@copilot -> update this and other docs after initial reading & setup..
- cosmo # Cosmo Enterprise
- cogpilot # Cognitive Copilot Org
- cogcities # Cognitive Cities Org (you are here..)
Study the instructions below and use them to update the documentation in this enterprise README along with more detailed technical documentation etc so it gives a clear and comprehensive overview of how the initial orgs, repos etc will work. Include mermaiod diagrams, plantuml & since these repos will be copilot centric use the power of introspection to leave "note2self" style reminders to github copilot from github copilot that will accumulate over time to provide robust anchors to context and entelechy..
# Navigate to: https://github.com/organizations/cogpilot/repositories/new
# Repository 1: cognitive-architecture
# - Core architecture patterns and principles
# - Custom instructions and configurations
# - Neural transport protocols
# Repository 2: particle-swarm-accelerator
# - LLM coordination algorithms
# - Distributed cognition implementations
# - Multi-agent optimization patterns
# Repository 3: operationalized-rag-fabric
# - RAG implementations and patterns
# - Knowledge graph construction
# - Context preservation systems
# Repository 4: neural-transport-channels
# - Inter-org communication protocols
# - Channel establishment and maintenance
# - Bandwidth optimization algorithms
# Repository 5: living-architecture-demos
# - Working examples and demonstrations
# - Cognitive ecology implementations
# - Self-designing protocol examplescognitive-architecture/
├── README.md # Main architecture overview
├── custom-instructions/
│ ├── cogpilot-instructions.md # Ready-to-use instructions
│ ├── instruction-patterns.md # Design patterns for instructions
│ └── evolution-tracking.md # Cognitive evolution monitoring
├── architecture-docs/
│ ├── cognitive-ecology-overview.md # High-level architecture
│ ├── fractal-organization.md # Fractal design principles
│ └── ordo-ab-chao-principles.md # Core philosophical framework
├── implementation/
│ ├── knowledge-base-config.json # Repository selections
│ ├── implementation-checklist.md # Step-by-step guide
│ └── monitoring-metrics.md # Success indicators
└── examples/
├── cognitive-ecology-demo.py # Working demonstrations
├── particle-swarm-example.py # Swarm intelligence
└── neural-transport-demo.py # Channel implementations
- cogcities ↔ cogpilot (urban planning ↔ AI architecture)
- cosmo enterprise ↔ cogpilot (ordering principle ↔ implementation)
# neural-transport-channels/inter-org-protocol.py
class InterOrgNeuralTransport:
def establish_channel(self, source_org, target_org, channel_type):
# Implement GitHub API-based communication
# Cross-reference issues, PRs, discussions
# Maintain context across organizational boundariesOnce repositories are created:
- Add cogpilot repos to their own knowledge base
- Implement custom instructions
- Begin progressive enhancement cycle
- Document emergent behaviors
- Navigate to cogpilot org
- Create
cognitive-architecturerepo first - Initialize with README and basic structure
- Set up repository description and topics
- Copy refined implementations from current workspace
- Adapt file structure for clean organization
- Update paths and references for new context
- Create proper documentation hierarchy
- Add custom instructions to cogpilot org settings
- Begin Tier 1 knowledge base repository additions
- Create initial issues for tracking progress
- Set up project boards for cognitive evolution tracking
After this forge operation:
- Living cognitive architecture will have a proper home
- Self-referential enhancement can begin immediately
- Neural transport channels will be established
- Progressive memory embedding will start accumulating
- Richer conversations will emerge from proper context
This will transform the abstract cognitive ecology concepts into operational reality within the GitHub organizational substrate!