || null;
}
async getTaskValidation(taskId: string): Promise<ValidationChain[]> {
return Array.from(this.chains.values())
.filter(c => c.taskId === taskId);
}
private calculateFinalStatus(chain: ValidationChain): 'valid' | 'invalid' {
const hasFailed = chain.steps.some(s => s.status === 'failed');
return hasFailed ? 'invalid' : 'valid';
}
}
```
### 5.4 Compliance & Reporting
**Objective:** Generate compliance reports for enterprise requirements
```typescript
// src/reporting/ComplianceReporter.ts
export interface ComplianceReport {
reportId: string;
teamId: string;
period: { start: Date; end: Date };
generated: Date;
summary: {
totalTasks: number;
validatedTasks: number;
failedValidations: number;
complianceRate: number;
};
agentActivity: {
totalAgents: number;
activeAgents: number;
anomalousAgents: string[];
};
auditTrail: {
totalEvents: number;
criticalEvents: number;
securityEvents: number;
};
violations: {
type: string;
severity: 'LOW' | 'MEDIUM' | 'HIGH' | 'CRITICAL';
description: string;
taskId: string;
agentId: string;
}[];
recommendations: string[];
}
export class ComplianceReporter {
constructor(
private auditManager: AuditManager,
private agentTracker: AgentTracker,
private validationChain: ValidationChainManager
) {}
async generateReport(
teamId: string,
startDate: Date,
endDate: Date
): Promise<ComplianceReport> {
// Gather data from all sources
const auditEvents = await this.auditManager.queryEvents({ teamId, startDate, endDate });
const agentMetrics = await this.agentTracker.getTeamMetrics(teamId);
const anomalousAgents = await this.agentTracker.detectAnomalousAgents(teamId);
// Analyze compliance
const violations = this.detectViolations(auditEvents, agentMetrics);
const complianceRate = this.calculateComplianceRate(auditEvents, violations);
return {
reportId: generateId('report'),
teamId,
period: { start: startDate, end: endDate },
generated: new Date(),
summary: {
totalTasks: this.countTasks(auditEvents),
validatedTasks: this.countValidatedTasks(auditEvents),
failedValidations: this.countFailedValidations(auditEvents),
complianceRate
},
agentActivity: {
totalAgents: agentMetrics.length,
activeAgents: agentMetrics.filter(m => m.metrics.tasksCompleted > 0).length,
anomalousAgents
},
auditTrail: {
totalEvents: auditEvents.length,
criticalEvents: auditEvents.filter(e => this.isCritical(e)).length,
securityEvents: auditEvents.filter(e => e.eventType === 'VERIFY').length
},
violations,
recommendations: this.generateRecommendations(violations, agentMetrics)
};
}
async exportReport(report: ComplianceReport, format: 'JSON' | 'PDF' | 'CSV'): Promise<Buffer> {
switch (format) {
case 'JSON':
return Buffer.from(JSON.stringify(report, null, 2));
case 'PDF':
return this.generatePDF(report);
case 'CSV':
return this.generateCSV(report);
}
}
}
```
### 5.5 Rate Limiting & Quotas
**Objective:** Prevent abuse and ensure fair resource usage
```typescript
// src/middleware/rate-limit.ts
export interface TeamQuota {
teamId: string;
limits: {
requestsPerMinute: number;
requestsPerHour: number;
maxStorageMB: number;
maxAgents: number;
};
current: {
requestsThisMinute: number;
requestsThisHour: number;
storageMB: number;
activeAgents: number;
};
}
export class RateLimiter {
private quotas: Map<string, TeamQuota> = new Map();
async checkQuota(teamId: string): Promise<{ allowed: boolean; reason?: string }> {
const quota = this.quotas.get(teamId);
if (!quota) return { allowed: true };
// Check requests per minute
if (quota.current.requestsThisMinute >= quota.limits.requestsPerMinute) {
return { allowed: false, reason: 'Rate limit: requests per minute exceeded' };
}
// Check storage
if (quota.current.storageMB >= quota.limits.maxStorageMB) {
return { allowed: false, reason: 'Storage quota exceeded' };
}
return { allowed: true };
}
async recordRequest(teamId: string): Promise<void> {
const quota = this.quotas.get(teamId);
if (!quota) return;
quota.current.requestsThisMinute++;
quota.current.requestsThisHour++;
}
}
```
---
## π Success Metrics
### Phase 4 (Deployment)
- β
99.9% uptime SLA
- β
<100ms p95 latency for API calls
- β
Support for 100+ concurrent agents
- β
Zero-downtime deployments
### Phase 5 (Enterprise)
- β
Complete audit trail for all operations
- β
Real-time anomaly detection (<5min)
- β
Compliance report generation (<1min)
- β
100% validation coverage for critical tasks
- β
GDPR/SOC2 compliance ready
---
## π― Long-term Vision (v4.0+)
### Advanced Features
- **AI-powered anomaly detection**: ML models to detect unusual agent behavior
- **Predictive scaling**: Auto-scale based on predicted agent workload
- **Cross-organization sharing**: Secure memory sharing between teams
- **Blockchain audit trail**: Immutable audit logs for critical operations
- **Advanced analytics**: Task completion prediction, bottleneck detection
---
**Last Updated:** 2025-10-13
**Next Review:** 2026-01-01
---
## Appendix: Example POC Code
### PM Agent Creating Task Graph
```typescript
// Example: PM agent workflow
const pm = {
id: 'pm-1',
type: 'pm' as const
};
// 1. Research phase (PM has full context)
const requirements = await researchRequirements("Build auth system");
// 2. Create task graph
const tasks = [
await create_todo({
title: "Design user model",
description: requirements.userModel,
context: {
requirements: requirements.userModel,
files: ['src/models/']
}
}),
await create_todo({
title: "Implement JWT middleware",
description: requirements.jwt,
context: {
requirements: requirements.jwt,
files: ['src/middleware/'],
dependencies: [tasks[0].id] // Depends on user model
}
}),
// ... more tasks
];
// 3. Link dependencies
await memory_add_edge(tasks[1].id, 'depends_on', tasks[0].id);
```
### Worker Agent Claiming and Executing Task
```typescript
// Example: Worker agent workflow
const worker = {
id: 'worker-1',
type: 'worker' as const
};
// 1. Claim task
const availableTasks = await list_todos({ status: 'pending' });
const task = availableTasks[0];
const locked = await lock_todo({
id: task.id,
agentId: worker.id,
timeoutMs: 300000 // 5 min
});
if (!locked) {
// Try different task
return;
}
// 2. Pull clean context (only task-specific)
const taskContext = await get_todo_for_worker({
id: task.id,
agentId: worker.id
});
// 3. Execute (worker has ZERO PM context)
const output = await executeTask(taskContext);
// 4. Store output
await update_todo({
id: task.id,
status: 'completed',
context: {
...taskContext.context,
output: output
}
});
// 5. Release lock
await release_lock({ id: task.id, agentId: worker.id });
// 6. Terminate (context naturally pruned)
await terminate_agent({ agentId: worker.id });
```
### QC Agent Verifying Output
```typescript
// Example: QC agent workflow
const qc = {
id: 'qc-1',
type: 'qc' as const
};
// 1. Get completed tasks
const completedTasks = await list_todos({ status: 'completed' });
for (const task of completedTasks) {
// 2. Pull task + subgraph for verification
const taskData = await get_todo({ id: task.id });
const subgraph = await memory_get_subgraph({
startNodeId: task.id,
depth: 2
});
// 3. Verify against requirements
const result = await verify_task_output({
taskId: task.id,
output: taskData.context.output,
agentId: qc.id
});
// 4. Decision
if (result.passed) {
// β
Pass
await update_todo({
id: task.id,
status: 'completed',
context: {
...taskData.context,
verified: true,
verifiedBy: qc.id,
verifiedAt: new Date()
}
});
} else {
// β Fail - create correction task
await create_correction_task({
parentTaskId: task.id,
failures: result.failures,
preserveContext: true
});
}
}
```