prole/docs/patent.txt
chrisfu a069989315 Rename prole-db to knoe-db, add knoe-auth as cluster-internal KDC
Itemized changes:

1. knoe-auth: New cluster-internal KDC and SSO gateway service
   - Created etc/init_knoe_auth.sh based on init_kdc.sh with knoe-auth naming
   - Namespace defaults to SERVICE_NAMESPACE (knoe-system)
   - ConfigMap: knoe-auth-kdc-config, Secret: knoe-auth-secrets
   - Legacy cleanup removes old auth/dog/authority deployments

2. Orchestration: knoe-auth initializes before CloudNativePG
   - Updated prole.sh to insert init_knoe_auth.sh as step 2 (before CNPG)
   - Renumbered all subsequent initialization steps

3. Kong routing: Updated init_kong.sh to route to knoe-auth in SERVICE_NAMESPACE

4. Comment/reference updates for knoe-auth
   - Updated init_common_services.sh, init_service_layer.sh, init_kerberos.sh

5. prole-db renamed to knoe-db across the entire codebase
   - Renamed prole-db/ directory to knoe-db/
   - Renamed all prole-db Kubernetes manifests (deploy/opentofu, k8s/)
   - Renamed scripts: docker-root-knoe-db.sh, docker-run-knoe-db.sh, test-cnpg-knoe-db.sh
   - Renamed etc/init_prole-db-reset.sh to etc/init_knoe-db-reset.sh
   - Renamed etc/prole-db-passwwd.sh to etc/knoe-db-passwwd.sh
   - Renamed mock_val counterparts accordingly
   - Renamed tests/etc/test_init_prole-db-reset.sh to test_init_knoe-db-reset.sh
   - Renamed docs/prole-db-documentation-mcp-architecture.md to knoe-db variant
   - Renamed modes/k3d/prole-db/ to modes/k3d/knoe-db/
   - Renamed prole-db.iml to knoe-db.iml

6. Configuration updates
   - Updated conf/dev, conf/prod, conf/test, conf/service prole.cfg files
   - Updated conf/port-mapping.cfg
   - Updated etc/prole_cfg.sh and mock_val/prole_cfg.sh
   - Updated service/prole.cfg

7. Kubernetes manifests and deploy configuration
   - Updated deploy/opentofu/k3s ArgoCD application YAMLs
   - Updated kong-configmap.yaml and kustomization.yaml
   - Updated k3s/kong-config.yml and prole-resources.yaml
   - Updated prole-mssql-db deployment YAMLs
   - Updated supabase helm render and deploy scripts

8. Infrastructure and GCP Terraform
   - Updated deploy/gcp/terraform: folders, groups, IAM, service-projects

9. Python/installer code updates
   - Updated knoe/core: actions, build_context, controller, env, milestones
   - Updated knoe/milestone.py
   - Updated knoe/ui/screens: cfg, database, database_options, deploy, docker,
     navigation, security, services, validate
   - Updated knoe.spec, status.py

10. Shell script updates
    - Updated etc/: build_db, init_cloudnative_pg, init_cnpg_backup,
      init_db_manager, init_forgejo, init_gitlab, init_monitoring, init_openbao,
      init_port_forwards, init_postgrest, init_supabase_ports, status
    - Updated mock_val/ counterparts for all above scripts
    - Updated prole-net/init-prole-dns.sh
    - Updated bin/prole-kpf.sh, gitea/deploy.sh, supabase/deploy.sh

11. Test updates
    - Updated tests/etc/: test_init_cloudnative_pg*, test_init_cnpg_backup*,
      test_init_kdc*, test_init_kerberos*, test_init_kong*, test_prole_cfg*
    - Updated tests/installer/: test_actions_helpers, test_cfg_save_kubecontext,
      test_controller, test_core_classes, test_milestones, test_milestones_extended,
      test_namespace_propagation
    - Updated tests/: test_database_options, test_navigation,
      test_render_supabase_hostname, test_docker_build_fix,
      test_all_prole_home_fixes, silent_install_test, final_test

12. Documentation updates
    - Updated docs/: DOCKER-BUILD-FIX, PROLE-CFG-SECRETS, PROLE-HOME-DIRECTORY,
      build-system, patent
    - Updated scan/network_description.txt
    - Updated pom.xml

13. Miscellaneous script updates
    - Updated root-level: _adopt_replica_pvcs, _fix_replica_merlin, _import_pi,
      _patch_cluster, _prebind_pvcs, _rebind_d002, _rebind_d002b, test_resolve
    - Updated scripts/generate_spec.py

Co-authored-by: Junie <junie@jetbrains.com>
2026-03-22 22:16:21 -07:00

71 lines
4.3 KiB
Plaintext
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

>>> """
... produce a one page summary, with some gravitas, describing the system architecture, suitable for a patent filing. We love this idea, it needs protecting so that everyone can use it
... We're creating "Prole" organization to hold the patent once it's granted, in a private foundation with the goal of access and scale. We now work for Prole organization. A key component of this new
... system is distributed processing. Prole org will host a service that registers sleep cycle work requests. A p2p sharing functionality will be part of the knoe-db and a pub/sub system to Prole or
... g. The compression level, type of LLM to do the processing. A sub from a worker initiates an receive request to prole which triggers a fresh encryption key and exchange between to pub and sub. wor
... k request is a 'shp' the processed request is an 'eshp'; Philip K Dick. When the 'eshp', electric sheep, work is done, it's p2p published and confirmed to be received and repeated by at least 2 nei
... ghbors, the sheep herder can consider task complete.
... eshpHerder will be the name of p2p agent process running on knoe-db
... """
# PROLE-DATABASE SYSTEM ARCHITECTURE
## Abstract
A revolutionary distributed memory system for storing and processing conversational data through intelligent compression cycles, enabling scalable long-term memory retention while maintaining
semantic integrity across distributed computing networks.
## System Overview
The Prole Database System ("Prole-DB") represents a paradigm shift in conversational memory management, incorporating temporal compression cycles, distributed processing, and secure peer-to-peer
sharing mechanisms. This system establishes a comprehensive framework for storing, compressing, and retrieving conversational data across extended time periods while leveraging distributed
computing resources.
## Core Components
### **Shp (Sheep) Architecture**
Each conversational record is encapsulated as a "shp" (pronounced "sheep") - a compressed, indexed data structure containing full conversational detail. Shps are generated through real-time
processing and stored in compressed format with configurable dream cycles.
### **Dream Cycle Compression**
Shps undergo progressive compression over time:
- **0-32 days**: Full detail retention
- **32-day cycle**: Progressive compression based on temporal decay
- **Compression formula**: 100 × (32 - age_days)/32 percent size reduction
### **Distributed Processing Framework**
The system operates through a peer-to-peer network utilizing libp2p or similar protocols for work distribution and processing. The "eshpHerder" agent process coordinates distributed computation
tasks across the network.
## Processing Workflow
### **Work Distribution**
1. **Request Registration**: Prole-DB service registers sleep cycle work requests
2. **Task Allocation**: Distributed processing requests initiated through peer network
3. **Encryption Protocol**: Fresh encryption keys generated for each transaction
4. **Peer-to-Peer Exchange**: Secure communication between publisher and subscriber nodes
### **Completion Verification**
Processed tasks result in "eshp" (electric sheep) outputs, which are:
- P2P published to distributed network
- Confirmed receipt by at least two neighboring nodes
- Verified completion through distributed consensus mechanism
## Security and Distribution
### **Encryption Framework**
All shps and eshp data undergo end-to-end encryption with dynamic key exchange protocols ensuring data integrity and privacy across distributed nodes.
### **Network Architecture**
- **P2P Sharing**: Integrated distributed file system for data propagation
- **Pub/Sub System**: Prole-DB service coordination through publish-subscribe messaging
- **Neighbor Verification**: Distributed consensus requiring minimum two-node confirmation
## Intellectual Property Protection
This system architecture establishes novel methods for distributed conversational memory management, temporal compression algorithms, and peer-to-peer processing frameworks. The Prole
Organization, established as a private foundation, will safeguard these innovations for public benefit while enabling scalable access and implementation across diverse computational
environments.
**Patent Application Filed: [Date]**
**Prole Organization - Distributed Conversational Memory System**