← All Tickets #063

RESEARCH TASK: Agentic Design Patterns — Gap Analysis for STRUXIO.ai

Context

STRUXIO.ai runs a multi-brain, multi-agent AI system:

Our Current Problems (Day 11 Failures)

  1. State drift in long sessions — B0 loses track of what's done vs pending after ~4 hours. Session log not maintained.
  2. Cascading fix failures — B0 guesses at root causes, deploys fixes without testing, each fix breaks something new (6 deploys in one session for a problem that needed 3).
  3. No pre-deploy validation — Code ships to production without any testing.
  4. Orphaned lists — Pending action lists created but never checked again.
  5. Reactive not proactive — B0 is behind the Founder, not ahead.
  6. No self-healing — When bus goes down, nobody knows until an agent tries to use it. No auto-recovery.
  7. No reflection checkpoints — No structured pause to assess progress, root causes, or whether we're in a rabbit hole.
  8. Answer with action instead of thinking — B0 runs tool calls instead of answering direct questions.

Your Task

Research established agentic design patterns and produce a gap analysis with concrete recommendations for STRUXIO.ai. Use these sources as starting points:

Primary Sources

  1. "Agentic Design Patterns" by Antonio Gulli (424-page book, 21 patterns) — available at github.com/sarwarbeing-ai/Agentic_Design_Patterns or github.com/ravinderyadav/Agentic-Design-Patterns-by-AntonioGulli
  2. subagents-design-patterns (lucianfialho) — 21 agent implementations from Gulli's patterns: github.com/anti-achismo-social-club/subagents-design-patterns
  3. Anthropic's 7 Official Patterns — github.com/ThibautMelen/agentic-workflow-patterns (Subagents, Skills, Parallel Tools, Master-Clone, Multi-Window Context, Programmatic Orchestration, Wizard Workflows)
  4. Lance Martin's "Agent Design Patterns" — rlancemartin.github.io/2026/01/09/agent_design/ (Ralph Wiggum loop, context isolation, progressive disclosure, git-based state)
  5. Google ADK 8 Patterns — developers.googleblog.com (Sequential Pipeline, Coordinator/Dispatcher, Parallel Fan-Out/Gather, Generator & Critic, Refinement Loop, Human-in-the-Loop, Hierarchical Decomposition, Composite)
  6. Microsoft Azure AI Agent Orchestration Patterns — learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/ai-agent-design-patterns
  7. awesome-agentic-patterns (nibzard) — github.com/nibzard/awesome-agentic-patterns (curated catalogue with llms.txt)
  8. VoltAgent 100+ Subagents — github.com/VoltAgent/awesome-claude-code-subagents (model routing, tool scoping)
  9. 29 Agentic Design Patterns (zeljkoavramovic) — github.com/zeljkoavramovic/agentic-design-patterns (interactive tutorial with dependency graph)
  10. YouTube Videos (if accessible):

Deliverables

A. Pattern Mapping

Map each of Gulli's 21 patterns + Anthropic's 7 patterns + Google's 8 patterns to our current architecture. For each:

B. Gap Analysis for Our 8 Problems

For each of our 8 problems listed above, identify:

C. Architecture Recommendations

Based on the research:

  1. Which patterns are we reinventing badly? What should we adopt instead?
  2. Which patterns are we missing entirely that would prevent Day 11-type failures?
  3. What's the recommended priority order for implementation?
  4. Are there off-the-shelf tools, libraries, or frameworks we should use instead of building custom?

D. The "Ralph Wiggum" Question

Lance Martin describes the "Ralph Wiggum" pattern where context lives in files and progress is communicated via git history. We're already doing this partially (markdown files in git repos). What are we missing to make this work properly? How do production systems handle:

E. Subagent Library Assessment

Should we adopt VoltAgent's or lucianfialho's subagent libraries directly? Which agents from their collections map to our B1-B5, CM0, CC0 roles? What's the integration path?

Format

Important

STRUXIO.ai // Research Task // Assigned: B1 + ChatGPT // Priority: Critical