christina
README.md
# Project Christina: Autonomous Cognitive Amplifier
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<b>The Autonomous Cognitive Trinity for AI Agents Navigating Multi-Million-Token Codebases</b><br/>
<i>Recursive Language Models (Context as Variable) • Code Property Graph (AST Radar) • Open Knowledge Format (Durable Semantic Memory) • Swarm Concurrency Substrate</i>
</p>
[Quick Start](#-1-command-zero-friction-installation) • [Architecture](#-tri-pillar-cognitive-architecture) • [MCP Tools](#-the-canonical-fastmcp-tool-matrix) • [CLI Reference](#-cli-quick-reference) • [Documentation](#-documentation--guides) • [Contributing](CONTRIBUTING.md)
---
</div>
## 🌟 Executive Overview: Eliminating Context Rot
Modern AI coding agents fail on large codebases ($10\text{M}+$ tokens) not due to reasoning limitations, but due to **Context Rot**: attention distraction, unindexed prompt pollution, lost architectural constraints across context wipes, and uncoordinated swarm collisions.
**Project Christina** solves this through an integrated, high-performance cognitive trinity:
1. **RLM (Recursive Language Models — Context as a Variable)**: Moves massive codebases out of conversational prompt transcripts into sandboxed heap variables (`context`). Agents execute bounded sub-queries ($D \le 2, N \le 20$) and transactional copy-on-write (CoW) Python control loops with automated rollback.
2. **Graphify (Deterministic CPG & AST Radar)**: Builds an in-memory SQLite3 WAL call graph delivering **sub-0.3ms recursive CTE queries**, transitive blast radius calculation, and God node centrality ranking with a **71.5x token discovery reduction**.
3. **OKF (Durable Semantic Memory & Epistemic Evolution)**: Sub-microsecond regex frontmatter parsing ($6.72\ \mu\text{s}$/doc), formal AGM belief revision, Ebbinghaus decay, and Mark-and-Sweep epistemic garbage collection with an automated $\le 400$-token post-compaction memory recovery anchor.
4. **Cross-Project Epistemic Distillation**: Anonymizes proprietary code into mathematical archetypes with a strict **Zero-Information Leakage invariant ($\mathcal{I} = 0$)**, multi-base Shannon entropy secret scrubbing, and Bayesian invariant aggregation across code repositories.
5. **Swarm Concurrency Control**: Decentralized multi-agent execution using Kung-Robinson Optimistic Concurrency Control (OCC), Tree-CRDT 3-way AST merge, and Linda tuple-space blackboard.
---
## 🏛️ Tri-Pillar Cognitive Architecture
```
┌─────────────────────────────────────────┐
│ SUPERVISOR / AGENT │
│ (Antigravity / OpenCode / Claude / AI) │
└────────────────────┬────────────────────┘
│ JSON-RPC 2.0 (stdio)
▼
┌───────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ PROJECT CHRISTINA FAST-MCP GATEWAY │
├──────────────────────────────────────┬────────────────────────────────────┬───────────────────────────────────────┤
│ PILLAR 1: RLM ENGINE │ PILLAR 2: GRAPHIFY CPG │ PILLAR 3: OKF MEMORY │
│ (Context as Variable) │ (AST Code Radar) │ (Semantic Evolution) │
├──────────────────────────────────────┼────────────────────────────────────┼───────────────────────────────────────┤
│ • Out-of-core Heap Variables │ • In-Memory SQLite3 WAL Graph │ • Sub-microsecond OKF Regex Parser │
│ • Transactional CoW Rollback │ • Sub-0.3ms Transitive Blast Query │ • Formal AGM Belief Revision │
│ • 3-Phase EGRI Invariant Linter │ • Composite God-Node Centrality │ • Ebbinghaus Forgetting & GC │
│ • Dynamic Governor (D<=2, N<=20) │ • Circular Dependency & Wave Sort │ • Symbol-to-ADR Constraints │
└──────────────────────────────────────┴────────────────────────────────────┴───────────────────────────────────────┘
│
▼
┌───────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ DECENTRALIZED SWARM & DISTILLERY │
├───────────────────────────────────────────────────────────────────┬───────────────────────────────────────────────┤
│ SWARM CONCURRENCY BLACKBOARD │ GLOBAL EPISTEMIC DISTILLERY │
├───────────────────────────────────────────────────────────────────┼───────────────────────────────────────────────┤
│ • Kung-Robinson Optimistic Concurrency Control (OCC) │ • Zero-Information Leakage (I = 0) │
│ • Semantic Tree-CRDT 3-Way AST Merge Resolution │ • Multi-Base Shannon Entropy Secret Redaction │
│ • Linda Tuple Space (`out`, `rd`, `in`, `eval`, `digest`) │ • Bayesian Invariant Distillation (0700 Fence)│
└───────────────────────────────────────────────────────────────────┴───────────────────────────────────────────────┘
```
### Mermaid Flowchart
```mermaid
flowchart TD
Host[Host Agent Context] -->|JSON-RPC 2.0 stdio| MCP[Christina FastMCP Server]
subgraph Trinity["Autonomous Cognitive Trinity"]
MCP -->|cpg_query| CPG[Graphify CPG Radar<br/><i>sub-0.3ms SQLite WAL</i>]
MCP -->|rlm_execute| RLM[RLM Sandbox<br/><i>Transactional CoW REPL</i>]
MCP -->|memory_evolve| OKF[OKF Semantic Memory<br/><i>AGM Revision & Epistemic GC</i>]
end
subgraph SwarmDistill["Swarm & Cross-Project Substrate"]
MCP -->|swarm_blackboard| OCC[Swarm Concurrency<br/><i>Kung-Robinson OCC + Tree-CRDT</i>]
OKF -->|distill_global| Distill[Global Epistemic Distillery<br/><i>Anonymized Archetypes (I=0)</i>]
end
CPG -.->|Blast Radius & Waves| OCC
RLM -.->|Isolated Sub-Calls| Host
OKF -.->|ADR Anchor <=400 Tokens| Host
```
---
## 🚀 1-Command Zero-Friction Installation
Christina installs in seconds without background daemons, native compilation, or root privileges:
```bash
cd christina
./install.sh
```
### Automated Diagnostic Preflight
```bash
./install.sh doctor
```
```text
================================================================
Christina Cognitive Amplifier Diagnostics (v1.0.0)
================================================================
✓ Python Version: 3.11+ (Requirement satisfied)
✓ SQLite3 in-memory WAL Engine: Ready
✓ OKF Semantic Memory Engine: Ready
✓ Google Antigravity Plugin: Registered
✓ OpenCode Plugin: Registered
✓ Global memory directory: ~/.config/christina/global_memory (0700 fenced)
================================================================
✅ All systems functional.
```
### Run Full Test Suite (62/62 Passed in <1.2s)
```bash
./install.sh test
# Or with pytest directly:
pytest tests/ -v
```
---
## 🛠️ The Canonical FastMCP Tool Matrix
Christina exposes 4 unified JSON-RPC 2.0 stdio tools compatible with any MCP host:
| Tool | Category | Key Capabilities & Modes | Performance Bound |
| :--- | :--- | :--- | :--- |
| **`cpg_query`** | AST Code Radar | `blast_radius`, `def_use`, `cfg`, `vinterfaces`, `god_nodes`, `cycles`, `waves`, `info` | $<0.3\text{ms}$ in-memory traversal |
| **`rlm_execute`** | Sandboxed Execution | Sub-agent MapReduce, transactional CoW REPL, 3-phase EGRI linting, compute governor | $D \le 2, N \le 20$ recursion bound |
| **`memory_evolve`** | Semantic Memory | `search`, `persist`, `revise` (AGM), `gc` (Ebbinghaus Mark-and-Sweep), `distill_global`, `query_global` | $6.72\ \mu\text{s}$/doc parsing |
| **`swarm_blackboard`** | Swarm Concurrency | `out`, `rd`, `in`, `eval`, `occ_validate` (Kung-Robinson OCC), `tree_merge` (Tree-CRDT), `digest` | Lock-free optimistic validation |
### MCP Tool Invocations
#### 1. Blast Radius Analysis (`cpg_query`)
```json
{
"name": "cpg_query",
"arguments": {
"symbol": "PaymentGateway",
"mode": "blast_radius",
"depth": 3
}
}
```
#### 2. Transactional Sub-Query Execution (`rlm_execute`)
```json
{
"name": "rlm_execute",
"arguments": {
"query": "Audit error recovery handling in database connection pool",
"scope_paths": ["src/db/", "src/pools/"]
}
}
```
#### 3. Semantic Memory Search with Symbol Constraint (`memory_evolve`)
```json
{
"name": "memory_evolve",
"arguments": {
"action": "search",
"query": "zero-trust authentication policy",
"linked_symbols": ["AuthMiddleware"]
}
}
```
#### 4. Swarm OCC Conflict Validation (`swarm_blackboard`)
```json
{
"name": "swarm_blackboard",
"arguments": {
"action": "occ_validate",
"worker_id": "worker_security_audit",
"read_version": 4,
"read_set": ["AuthMiddleware", "SessionToken"],
"write_set": ["AuthMiddleware"]
}
}
```
---
## ⚡ CLI Quick Reference
```bash
# 1. Scan codebase and index AST knowledge graph into in-memory SQLite3 WAL
python3 -m christina.cli scan .
# 2. Calculate static blast radius for a target symbol
python3 -m christina.cli blast AuthService --depth 3
# 3. List top God Nodes ranked by composite degree centrality
python3 -m christina.cli god-nodes --limit 10
# 4. Search OKF institutional memory, ADRs, and symbol constraints
python3 -m christina.cli memory "connection pool timeout" --symbol DatabasePool
# 5. Run FastMCP JSON-RPC 2.0 stdio server
python3 -m christina.cli serve
# 6. Execute system diagnostics
python3 -m christina.cli doctor
```
---
## 🔌 Multi-Host Compatibility & Setup
Christina includes seamless 1-command registration across all standard AI agent hosts:
### 1. Google Antigravity CLI (`agy`)
Automatically symlinked to `~/.gemini/antigravity-cli/plugins/christina` and registered in `~/.gemini/antigravity-cli/mcp_config.json`.
### 2. OpenCode
Automatically registered in `~/.config/opencode/plugins/christina` and `~/.config/opencode/opencode.json`.
### 3. Claude Desktop
Automatically configured in `~/.claude/claude_desktop_config.json` (or `Library/Application Support/Claude/claude_desktop_config.json` on macOS):
```json
{
"mcpServers": {
"christina": {
"command": "python3",
"args": ["-m", "christina.bridge.mcp_server"],
"env": {
"PYTHONPATH": "/path/to/christina"
}
}
}
}
```
### 4. OpenAI Codex CLI
Automatically registered in `~/.config/codex/config.json`.
---
## 🪮 Ponytail Ultra: Zero-Dependency Guarantee
Project Christina is strictly engineered under **Ponytail Ultra** discipline:
- **Zero External Runtime Dependencies**: Uses Python standard library only (`ast`, `sqlite3`, `re`, `json`, `hashlib`, `fcntl`, `math`, `pathlib`, `typing`).
- **Zero Heavy Daemons**: No Docker, no Neo4j, no ChromaDB, no Redis. In-memory SQLite3 WAL and POSIX file locks deliver sub-millisecond execution with $0\text{MB}$ idle background RAM.
- **Strict Code Brevity**: Every module is concise ($<250$ LOC), cohesive, and self-contained.
---
## 📚 Documentation & Guides
| Document | Description |
| :--- | :--- |
| **[Getting Started Guide](docs/getting_started.md)** | Step-by-step setup, verification, and first agent workflow. |
| **[Skills Taxonomy](skills/christina/SKILL.md)** | Progressive disclosure skill definitions (`cpg`, `rlm`, `memory`, `swarm`). |
| **[Contributing Guide](CONTRIBUTING.md)** | Ponytail Ultra development guidelines, Nix setup, test suites, and ADR workflow. |
| **[Security Policy](SECURITY.md)** | Zero-information leakage ($\mathcal{I} = 0$), Shannon entropy secret scrubbing, and containment. |
| **[Changelog](CHANGELOG.md)** | Detailed release notes and version history. |
---
## 📜 License
Project Christina is distributed under the open-source **[MIT License](LICENSE)**.
Copyright (c) 2026 Christina Engineering Swarm & Contributors.
TDQS
C2.6/5.0
Scored across 4 tools
Disambiguation5/5
Each tool targets a completely different subsystem: static code analysis, sandboxed execution, semantic memory, and concurrency/blackboard coordination. There is no overlap or plausible confusion between them.
Naming Consistency4/5
All tools follow a readable two-part snake_case format with domain-specific prefixes. However, the suffixes mix verbs (query, execute, evolve) with a noun (blackboard), creating a minor deviation from a fully uniform pattern.
Tool Count5/5
Four tools is a reasonable, focused count for a server whose scope appears to be a coordinated agent runtime: analyze, execute, remember, and coordinate. Each tool earns its place and none feel redundant.
Completeness4/5
The tool surface covers the major capabilities one would expect from this kind of system: code understanding, safe execution, memory persistence, and shared-state coordination. There are minor gaps such as explicit file/API interaction, but the broad sub-operations embedded in each tool make the overall surface feel fairly complete.
Maintenance
ActivityMaintained
ResponsivenessNo issues