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By akhilyad
Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations — uses memory_* (namespace-routed) for cost-tracking and cost-patterns; pairs with federation budget circuit breaker (ADR-097)
npx claudepluginhub akhilyad/deployy --plugin hyrex-cost-trackerRun the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table
Apply a simple code transform via agent-booster's WASM engine — sub-millisecond, deterministic, $0 (no LLM call). Companion to cost-booster-route.
Route tasks through hooks_route, partition by Agent Booster availability, and report Tier 1 bypass utilization with $0 cost
Read accumulated cost-tracking spend + budget config, compute utilization, emit 50/75/90/100% alert ladder
Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved
Uses power tools
Uses Bash, Write, or Edit tools
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Autonomous Multi-Agent Orchestration for AI-Native Development
Orchestrate 100+ specialized AI agents across coordinated swarms with event-driven intelligence, self-learning memory, and autonomous healing. Hyrex transforms Claude Code into a distributed agent operating system.
Hyrex extends proven multi-agent orchestration with three event-driven layers:
┌─────────────┐ │ Intent │ │ Router │ └──────┬──────┘ │ ┌────────────┼────────────┐ │ │ │ ┌─────▼────┐ ┌────▼────┐ ┌─────▼────┐ │ Event │ │ Agent │ │ Task │ │ Mesh │◄┤ Hive ├─┤ Queue │ └─────┬────┘ └────┬────┘ └─────┬────┘ │ │ │ ┌─────▼────────────▼────────────▼─────┐ │ Orchestration Layer │ │ (MCP, Hooks, Swarm Coordinator) │ └─────┬────────────┬────────────┬─────┘ │ │ │ ┌─────▼────┐ ┌────▼────┐ ┌─────▼────┐ │ Memory │ │ SONA │ │ Vector │ │ Graph ├─┤ Neural ├─┤ Store │ └──────────┘ └─────────┘ └──────────┘ │ │ │ ┌─────▼────────────▼────────────▼─────┐ │ Autonomous Healing Layer │ │ (Self-repair, Retry, Circuit-break) │ └─────────────────────────────────────┘