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ai-inventory

Detect AI frameworks, LLM dependencies, and model files in any project. One command to know what AI is in your codebase.

Firmislabs/ai-inventorycommunitylistedunreviewed
Use tool

Set up

Runs on your computer. Pick your agent and operating system.

Before you start

  • Node.js 20 or newer
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ai-inventory": {
      "command": "npx",
      "args": [
        "-y",
        "@firmislabs/ai-inventory"
      ]
    }
  }
}

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

README

synced Oct 23, 2026

ai-inventory

Detect AI frameworks, LLM dependencies, and model files in any project. One command to know what AI is in your codebase.

Quick start

npx @firmis/ai-inventory .

Output:

  AI Inventory: /path/to/your/project
  ──────────────────────────────────────────────────

  Framework: LangChain

  Dependencies (5):
    LLM SDKs:
      - openai@^1.12.0
      - @anthropic-ai/sdk@^0.20.0
    Agent Frameworks:
      - @langchain/core@^0.1.0
    Vector Databases:
      - @pinecone-database/pinecone@^2.0.0
      - chromadb@^1.8.0

  Model Files (1):
    - model.safetensors [SafeTensors] (245.3 MB)

  ──────────────────────────────────────────────────
  Found: 5 deps, 1 models
  Scan for security threats: npx @firmis/scanner scan .

What it detects

Frameworks: CrewAI, LangChain, AutoGen, MetaGPT, AutoGPT, LangFlow, MCP Server, n8n

Dependencies (50+): OpenAI, Anthropic, Google AI, Cohere, Replicate, Ollama, LangChain, LlamaIndex, Pinecone, ChromaDB, Weaviate, Qdrant, HuggingFace, PyTorch, TensorFlow, and more — across npm and pip.

Model files: GGUF, SafeTensors, ONNX, PyTorch (.pt/.pth), HDF5/Keras (.h5), TFLite, Ollama Modelfiles, TensorFlow.js, HuggingFace configs.

Programmatic API

import { inventory } from '@firmis/ai-inventory'

const result = await inventory('./my-project')

console.log(result.summary.hasAI)           // true
console.log(result.framework?.label)         // "LangChain"
console.log(result.dependencies.length)      // 5
console.log(result.models.length)            // 1

Individual detectors are also exported:

import {
  detectFramework,
  detectAIDependencies,
  detectModelFiles,
} from '@firmis/ai-inventory'

CLI options

npx @firmis/ai-inventory [path] [options]

Options:
  --json    Output as JSON
  --help    Show help

Found AI? Scan it for threats.

npx firmis-scanner scan .

Firmis Scanner detects security threats across 9 AI agent platforms with 242 rules.

FAQ

What does ai-inventory detect? 8 agent frameworks (CrewAI, LangChain, AutoGen, MCP, etc.), 35+ LLM/ML dependencies across npm and pip, and model files in 9 formats. Returns structured JSON with capability metadata.

How is this different from firmis scan? ai-inventory discovers what AI tools exist. firmis scan checks them for security threats. Use ai-inventory first to see what you have, then firmis scan to find vulnerabilities. ai-inventory is the asset map, firmis is the security audit.

Can agents consume the output? Yes. The --manifest flag outputs a minimal discovery manifest with component capabilities and an interop graph showing which components can communicate. Designed for agent orchestration systems.

Is it free? Yes, Apache-2.0 licensed. Zero install: npx @firmislabs/ai-inventory.

License

Apache-2.0

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