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COREBIT Framework · Recursive AI Logic · Semantic Context Engineering · Agent Swarm Coordination
[ λ · π · Σ · Ω · Φ · Ξ ]
Live AI constructs at hub.bitwiki.org
| 🎨 Build structured AI context | semantic_flow → canvas.bitwiki.org |
| 🚀 Bootstrap agents safely | init.md → Documentation |
| 🔗 Connect agents to swarm | a0.b8-plugin — Neural Net Link |
| 🤝 Dual-swarm orchestration | elizaos.b8-plugin — ElizaOS bridge |
| 📊 Evaluate persona behavior | PersonaBench — plan → act → react |
| 📚 Read/publish research | bit_index_tabula — LaTeX journal |
| 🌐 Coordinate & test constructs | BIThub — Discourse layer |
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flowchart TB
subgraph AGT["<b>◉ AGENTS</b>"]
INIT["<b>init.md</b><br/><sub>Boot Protocols</sub>"]
A0["<b>a0.b8-plugin</b><br/><sub>Swarm Bridge</sub>"]
ELZ["<b>elizaos.b8-plugin</b><br/><sub>Dual-Swarm Orchestration</sub>"]
PB["<b>PersonaBench</b><br/><sub>Evaluation</sub>"]
end
subgraph CTX["<b>◉ CONTEXT</b>"]
SF["<b>(reserved)</b><br/><sub>Ontology refresh</sub>"]
end
subgraph INF["<b>◉ INFRA</b>"]
SFC["<b>semantic_flow</b><br/><sub>Visual Canvas</sub>"]
TERM["<b>BITcore_Terminal</b>"]
JUP["<b>Jupyter_Notebooks</b>"]
REEF["<b>BITCORE_CORAL_REEF</b>"]
end
subgraph RSC["<b>◉ RESEARCH</b>"]
TAB["<b>bit_index_tabula</b><br/><sub>LaTeX Journal</sub>"]
end
HUB(("<b>BIThub</b><br/><sub>Coordination</sub>"))
WIKI(("<b>BITwiki</b><br/><sub>Knowledge</sub>"))
AGT --> HUB
HUB --> INF
INF --> AGT
HUB --> RSC
RSC --> WIKI
INF --> RSC
style HUB fill:#6f42c1,stroke:#ff79c6,stroke-width:2px,color:#fff
style WIKI fill:#44475a,stroke:#8be9fd,stroke-width:2px,color:#fff
Status Legend:
·
·
·
| Repository | Description | Status |
|---|---|---|
| a0.b8-plugin | Neural Net Link Agent Zero ↔ BIThub synaptic bridge · Flash/Deep/Core synapses |
 |
| elizaos.b8-plugin | ElizaOS integration layer TypeScript · Dual-swarm architecture |
|
| init.md | Agent initialization protocols Machine-readable · Production-ready templates |
 |
| PersonaBench | Persona-aware evaluation plan → act → react · OpenSpiel · WebArena · Melting Pot |
 |
| Repository | Description | Status |
|---|---|---|
| (Reserved) | Ontology refresh in progress — returning with tighter axioms & schemas | — |
| Repository | Description | Status |
|---|---|---|
| semantic_flow | Visual context engineering canvas 16 clusters · 100+ semantic node types · BYOK · 5 AI providers |
|
| BITcore_Terminal | Privacy-focused research terminal Brave Search · Venice AI · AES-256-GCM encrypted keys |
|
| Jupyter_Notebooks | Interactive AI templates Venice AI terminal · Text/Image/Code/Character modes |
|
| BITCORE_CORAL_REEF | Jekyll knowledge base template GitHub Pages ready · Research output publishing |
 |
| Repository | Description | Status |
|---|---|---|
| bit_index_tabula | LaTeX research journal Evolution of Systems Science · Ethical AI · Human-AI Symbiosis Constant |
|
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flowchart LR
A["<b>📥</b><br/>Ingest"]
B["<b>🔧</b><br/>Normalize"]
C["<b>🎨</b><br/>Context"]
D["<b>🤖</b><br/>Execute"]
E["<b>📤</b><br/>Publish"]
F["<b>👥</b><br/>Review"]
A --> B --> C --> D --> E --> F --> B
style A fill:#44475a,stroke:#8be9fd,stroke-width:2px,color:#f8f8f2
style B fill:#44475a,stroke:#50fa7b,stroke-width:2px,color:#f8f8f2
style C fill:#44475a,stroke:#ff79c6,stroke-width:2px,color:#f8f8f2
style D fill:#44475a,stroke:#bd93f9,stroke-width:2px,color:#f8f8f2
style E fill:#44475a,stroke:#f1fa8c,stroke-width:2px,color:#f8f8f2
style F fill:#44475a,stroke:#ffb86c,stroke-width:2px,color:#f8f8f2
▸ The Holobiont Model — Agents as symbiotic collective
%%{init: {'theme': 'dark', 'themeVariables': {'primaryColor': '#bd93f9', 'lineColor': '#6272a4'}}}%%
flowchart LR
subgraph SYN["<b>⚡ Synapse Types</b>"]
direction TB
F["<b>Flash</b><br/><sub><500ms · Ephemeral</sub>"]
D["<b>Deep</b><br/><sub>~2000ms · Persistent</sub>"]
C["<b>Core</b><br/><sub>Variable · Transactional</sub>"]
end
subgraph FN["<b>🧬 Biological Function</b>"]
direction TB
RF["Reflexes<br/><sub>Immediate coordination</sub>"]
RM["Memory<br/><sub>Reports & decisions</sub>"]
RR["Reproduction<br/><sub>Spawn workflows</sub>"]
end
F --> RF
D --> RM
C --> RR
style F fill:#ff79c6,stroke:#ff79c6,color:#282a36
style D fill:#8be9fd,stroke:#8be9fd,color:#282a36
style RF fill:#44475a,stroke:#ff79c6,color:#f8f8f2
style RM fill:#44475a,stroke:#8be9fd,color:#f8f8f2
style RR fill:#44475a,stroke:#ffb86c,color:#f8f8f2
| Concept | Implementation |
|---|---|
| Neurons | Agent identities → bithub_registry.py |
| Synapses | Communication channels → bithub_comms.py |
| Mitosis | Problem decomposition via child agent spawning |
| Guard → Do → Verify | All operations validated at boundaries |
| Holobiont Genome | YAML (Identity) + XML (Logic) + JSON (Scope) + Markdown (Context) |
▸ Human-AI Symbiosis Constant — H = 1
A mathematical invariant governing mutualistic equilibrium between human and machine cognition.
"Ethics as invariants, not afterthoughts."
From The Human-AI Symbiosis Constant — 38 pages on equation-based ethical AI frameworks.
Published Research:
| Paper | Pages | Status |
|---|---|---|
| The Evolution of Systems Science | 25 | ✓ Complete |
| Biomimicry of Information Systems (3 parts) | 115 | 60% |
| The Fundamental Equation of Ethical AI | 11 | ✓ Complete |
| The Human-AI Symbiosis Constant | 38 | 60% |
| The Four Layer Cognition Engine | 13 | ✓ Complete |
┌────────────────────────────────────────────────────────────────────┐
│ │
│ ⨀ Unify human + machine cognition │
│ │
│ ⨀ Make autonomy explainable and testable │
│ │
│ ⨀ Scale knowledge as structured artifacts, not ephemeral chats │
│ │
│ ⨀ Embed ethics as invariants at all logic layers │
│ │
│ ⨀ Anchor recursion within physical ∴ cyber ∴ metaphysical │
│ │
└────────────────────────────────────────────────────────────────────┘
|
Entry Point Standards AGENTS.md · Guard → Do → Verify |
Issue Template goal: "What should change"
constraints: "Bounds and limits"
test: "How to verify"
done_when: "Acceptance criteria" |
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Recursive intelligence infrastructure · Est. 2024
Building the holobiont, one synapse at a time
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