Open-source · MIT Licensed

Build more
capable agents

Architecture, prompts, and tools for AI agent systems that actually work in production.

$ git clone https://github.com/Mehtabk/DeeplyAgentic.git
$ cd DeeplyAgentic/quickstart && uv run multi_agent_pipeline.py
Quickstart → ⭐ Star on GitHub

The 4-Layer Architecture

Most agent projects fail because of missing architecture, not bad models.

🎯
Orchestration Layer
Routes requests, coordinates agents, governs outputs
🧠
Agent Layer
Skills, memory, reasoning — Planner, Executor, Validator
🔌
Tool Layer (MCP)
APIs, databases, external services via Model Context Protocol
🛡️
Guardrails Layer
Constraints, validation, human-in-the-loop escalation

Resources

Everything you need to build, ship, and scale agent systems.

⚡ Quickstart

Run a multi-agent pipeline in 5 minutes.

📚 The Agentic Stack

Curated tools by architecture layer.

🧠 Agent Prompts

Production-ready system prompts for 5 agent roles.

🔍 Comparisons

CrewAI vs AutoGen vs LangGraph vs OpenAI SDK vs Mastra.

✅ Checklists

Pre-launch checklist for agent systems.

📐 Diagrams

Copy-paste Mermaid diagrams for agent architectures.

📝 Agent Decisions

Architecture Decision Records for agent systems.

📖 Reading List

Curated papers, reports, talks, and courses.
80%
of enterprise apps embed AI agents
Gartner Q1 2026
1,600+
agents per enterprise by year-end
IBM 2026
40%
cancelled without architecture
Gartner