Agentic AI workflows,
not pipelines
n8n templates with real AI agents — reasoning loops, RAG retrieval, MCP tool use, and autonomous decision-making. Self-hosted. Privacy-first.
The Agentic Stack
Three pillars that turn workflows into autonomous agents.
Agent Core
n8n + Claude/Ollama reasoning engine. Goal-directed execution with iterative planning and self-correction loops.
RAG & Knowledge
Qdrant vector store, document ingestion pipeline, semantic retrieval. Agents ground decisions in your data.
MCP Tool Use
Model Context Protocol servers for GitHub, filesystems, databases. Agents call tools autonomously.
Get running in minutes
Four steps from zero to autonomous agents.
Start the Stack
Docker compose up: n8n + Qdrant + Ollama. One command.
Connect MCP Servers
GitHub, filesystem, databases. Agents get tool access.
Ingest Your Knowledge
RAG pipeline on your docs. Agents ground in your data.
Deploy Agents
Import, activate, autonomous. Agents reason and act.
Agent Categories
Five categories of autonomous agents — reasoning, retrieval, tool use, and iterative execution.
Agent Ops & Eval
4 agentsMonitor, evaluate, and enforce compliance for AI systems. Agents that reason about AI quality and regulatory requirements.
Prompt Regression Agent
Maintains test corpus, runs prompt variants against golden outputs, detects regressions, proposes fixes. RAG: historical prompt performance data.
Model Selection Agent
Benchmarks models across cost, latency, quality. Runs A/B evaluations, recommends optimal model per use case. RAG: past benchmarks, model docs.
Guardrail Compliance Agent
Monitors AI outputs against SEC, FINRA, GDPR, HIPAA rules. Investigates violations, proposes rule updates. RAG: regulatory text, precedents.
DSAR Investigation Agent
Searches across SaaS tools via MCP for subject data, reasons about completeness, generates response packages. RAG: data mapping docs.
Knowledge Agents
4 agentsAgents that ingest, retrieve, synthesize, and reason over your documents. Core RAG patterns with autonomous iteration.
Document Intelligence Agent
Ingests and OCRs documents, builds vector store, answers questions with citations, cross-references sources. Core RAG template. RAG: your document corpus.
Contract Review Agent
Retrieves similar contracts from corpus, compares clauses, flags risks and unusual terms, generates review memo. RAG: contract corpus.
Research Synthesis Agent
Multi-hop RAG: searches corpus, synthesizes findings, identifies contradictions, iteratively fills knowledge gaps. RAG: research library.
Meeting Intelligence Agent
Transcribes audio, extracts decisions and action items, cross-references project docs for context. RAG: project documentation.
Spec & Code Agents
4 agentsAgents that generate PRDs, decompose issues, analyze screenshots, and verify specifications. Integrates with AI Architect PRD Generator.
PRD Generation Agent
Feature request → 9-file PRD via codebase analysis MCP. Iterates until verification passes. RAG: existing PRDs, architecture docs.
Issue Decomposition Agent
PRD → tickets with dependency analysis. Creates issues in GitHub, Linear, or Jira via MCP. RAG: past decompositions.
Screenshot-to-Spec Agent
Vision model identifies UI components, generates requirements document with acceptance criteria. RAG: design system docs.
Verification Gate Agent
Reviews PRD quality: structural checks, consistency analysis, approve/revise/block verdict. RAG: architecture standards.
Domain Expert Agents
4 agentsIndustry-specific agents for healthcare, legal, finance, and construction. On-device processing for sensitive data.
Healthcare Intake Agent
Intake forms, insurance verification, appointment scheduling via API. All on-device for HIPAA. RAG: insurance plans, clinical protocols.
Legal Discovery Agent
Searches repos and docs, classifies by relevance and privilege, generates discovery index. RAG: case law, classification rules.
Financial Analysis Agent
Connects to Stripe and accounting via MCP, analyzes trends, generates investor-ready reports. RAG: historical reports, benchmarks.
Construction Bid Agent
Parses bid documents, normalizes pricing structures, generates comparison matrix with recommendations. RAG: cost databases, past analyses.
Revenue & Growth Agents
4 agentsAgents that drive revenue optimization, content strategy, expense auditing, and compliance evidence collection.
Content Strategy Agent
Researches competitors via web search MCP, identifies content gaps, generates SEO briefs with keyword targeting. RAG: brand voice, past performance.
Review Intelligence Agent
Monitors reviews across platforms, runs sentiment analysis, clusters themes, escalates critical issues. RAG: product docs, response templates.
SaaS Expense Agent
Audits subscriptions via MCP connections, identifies waste and duplicate tools, generates optimization plan. RAG: pricing data, past decisions.
SOC 2 Evidence Agent
Collects compliance evidence from GitHub and AWS via MCP, reasons about coverage gaps, generates audit packages. RAG: control descriptions, past audits.
Shared Sub-Workflows
Reusable agentic components included with every template.
Agent Pricing
Buy individual agents, category packs, or the full suite.
Single Agent
One agent template + sub-workflows
Category Pack
All 4 agents in one category
Full Suite
All 20 agents + 8 sub-workflows
Custom / Managed
$2K–15K project · $1K–5K/mo managed
Quick Start
Get the full agentic stack running in 5 minutes.