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Mehtabk/DeeplyAgentic

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

Python MIT GitHub ↗
★ 1
stars
70
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

DeeplyAgentic is a practical repository for designing and deploying production-ready AI agent systems. It targets engineers, system architects, and product teams building multi-agent workflows (planner, executor, validator) and integrating model calls with external tools and guardrails. Key features include a 5-minute quickstart (local Ollama or cloud OpenAI examples), a curated "Agentic Stack" of tools, production-ready system prompts, side-by-side framework comparisons, pre-launch checklists, copy-paste architecture diagrams, Architecture Decision Records, and a weekly-updated reading list. The project emphasizes a four-layer architecture (orchestration, agent, tool/MCP, guardrails) and is MIT‑licensed.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (2)
OpenAI Ollama
🤝 Agent frameworks (1)
MCP
🤖 LLM models (1)
Llama
🌐 Web frameworks (1)
Rails

GitHub Topics

#agentic-ai #ai-agents #ai-agents-framework #guardrails #llm #mcp #multi-agent #orchestration #prompt-engineering

Language breakdown (by bytes)

Python
100%

Owner

Account
Mehtabk
Type
User
Followers
0

Dates

Created on GitHub 2026-05-14
Last push 2026-05-16
First seen here 2026-05-16
Last fetched 2026-05-16 18:17

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