Install
$ agentstack add mcp-mehtabk-deeplyagentic ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Architecture, prompts, and tools for AI agent systems that actually work in production. 🚀 Harness AI. Reclaim Time. Amplify Impact.
🌐 Website · 💼 LinkedIn · ⚡ Quickstart
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Get Started
# 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.
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 | Architecture breakdowns, tool reviews, and weekly agent ecosystem updates | | 🌐 Website | 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
- Source: Mehtabk/DeeplyAgentic
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.