FrootAI by the Numbers
A living snapshot of the FrootAI ecosystem — what ships today, where teams use it, and how it connects to the AI toolchain.
🩺 Ecosystem Health
| Component | Version | Package | Status |
|---|---|---|---|
| MCP Server | v2.2.0 | frootai-mcp | ✅ Live |
| VS Code Extension | v0.9.0 | pavleenbali.frootai | ✅ Live |
| Knowledge Base | 18 modules | knowledge.json | ✅ Bundled |
| Website | Docusaurus 3 | 13 pages | ✅ Live |
| Solution Plays | 20 plays | DevKit + TuneKit | ✅ Shipping |
| Agent Card (A2A) | v2.2.0 | agent-card.json | ✅ Published |
🎯 What Teams Use FrootAI For
Enterprise RAG Pipelines
AI Search + OpenAI + Container Apps — pre-tuned config, evaluation suite, Bicep infra.
AI Agents & Multi-Agent Systems
Deterministic agents, build→review→tune chains, Semantic Kernel and Agent Framework patterns.
AI Landing Zones
VNet + Private Endpoints + RBAC + GPU allocation — enterprise-grade AI infrastructure.
Cost Optimization
Model comparison, pricing estimates, token budget planning for AI workloads.
AI Architecture Training
18 FROOT modules from tokens to production — used in workshops and onboarding.
Agentic DevOps (.github OS)
19-file .github Agentic OS per play — instructions, prompts, agents, skills, hooks.
🔌 Integration Points
FrootAI plugs into the tools teams already use — no migration, no lock-in.
📊 Open Source & Community
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