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By akhilyad
Long-horizon goal planning, deep research orchestration, and adaptive replanning using GOAP algorithms
npx claudepluginhub akhilyad/deployy --plugin hyrex-goalsMulti-source research specialist that gathers, cross-references, and synthesizes information with evidence grading and contradiction resolution
Recursive parallel multi-source investigator that fans out across web, memory, knowledge-graph, codebase, and ADR index to build a graph-structured dossier on a seed entity, with budget caps, de-duplication, and provenance per claim
GOAP specialist that creates optimal action plans using A* search through state spaces, with adaptive replanning, trajectory learning, and multi-mode execution
Long-horizon objective tracker that persists progress across sessions with milestone checkpoints, drift detection, and adaptive timeline management
Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings
Build a graph-structured dossier on a seed entity via parallel fan-out + recursive expansion across web, memory, knowledge-graph, codebase, ADR index, and git intel
Create and execute Goal-Oriented Action Plans (GOAP) with precondition analysis, cost optimization, and adaptive replanning
Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection
Synthesize research findings from memory into structured reports with evidence grading, contradiction resolution, and actionable recommendations
Uses power tools
Uses Bash, Write, or Edit tools
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Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
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Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
Agent 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
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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) │ └─────────────────────────────────────┘