SPECTRE Fleet
AI Agent Framework with Event-Driven Architecture
π― Visionβ
SPECTRE is a Domain-Driven Microservices framework with:
- π― Event-Driven Architecture - All services communicate via NATS message bus
- π Zero-Trust Governance - Mandatory authentication via Spectre Proxy
- π Observability Intelligence - ML-based anomaly detection, FinOps tracking
- π° Hybrid Cloud + Local AI - Vertex AI for complex tasks, local models for routine work
- π‘οΈ Resilience by Design - Circuit breakers, automatic failover, degraded operation
SPECTRE is a FLEET, not a MONOLITH
ποΈ Architectureβ
π― Hybrid Architectureβ
SPECTRE is the core infrastructure framework that orchestrates independent domain services via event-driven communication.
Repository Organization:
- This repository (
/home/kernelcore/dev/low-level/spectre): Core infrastructure only - Domain services: Separate repositories in
~/dev/low-level/(open source contributions) - Integration: All services connect via NATS event bus
spectre/ # Core Infrastructure (this repo)
βββ crates/spectre-core # Types, errors, config
βββ crates/spectre-events # NATS client & event schemas
βββ crates/spectre-proxy # Zero-Trust gateway
βββ crates/spectre-secrets # Secret rotation
βββ crates/spectre-observability # Intelligence & monitoring
~/dev/low-level/ # Domain Services (separate repos)
βββ ai-agent-os/ # System monitoring
βββ intelagent/ # Agent orchestration
βββ securellm-bridge/ # LLM proxy
βββ ml-offload-api/ # ML inference
βββ cognitive-vault/ # Credential manager
βββ ragtex/ # RAG system
βββ arch-analyzer/ # NixOS analysis
All communicate via NATS β
[NATS Message Bus - localhost:4222]
Core Infrastructure Crates (Phase 0-2)β
-
spectre-core β Phase 0
- Common types:
ServiceId,CorrelationId,TraceId - Error handling:
SpectreErrorwith context - Configuration: Unified TOML-based config
- Logging: Structured logging with
tracing
- Common types:
-
spectre-events β Phase 0
- NATS client wrapper
- Event schema definitions (30+ event types)
- Publisher/Subscriber abstractions
- Request/Reply patterns
-
spectre-proxy π§ Phase 1
- Zero-Trust API Gateway
- TLS termination, rate limiting
- Authentication via spectre-secrets
-
spectre-secrets π§ Phase 1
- Secret storage & rotation
- Integration with cognitive-vault crypto
-
spectre-observability π Phase 2
- Event stream processing (wildcard NATS subscriber)
- TimescaleDB for time-series storage
- Neo4j for dependency graphs
- ML-based anomaly detection
- FinOps dashboard
Domain Services (Separate Repositories)β
These services live in separate repositories and integrate with SPECTRE via NATS:
-
ai-agent-os β
~/dev/low-level/ai-agent-os/- System monitoring (CPU, memory, disk, thermal)
- Publishes:
system.metrics.v1,system.log.v1
-
intelagent β
~/dev/low-level/intelagent/- Agent orchestration with DAO governance
- Publishes:
task.assigned.v1,governance.vote.v1
-
securellm-bridge β
~/dev/low-level/securellm-bridge/- Production LLM proxy with TLS, rate limiting
- Publishes:
llm.request.v1,llm.response.v1
-
ml-offload-api β
~/dev/low-level/ml-offload-api/- ML inference with VRAM management
- Publishes:
inference.request.v1,vram.status.v1
-
cognitive-vault β
~/dev/low-level/cognitive-vault/- Credential manager (Rust+Go)
- Crypto primitives used by spectre-secrets
-
ragtex β
~/dev/low-level/ragtex/- RAG system with Vertex AI + Chroma
- Publishes:
rag.query.v1,document.indexed.v1
-
arch-analyzer β
~/dev/low-level/arch-analyzer/- NixOS architecture analysis
- Publishes:
analysis.report.v1
π Quick Startβ
Note: This repository contains only the core infrastructure. Domain services live in separate repositories and integrate via NATS events.
Prerequisitesβ
- Nix with flakes enabled
- Docker and Docker Compose (for dev environment)
Development Setupβ
# Clone this repository (core infrastructure)
cd /home/kernelcore/dev/low-level/spectre
# Enter Nix development shell
nix develop
# Start infrastructure (NATS, TimescaleDB, Neo4j)
docker-compose up -d
# Build core infrastructure crates
cargo build
# Run tests (validates event bus integration)
./scripts/run-tests.sh
# Or run tests manually
cargo test
# Check specific crate
cargo check -p spectre-core
cargo check -p spectre-events
Integrating Domain Servicesβ
Domain services (e.g., securellm-bridge, ml-offload-api) integrate by:
-
Adding SPECTRE dependencies to their
Cargo.toml:[dependencies]spectre-core = { git = "https://github.com/kernelcore/spectre", branch = "main" }spectre-events = { git = "https://github.com/kernelcore/spectre", branch = "main" } -
Connecting to NATS and publishing/subscribing to events:
use spectre_events::EventBus;let bus = EventBus::connect("nats://localhost:4222").await?;bus.subscribe("llm.request.v1").await?; -
See
INTEGRATION.mdfor detailed integration guide (created below)
Environment Variablesβ
# NATS
export NATS_URL=nats://localhost:4222
# Databases
export TIMESCALEDB_URL=postgresql://spectre:spectre_dev_password@localhost:5432/spectre_observability
export NEO4J_URI=neo4j://localhost:7687
export NEO4J_USER=neo4j
export NEO4J_PASSWORD=spectre_dev_password
# Logging
export RUST_LOG=debug
export RUST_BACKTRACE=1
π Project Statusβ
Phase 0: Foundation (Weeks 1-2) - IN PROGRESSβ
- Monorepo structure (Cargo workspace, flake.nix)
- Docker Compose (NATS, TimescaleDB, Neo4j)
- spectre-core crate (types, errors, config, logging)
- spectre-events crate (NATS client, event schemas)
- Integration tests (event pub/sub roundtrip)
- Validate dev environment
Next: Complete Phase 0 testing, then move to Phase 1 (Security Infrastructure)
π― Event Typesβ
All events follow the pattern: <category>.<action>.v<version>
Implemented Event Typesβ
LLM Gateway:
llm.request.v1/llm.response.v1
ML Inference:
inference.request.v1/inference.response.v1vram.status.v1
Analysis:
analysis.request.v1/analysis.response.v1analysis.report.v1
RAG:
rag.index.v1/rag.query.v1document.indexed.v1
System:
system.metrics.v1/system.log.v1hyprland.window.v1/hyprland.workspace.v1
FinOps:
cost.incurred.v1
Orchestration:
task.assigned.v1/task.result.v1
Governance:
governance.proposal.v1/governance.vote.v1quality.report.v1
π§ͺ Example Usageβ
Publishing an Eventβ
use spectre_events::{EventBus, Event, EventType};
use spectre_core::ServiceId;
#[tokio::main]
async fn main() -> spectre_core::Result<()> {
// Connect to NATS
let bus = EventBus::connect("nats://localhost:4222").await?;
// Create event
let event = Event::new(
EventType::SystemMetrics,
ServiceId::new("agent-os"),
serde_json::json!({
"cpu_percent": 45.2,
"memory_mb": 2048,
"disk_gb": 128
}),
);
// Publish
bus.publish(&event).await?;
println!("Event published: {}", event.event_id);
Ok(())
}
Subscribing to Eventsβ
use spectre_events::{EventBus, EventHandler, Subscriber, Event};
struct MyHandler;
#[async_trait::async_trait]
impl EventHandler for MyHandler {
async fn handle(&self, event: Event) -> spectre_core::Result<()> {
println!("Received event: {:?}", event);
Ok(())
}
}
#[tokio::main]
async fn main() -> spectre_core::Result<()> {
let bus = EventBus::connect("nats://localhost:4222").await?;
let nats_sub = bus.subscribe("system.metrics.v1").await?;
let mut subscriber = Subscriber::new(nats_sub, "system.metrics.v1");
// This blocks and listens for events
subscriber.listen(MyHandler).await?;
Ok(())
}
π Roadmapβ
Phase 1: Security Infrastructure (Weeks 3-4)β
- spectre-proxy (Zero-Trust gateway)
- spectre-secrets (Secret rotation engine)
Phase 2: Observability (Weeks 5-6)β
- spectre-observability (Intelligence engine)
- Tauri dashboard (Real-time monitoring)
Phase 3: Service Adaptation (Weeks 7-10)β
- Migrate existing services to event-driven architecture
- Add NATS integration layers
Phase 4: Integration & Testing (Weeks 11-12)β
- End-to-end tests
- Performance benchmarks
- Failover testing
Phase 5: Production Hardening (Weeks 13-14)β
- NixOS module
- Prometheus exporters
- Security audit
π Licenseβ
MIT License
π€ Contributingβ
This is a personal professional framework project. Contributions are welcome after Phase 5 completion.
Status: π§ Phase 0 Foundation - Active Development Last Updated: 2026-01-08 Architects: kernelcore + Claude Sonnet 4.5