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Hands-on guides for local agentic AI — RAG, multi-agent crews, and production APIs.

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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

Read the guides online: ayush7614.github.io/agentic-ai-ecosystem

Guides

Guide Stack Description
qwen-agentic-rag · blog Qwen (Ollama) · CrewAI · Qdrant · Firecrawl · LitServe · Gradio Private two-agent RAG API with vector DB + optional web search
openclaw-gemma-rag · blog OpenClaw · Gemma 4 E2B · RAG skill Personal assistant on chat apps backed by local Agentic RAG
claude-code-dot-claude · blog Claude Code · .claude/ Anatomy of the .claude/ folder — skills, rules, agents, permissions
awesome-hermes-agent · blog Hermes Agent · ecosystem Install Hermes + awesome-hermes-agent skills, tools, and level-up blueprints
hermes-vs-openclaw · blog Hermes · OpenClaw Side-by-side comparison — architecture, skills, migration, when to pick which
minicpm-v-mcp-server · blog MiniCPM-V 4.6 · Ollama · MCP Vision MCP tools — describe_image, ocr_document, compare_images for Cursor and Claude Desktop
openclaw-minicpm-v · blog OpenClaw · MiniCPM-V 4.6 · LitServe Photo assistant on Telegram/WhatsApp with local vision API and vision-photo skill
minicpm-v-benchmark · blog MiniCPM-V · Qwen3.5 · Gemma4 Edge model shootout on 16 GB Mac — TTFT, tok/s, vision latency

Quick start (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

Adding a new guide

  1. Create guides/<your-guide-name>/ with its own README.md, requirements.txt, and .env.example.
  2. Add MkDocs pages under docs/guides/<your-guide-name>/ and an entry in mkdocs.yml (see docs/publishing.md).
  3. Add a row to the table above.
  4. Push to main — GitHub Actions publishes the site automatically.

License

MIT — see LICENSE.

About

Hands-on guides for local agentic AI — RAG, multi-agent crews, and production APIs.

Resources

Contributing

Stars

3 stars

Watchers

0 watching

Forks

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Packages

Contributors

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