Agentic AI Ecosystem¶
Hands-on guides for building local, private agentic AI systems — RAG, multi-agent crews, MCP tooling, and production-style APIs.
Maintained by Ayush Kumar · NeuralVerse · Portfolio
Guides¶
| Guide | What you'll build |
|---|---|
| Qwen Agentic RAG | Private two-agent RAG API with Qwen (Ollama), CrewAI, Qdrant, Firecrawl, LitServe, and Gradio |
| OpenClaw + Gemma + RAG | Messaging assistant on gemma4:e2b with a local RAG skill calling the LitServe API |
Claude Code .claude/ |
Team-aware Claude Code layout — CLAUDE.md, permissions, rules, skills, and subagents |
| Awesome Hermes Agent | Install Hermes Agent and map the skills, plugins, GUIs, and integrations ecosystem |
| Hermes vs OpenClaw | Compare Hermes Agent and OpenClaw — gateways, skills, migration, decision guide |
Each guide is a self-contained project under guides/<name>/ in the repo. The site pages mirror those READMEs and tutorials so you can read online without cloning.
Run locally (any guide)¶
git clone https://github.com/Ayush7614/agentic-ai-ecosystem.git
cd agentic-ai-ecosystem/guides/<guide-name>
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
cp .env.example .env
# Follow the guide README on GitHub or the tutorial page here
Add a new guide¶
- Create
guides/<your-guide-name>/withREADME.md,requirements.txt, and.env.example. - Add docs pages under
docs/guides/<your-guide-name>/(see Publishing). - Add a row to the table above and an entry in
mkdocs.yml→nav.
License¶
MIT — see LICENSE.