By akhilyad
User-facing surface for Hyrex's self-learning system: 6 neural_* + 10 hooks_intelligence_* + 9 routing/meta hooks + 4 SONA/MicroLoRA tools (29 total). Implements the 4-step pipeline (RETRIEVE → JUDGE → DISTILL → CONSOLIDATE) and IPFS-based cross-project pattern transfer.
Route tasks via the 3-tier model selector and learned patterns; emits a routing rationale via hooks_explain
Publish or fetch learned patterns across projects via IPFS (Pinata) -- the cross-project pattern transfer that hooks_transfer enables
Train SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline
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) │ └─────────────────────────────────────┘
npx claudepluginhub akhilyad/deployy --plugin hyrex-intelligenceAgent teams, swarm coordination, Monitor streams, and worktree isolation — wraps 4 swarm_* + 8 agent_* MCP tools (12 total) plus 6 topologies (hierarchical / mesh / hierarchical-mesh / ring / star / adaptive)
Security review, dependency scanning, policy gates, and CVE monitoring
RuVector memory with HNSW search, AgentDB, and semantic retrieval
Session-as-skill browser automation: Playwright + RVF cognitive containers + ruvector trajectories + AgentDB selector memory + AIDefence PII/injection gates
Foundation plugin — registers the hyrex MCP server (300+ tools across memory/agentdb/embeddings/hooks/aidefence/neural/autopilot/browser/agent/swarm), provides 3 generalist agents (coder/researcher/reviewer), 3 first-run skills, and a curated plugin-discovery catalog
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.