Curriculum teaching stub for Multi-Agent collaboration — orchestrator + specialists with reviewer gates. Pattern used in VAP Platform.
▶ Live demo · Architecture · Portfolio · VAP case study
Teaching reference for multi-agent collaboration — specialized roles, delegation, coordinated handoffs.
Orchestrator-controlled routing with critic/reviewer gates before final output; live trace UI for interviews and teaching.
venkat-ai.com/work · Tradeoffs in docs/ARCHITECTURE.md.
Org skills: vpeetla-ai-skills. This repo includes .cursor/skills/, AGENTS.md, and CONTEXT.md.
git clone https://github.com/vpeetla-ai/vpeetla-ai-skills.git
./vpeetla-ai-skills/scripts/install.sh --cursor --codex --project .Scope: Curriculum stub with deterministic tests and a live trace viewer — not a production agent fleet. Compose into Venkat AI Platform for governed graphs.
| Component | Status | Notes |
|---|---|---|
| Pattern demo + trace UI | ✅ | Scenario chips · simulated metrics · compose CTA (VAP/OmniForge) |
| Core agent loop | ✅ | Reference implementation |
| LangGraph production graph | 🟡 | Teaching scope — compose into VAP for fleet use |
| MCP tool bridge | ❌ | See LoopForge / VAP MCP docs |
| AegisAI gateway | ❌ | No side effects in pattern demo |
| Pytest regression | ✅ | pytest -q in repo |
Part 4 of 5 in the Curriculum Agent Patterns series.
Curriculum teaching stub (compose into VAP for production graphs) of the Multi-Agent System pattern — specialized roles, delegation, and coordinated handoffs between agents.
| # | Pattern | Repository | Use when |
|---|---|---|---|
| 1 | ReAct | react-agent-pattern | Tool use + reasoning loops |
| 2 | Reflection | reflection-agent-pattern | Self-critique and improve output |
| 3 | Plan-Execute | plan-execute-agent-pattern | Decompose goals into steps |
| 4 | Multi-Agent | this repo | Specialized role delegation |
| 5 | Swarm | swarm-agent-pattern | Parallel autonomous agents |
▶ Live demo · 📖 Full series roadmap · Compose in production — AI Content Factory (separate repo)
- Role-specialized agents (researcher, writer, reviewer) with clear contracts
- Orchestrator delegates tasks and merges outputs
- Shared state vs. message-passing tradeoffs
- Boundaries that map to LangGraph / production service splits
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
python -m multi_agent_system_pattern
pytestRuns without external API keys using deterministic stubs.
cp .env.example .envSee docs/LOCAL_DEVELOPMENT.md and docs/ARCHITECTURE.md.
This repo is a curriculum stub. For production composition, see AI Content Factory: Research → Content → SEO/Visual → HITL → Publisher agents on LangGraph.
Business function: Minimal LangGraph teaching stub for one agent pattern (compose into VAP for production).
Staff+ prep crosswalk — playbook · study UI · Practice Arena · org matrix. Only entries this repo honestly exercises.
| Category | Entry | Fit |
|---|---|---|
| System design | Agent tool-use / orchestration (md) | Pattern slice only — not a full platform |
| Coding | Clone a graph (cycle-safe) (md) | Light — graph structure intuition for LangGraph |
- Previous: Plan-Execute Agent Pattern
- Next: Swarm Agent Pattern
⭐ Star the repo if this pattern helps your work.