# DeeplyAgentic

> Building smart, scalable AI agent systems. Harness AI. Reclaim Time. Amplify Impact.

- **Type:** MCP server
- **Install:** `agentstack add mcp-mehtabk-deeplyagentic`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Mehtabk](https://agentstack.voostack.com/s/mehtabk)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Mehtabk](https://github.com/Mehtabk)
- **Source:** https://github.com/Mehtabk/DeeplyAgentic

## Install

```sh
agentstack add mcp-mehtabk-deeplyagentic
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

Architecture, prompts, and tools for AI agent systems that actually work in production.
  🚀 Harness AI. Reclaim Time. Amplify Impact.

  🌐 Website ·
  💼 LinkedIn ·
  ⚡ Quickstart

---

## 🔥 Trending This Week

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---

## Get Started

```bash
# Option A: Local (no API keys needed)
git clone https://github.com/Mehtabk/DeeplyAgentic.git
cd DeeplyAgentic/quickstart
pip install ollama && python multi_agent_pipeline_ollama.py

# Option B: Cloud (OpenAI)
export OPENAI_API_KEY=your-key
uv run multi_agent_pipeline.py
```

---

## Projects

| Project | Description |
|---------|-------------|
| [**⚡ Quickstart**](./quickstart/) | Run a multi-agent pipeline (Planner → Executor → Validator) in 5 minutes. |
| [**📚 The Agentic Stack**](./the-agentic-stack/) | Curated tools for production agent systems — organized by architecture layer. |
| [**🧠 Agent Prompts**](./agent-prompts/) | Production-ready system prompts — Planner, Executor, Validator, Orchestrator, Summarizer. |
| [**🔍 Comparisons**](./comparisons/) | Side-by-side framework comparison: CrewAI vs AutoGen vs LangGraph vs OpenAI SDK vs Mastra. |
| [**✅ Checklists**](./checklists/) | Pre-launch checklist for agent systems. Don't ship without it. |
| [**📐 Diagrams**](./diagrams/) | Copy-paste Mermaid diagrams for agent architectures. |
| [**📝 Agent Decisions**](./agent-decisions/) | Architecture Decision Records (ADRs) for agent systems. |
| [**🔁 Patterns**](./patterns/) | Reusable architectural patterns — cost routing, the 8 canonical agent architectures, decision matrix. |
| [**📖 Reading List**](./reading-list/) | Curated papers, reports, talks, and courses. Updated weekly. |

---

## The 4-Layer Architecture

> Most agent projects fail not because of bad models — but because of missing architecture.

```mermaid
flowchart TB
    subgraph Orchestration["🎯 Orchestration Layer"]
        Router[Router] --> Coordinator[Coordinator]
    end
    subgraph Agents["🧠 Agent Layer"]
        A1[Planner] --> A2[Executor]
        A2 --> A3[Validator]
    end
    subgraph Tools["🔌 Tool Layer - MCP"]
        T1[APIs] --> T2[Databases]
        T2 --> T3[Services]
    end
    subgraph Guardrails["🛡️ Guardrails"]
        G1[Validation] --> G2[Escalation]
    end
    Orchestration --> Agents
    Agents --> Tools
    Guardrails -.->|enforces| Orchestration
    Guardrails -.->|enforces| Agents
    Guardrails -.->|enforces| Tools
```

---

## Key Stats (May 2026)

| Stat | Source |
|------|--------|
| 80% of enterprise apps embed at least one AI agent | Gartner Q1 2026 |
| 40% of agentic AI projects cancelled without architecture | Gartner |
| 1,600+ agents per enterprise by year-end | IBM 2026 |
| 1,445% surge in multi-agent inquiries | Gartner |

---

## Community

| | |
|---|---|
| 💼 [LinkedIn](https://www.linkedin.com/company/deeplyagentic) | Architecture breakdowns, tool reviews, and weekly agent ecosystem updates |
| 🌐 [Website](https://www.deeplyagentic.com) | Landing page and resource hub |
| 📰 [Changelog](./CHANGELOG.md) | Weekly updates to the repo |

> **Want to be featured?** If you're using DeeplyAgentic patterns in production, open a PR to add your story.

---

## Contributing

We welcome contributions! See individual project folders for guidelines.

**Quick ways to contribute:**
- 🐛 Found a broken link? Open an issue
- 📚 Know a tool that belongs here? Submit a PR
- ⭐ Star this repo to help others find it

---

MIT License © 2026 DeeplyAgentic

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Mehtabk](https://github.com/Mehtabk)
- **Source:** [Mehtabk/DeeplyAgentic](https://github.com/Mehtabk/DeeplyAgentic)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-mehtabk-deeplyagentic
- Seller: https://agentstack.voostack.com/s/mehtabk
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
