AlexAI-MCP

AlexAI-MCP / PlantOntology

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Open-source plant knowledge graph ? 10,888 species with AI-powered search, companion planting, and carbon calculator

plantontology-production.up.railway.app
17
0
100% credibility
Found Mar 28, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

PlantOntology is an open-source web app and knowledge base for searching plant species, filtering by traits like climate and tolerance, viewing details, and calculating carbon sequestration for landscape planning.

How It Works

1
🌱 Discover PlantOntology

You hear about a free plant guide built by landscape experts to help pick the right plants for any spot.

2
🌐 Visit the live explorer

Click the demo link to open a friendly website where you can browse thousands of plants right away.

3
🔍 Search for plants

Type a plant name like 'rose' or 'oak' to instantly see matching options with photos and key facts.

4
⭐ Filter perfect matches

Slide filters for your climate, soil, height, or drought needs to discover plants that thrive where you live.

5
📊 Check plant details

Tap any plant to pop up full info on growth, care, companions, and eco-benefits like bird attraction.

6
🌍 Calculate garden impact

Add plants to the carbon tool to see your garden's yearly CO2 savings, like offsetting car emissions.

🎉 Design smarter

Get tailored planting ideas for healthy, beautiful gardens that suit your space and the planet.

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Star Growth

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AI-Generated Review

What is PlantOntology?

PlantOntology is an open-source plant knowledge graph packing data on 10,888 species, focused on relationships like companion planting, climate suitability, and ecological roles—going beyond basic databases like iNaturalist that just list facts. Developers get a FastAPI backend with search APIs, recommendation endpoints for drought-resistant picks or zone-matched plants, and a TypeScript React frontend for filtered browsing, species details, stats dashboards, and a carbon sequestration calculator. Deploy it via Railway or self-host with Neo4j for graph queries, plus an MCP server hooking into Claude for AI-driven landscape queries.

Why is it gaining traction?

It stands out as an open source plant database with graph-powered smarts: query companions for "느티나무" (Zelkova serrata), score ecosystem health, or calc CO2 uptake across plantings—features missing in flat-file plant identification apps. The live demo on Railway lets you test AI search and recs instantly, and Python SDK plus REST APIs make it a drop-in for open source plant management tools or climate-adaptive greening projects. Low stars (17) but hooks devs building RAG systems or plant simulation software.

Who should use this?

Landscape architects automating planting plans for Korean climates, urban planners optimizing green infrastructure with tolerance filters, or AI devs training models on companion planting and carbon data. Frontend builders wanting a ready React app for open source plant care, or backend folks needing a Neo4j-seeded graph for recommendation engines.

Verdict

Alpha-stage with solid docs and demo, but 1.0% credibility score and tiny stars signal immaturity—fork for custom open source plant breeding tools, but don't bet production on it yet. Watch for v1.0's auto-plan generation.

(198 words)

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