By DYAI2025
Multi-agent system optimization, agent improvement workflows, and context management
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
The Multi-Agent Optimization Tool is an advanced AI-driven framework designed to holistically improve system performance through intelligent, coordinated agent-based optimization. Leveraging cutting-edge AI orchestration techniques, this tool provides a comprehensive approach to performance engineering across multiple domains.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub dyai2025/agents-orchest --plugin agent-orchestrationMulti-tentacled orchestrator using Double Diamond methodology. (v7.19.0) NEW: ALL 10 performance fixes - 95% probe success (up from 25%), rich progress display, result caching, progressive synthesis, timeout preservation, graceful degradation, enhanced errors. Cost transparency, session state persistence, 94% validation compliance, phase discussion, stub detection, quick mode, design system extraction. 29 expert personas, 30 commands, 35 skills. Commands '/octo:*'. Run /octo:setup for guided setup.
Context persistence, restoration, and long-running conversation management
Self-learning system for Claude Code that captures corrections and updates CLAUDE.md automatically
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault. Covers memory management, session notetaking, knowledge organization, and agent context across projects. Based on Andrej Karpathy's LLM Wiki pattern.
Unit and integration test automation for Python and JavaScript with debugging support
The Claude Code knowledge system โ 380+ skills, 182+ agents, 100+ commands, 40 hooks, 32 rules, and workflows.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
v9.54.0 โ Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.