🚀PROJECT CHIMERA - IMPLEMENTATION ROADMAP
Phased Implementation Plan with Milestones & Dependencies
Version: 1.0.0 | Date: 2025-01-23 | Timeline: 18 Months Integration: JAEGIS Enhanced System v2.0 | Resource Allocation: 45 Engineers
📋 EXECUTIVE SUMMARY
This roadmap outlines the phased implementation of Project Chimera, a Metacognitive AGI system integrated with JAEGIS Enhanced System v2.0. The implementation is structured in 6 phases over 18 months, with each phase building upon previous achievements while maintaining operational continuity.
Implementation Philosophy
Incremental Delivery: Each phase delivers working functionality
Risk Mitigation: Early validation of critical components
Continuous Integration: Seamless integration with existing JAEGIS systems
Stakeholder Value: Immediate value delivery from Phase 1
🎯 PHASE OVERVIEW
Phase 1: Foundation & Core Infrastructure (Months 1-3)
Phase 2: Cognitive Engine & Security Framework (Months 4-6)
Phase 3: Multi-Agent Ecosystem & Orchestration (Months 7-9)
Phase 4: Governance & Dashboard Suite (Months 10-12)
Phase 5: Advanced Features & Optimization (Months 13-15)
Phase 6: Production Deployment & Scaling (Months 16-18)🏗️ PHASE 1: FOUNDATION & CORE INFRASTRUCTURE
Duration: Months 1-3 | Team Size: 15 Engineers | Budget: $2.5M
Objectives
Establish core infrastructure and development environment
Integrate with existing JAEGIS Enhanced System v2.0
Implement basic security framework
Create foundational protocols and APIs
Key Deliverables
1.1 JAEGIS Integration Layer (Month 1)
Deliverable: Seamless integration with JAEGIS v2.0 orchestrator
Success Criteria:
Zero disruption to existing JAEGIS functionality
<10ms latency overhead for integration calls
100% backward compatibility maintained
Dependencies: JAEGIS v2.0 system access and documentation
Resources: 3 Senior Engineers, 1 Integration Specialist
1.2 Core Infrastructure Setup (Month 1-2)
Deliverable: Kubernetes cluster with GPU support
Success Criteria:
Auto-scaling from 10 to 1000 nodes
99.9% uptime SLA
CUDA/ROCm GPU optimization enabled
Dependencies: Cloud infrastructure provisioning
Resources: 2 DevOps Engineers, 1 Infrastructure Architect
1.3 Protocol Foundation (Month 2)
Deliverable: A2A and MCP protocol implementations
Success Criteria:
A2A protocol compliance certification
<1ms inter-agent communication latency
MCP tool integration working
Dependencies: Protocol specifications and standards
Resources: 3 Protocol Engineers, 1 Standards Specialist
1.4 Security Framework Foundation (Month 3)
Deliverable: Multi-layered security architecture
Success Criteria:
Zero-trust architecture implemented
Cryptographic verification system active
Security audit passed
Dependencies: Security requirements and compliance standards
Resources: 2 Security Engineers, 1 Cryptography Specialist
1.5 Development Environment (Month 3)
Deliverable: Complete CI/CD pipeline with testing
Success Criteria:
Automated testing with 95% code coverage
<5 minute build and deployment time
Integrated security scanning
Dependencies: Development tools and testing frameworks
Resources: 2 DevOps Engineers, 1 QA Engineer
Phase 1 Success Metrics
✅ JAEGIS integration with zero downtime
✅ Infrastructure supporting 100 concurrent agents
✅ Security framework passing penetration testing
✅ CI/CD pipeline with automated deployments
Phase 1 Risks & Mitigation
Risk: JAEGIS integration complexity
Mitigation: Dedicated integration team with JAEGIS expertise
Risk: Infrastructure scaling challenges
Mitigation: Gradual scaling with performance monitoring
🧠 PHASE 2: COGNITIVE ENGINE & SECURITY FRAMEWORK
Duration: Months 4-6 | Team Size: 20 Engineers | Budget: $3.5M
Objectives
Implement Tiered Cognitive Cycle (TCC) Core Engine
Deploy Differentiable Mediator with GPU optimization
Complete multi-layered security architecture
Establish cognitive monitoring and introspection
Key Deliverables
2.1 Tiered Cognitive Cycle Engine (Month 4-5)
Deliverable: Metacognitive reasoning with self-correction
Success Criteria:
Cognitive loops operating at <100ms cycles
Self-correction accuracy >95%
Transparent decision audit trails
Dependencies: Phase 1 infrastructure and protocols
Resources: 4 AI Engineers, 2 Cognitive Scientists, 1 ML Specialist
2.2 Differentiable Mediator (Month 4-6)
Deliverable: GPU-native neuro-symbolic reasoning engine
Success Criteria:
Dolphin library integration with stable API
<50ms inference latency on GPU
Symbolic-neural hybrid processing working
Dependencies: GPU infrastructure and Dolphin library access
Resources: 3 GPU Engineers, 2 ML Engineers, 1 Optimization Specialist
2.3 Advanced Security Implementation (Month 5-6)
Deliverable: Complete multi-layered security architecture
Success Criteria:
VDSA fine-tuning strategy implemented
Real-time token-level analysis active
Dual LLM pattern with isolation working
Dependencies: Phase 1 security foundation
Resources: 3 Security Engineers, 2 ML Security Specialists
2.4 Cognitive Monitoring System (Month 6)
Deliverable: Real-time cognitive performance monitoring
Success Criteria:
Cognitive state tracking with <1ms overhead
Performance optimization recommendations
Introspection engine providing insights
Dependencies: TCC engine and monitoring infrastructure
Resources: 2 Monitoring Engineers, 1 Analytics Specialist
Phase 2 Success Metrics
✅ TCC engine processing 1000+ cognitive cycles/second
✅ Differentiable Mediator achieving target latency
✅ Security framework passing advanced penetration testing
✅ Cognitive monitoring providing actionable insights
Phase 2 Risks & Mitigation
Risk: GPU optimization complexity
Mitigation: Dedicated GPU engineering team with CUDA expertise
Risk: Cognitive engine performance
Mitigation: Iterative optimization with performance benchmarking
🤖 PHASE 3: MULTI-AGENT ECOSYSTEM & ORCHESTRATION
Duration: Months 7-9 | Team Size: 25 Engineers | Budget: $4.0M
Objectives
Deploy Multi-Agent Ecosystem supporting 1000+ agents
Implement Agent Ecosystem Orchestrator
Create Agent Synthesis Engine
Establish Simulated Intervention Environment
Key Deliverables
3.1 Multi-Agent Ecosystem Framework (Month 7-8)
Deliverable: Support for 1000+ heterogeneous agents
Success Criteria:
Agent discovery and registration system
Dynamic scaling to 1000 concurrent agents
A2A protocol compliance across all agents
Dependencies: Phase 2 cognitive engine and protocols
Resources: 5 Agent Engineers, 2 Distributed Systems Engineers
3.2 Agent Ecosystem Orchestrator (Month 7-9)
Deliverable: High-performance A2A protocol orchestrator
Success Criteria:
<1ms agent communication latency
Intelligent workload distribution
Conflict resolution system active
Dependencies: Multi-agent framework and A2A protocols
Resources: 4 Orchestration Engineers, 2 Performance Engineers
3.3 Agent Synthesis Engine (Month 8-9)
Deliverable: Automated agent lifecycle management
Success Criteria:
Elkar framework integration complete
A2A-Python SDK fully implemented
Agent creation to deployment <5 minutes
Dependencies: Agent ecosystem and orchestration
Resources: 3 Synthesis Engineers, 2 SDK Developers
3.4 Cognitive Gym Environment (Month 9)
Deliverable: Safe AGI self-improvement sandbox
Success Criteria:
Isolated testing environment operational
Automated experiment design working
Cognitive flaw detection >90% accuracy
Dependencies: Cognitive engine and security framework
Resources: 3 Simulation Engineers, 2 Safety Engineers
Phase 3 Success Metrics
✅ 1000+ agents operating simultaneously
✅ Agent orchestration with target performance
✅ Agent synthesis pipeline fully automated
✅ Cognitive Gym safely improving AGI capabilities
Phase 3 Risks & Mitigation
Risk: Agent scaling challenges
Mitigation: Gradual scaling with performance monitoring
Risk: Orchestration complexity
Mitigation: Modular design with incremental testing
🏛️ PHASE 4: GOVERNANCE & DASHBOARD SUITE
Duration: Months 10-12 | Team Size: 20 Engineers | Budget: $3.0M
Objectives
Implement Human Governance DAO Portal
Deploy Sovereign AI Government system
Create comprehensive Dashboard Suite
Establish transparent audit systems
Key Deliverables
4.1 Human Governance DAO Portal (Month 10-11)
Deliverable: Secure voting interface with cryptographic verification
Success Criteria:
Zero-knowledge proof voting system
Constitutional amendment workflows
Proof of Impact verification system
Dependencies: Security framework and governance protocols
Resources: 4 Governance Engineers, 2 Cryptography Specialists
4.2 Sovereign AI Government (Month 10-12)
Deliverable: Autonomous ecosystem health monitoring
Success Criteria:
Real-time ecosystem health dashboards
Automated policy execution engine
Transparent governance decision trails
Dependencies: Multi-agent ecosystem and governance portal
Resources: 3 AI Governance Engineers, 2 Policy Engineers
4.3 Dashboard Suite Implementation (Month 11-12)
Deliverable: Five specialized dashboards with real-time data
Success Criteria:
Operations, Performance, Collaboration, Executive, ACI dashboards
Real-time data visualization <1 second latency
Role-based access control implemented
Dependencies: All previous phases for data sources
Resources: 4 Frontend Engineers, 2 Data Visualization Specialists
4.4 Audit & Compliance System (Month 12)
Deliverable: Complete audit trail and compliance reporting
Success Criteria:
Immutable audit logs for all operations
Compliance reporting for SOC 2, ISO 27001
Real-time compliance monitoring
Dependencies: All system components operational
Resources: 2 Compliance Engineers, 1 Audit Specialist
Phase 4 Success Metrics
✅ DAO governance system with active participation
✅ AI government autonomously managing ecosystem
✅ Dashboard suite providing real-time insights
✅ Audit system passing compliance reviews
Phase 4 Risks & Mitigation
Risk: Governance complexity
Mitigation: Iterative governance model with stakeholder feedback
Risk: Dashboard performance
Mitigation: Optimized data pipelines with caching
⚡ PHASE 5: ADVANCED FEATURES & OPTIMIZATION
Duration: Months 13-15 | Team Size: 30 Engineers | Budget: $4.5M
Objectives
Scale to 12,000+ agents
Implement advanced AGI capabilities
Optimize performance across all systems
Enhance security and safety measures
Key Deliverables
5.1 Massive Agent Scaling (Month 13-14)
Deliverable: Support for 12,000+ concurrent agents
Success Criteria:
Linear scaling to 12,000 agents
<2ms average agent communication latency
99.99% system availability
Dependencies: All previous phases optimized
Resources: 6 Scaling Engineers, 3 Performance Engineers
5.2 Advanced AGI Capabilities (Month 13-15)
Deliverable: Enhanced metacognitive and reasoning capabilities
Success Criteria:
Advanced self-improvement algorithms
Cross-domain knowledge transfer
Creative problem-solving capabilities
Dependencies: Cognitive Gym and TCC engine maturity
Resources: 5 AGI Researchers, 3 Cognitive Engineers
5.3 Performance Optimization (Month 14-15)
Deliverable: System-wide performance optimization
Success Criteria:
50% improvement in response times
30% reduction in resource usage
Predictive scaling algorithms
Dependencies: Complete system operational
Resources: 4 Performance Engineers, 2 Optimization Specialists
5.4 Enhanced Security & Safety (Month 15)
Deliverable: Advanced security and safety measures
Success Criteria:
AI safety alignment verification
Advanced threat detection and response
Quantum-resistant cryptography
Dependencies: Security framework and AGI capabilities
Resources: 3 Security Engineers, 2 AI Safety Specialists
Phase 5 Success Metrics
✅ 12,000+ agents operating efficiently
✅ Advanced AGI capabilities demonstrated
✅ Performance targets exceeded
✅ Enhanced security measures validated
Phase 5 Risks & Mitigation
Risk: Scaling bottlenecks
Mitigation: Distributed architecture with horizontal scaling
Risk: AGI safety concerns
Mitigation: Comprehensive safety testing and validation
🌟 PHASE 6: PRODUCTION DEPLOYMENT & SCALING
Duration: Months 16-18 | Team Size: 35 Engineers | Budget: $5.0M
Objectives
Deploy to production environment
Achieve full operational capability
Establish ongoing maintenance and support
Plan for future enhancements
Key Deliverables
6.1 Production Deployment (Month 16-17)
Deliverable: Full production deployment with monitoring
Success Criteria:
Zero-downtime deployment achieved
Production monitoring and alerting active
Disaster recovery procedures tested
Dependencies: All previous phases completed
Resources: 8 DevOps Engineers, 4 Site Reliability Engineers
6.2 Operational Excellence (Month 17-18)
Deliverable: 24/7 operations with SLA compliance
Success Criteria:
99.99% uptime SLA achieved
<100ms response time for critical operations
24/7 support team operational
Dependencies: Production deployment successful
Resources: 6 Operations Engineers, 4 Support Engineers
6.3 User Onboarding & Training (Month 17-18)
Deliverable: Comprehensive user onboarding program
Success Criteria:
User training materials and documentation
Onboarding success rate >95%
User satisfaction score >4.5/5
Dependencies: System fully operational
Resources: 3 Training Engineers, 2 Documentation Specialists
6.4 Future Roadmap Planning (Month 18)
Deliverable: Next-phase development roadmap
Success Criteria:
Stakeholder requirements gathered
Technical roadmap for next 12 months
Resource planning and budgeting complete
Dependencies: Production system operational
Resources: 2 Product Managers, 1 Technical Architect
Phase 6 Success Metrics
✅ Production system meeting all SLAs
✅ Users successfully onboarded and productive
✅ Operations team maintaining system health
✅ Future roadmap approved and funded
Phase 6 Risks & Mitigation
Risk: Production deployment issues
Mitigation: Comprehensive testing and gradual rollout
Risk: User adoption challenges
Mitigation: Extensive training and support programs
📊 RESOURCE ALLOCATION & BUDGET
Total Project Investment
Duration: 18 Months
Total Budget: $22.5M
Peak Team Size: 35 Engineers
Infrastructure Costs: $3.5M
Development Costs: $19.0M
Budget Breakdown by Phase
1
3 months
$2.5M
15
Foundation
2
3 months
$3.5M
20
Cognitive Engine
3
3 months
$4.0M
25
Multi-Agent
4
3 months
$3.0M
20
Governance
5
3 months
$4.5M
30
Optimization
6
3 months
$5.0M
35
Production
Critical Success Factors
✅ Strong technical leadership and architecture
✅ Continuous stakeholder engagement and feedback
✅ Rigorous testing and quality assurance
✅ Proactive risk management and mitigation
✅ Clear communication and project transparency
Next Phase: Detailed Technical Specifications for each component
Last updated