
AIR SDK
io.github.ArcedeDevPublished by GitHub account ArcedeDevv0.2.12Updated Oct 24, 2026
Collective intelligence for browser automation agents. Site capabilities, selectors, and extraction.
Overview
Gives browser automation agents pre-verified site capabilities, CSS selectors, and structured extraction so they can act without guessing at the DOM.
- What you can do
- AIR SDK exposes tools for discovering what actions are automatable on a website, returning execution plans with CSS selectors and fallbacks, extracting structured data from URLs, and extracting text from local or remote files such as PDF, DOCX, XLSX, and CSV. It also accepts outcome reports to improve shared site intelligence. It runs as a local MCP server over stdio and can wrap existing Playwright, Puppeteer, or Browser Use pages.
- When to use it
- Use it when building or running browser automation agents that repeatedly inspect pages and reason about which elements to click, and you want selector lookup and capability discovery instead of LLM DOM reasoning. It is an early research preview, so treat it as experimental.
- Requirements
- Node.js 18 or newer. An AIR_API_KEY from the provider dashboard, supplied by environment variable or stored in the local credentials file. Optional peer dependencies Playwright, Puppeteer, or Browser Use. Network access to the provider API. Free tier includes 1,000 executions per month.
Installation
In SourceWeft
- Open AIR SDK in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
AIR SDK
Collective intelligence for agents. Stop your agents from guessing how to use the web. Let them know what to do. Think; hive mind. Let's make the open agent internet.
[npm version] [downloads] [license] [docs] [tests] [typescript strict]
Install · Quick Start · Why · Agent Skill · Docs
Your browser agent wastes tokens and time every time it asks an LLM what to click. AIR SDK replaces guessing with knowing. This is an early research preview.
Up to 7,000x cost reduction and 280x faster vs frontier models. One function call. Zero code changes.
Benchmarks
Measured across 8 major domains, 40 cold API calls, cache disabled. LLM baseline priced at Frontier Model ($15/$75 per M tokens). AIR SDK at Scale tier ($149/mo, 250K executions).
The more complex the workflow, the more you save. LLM costs compound — every action adds to the conversation context, making each subsequent round trip more expensive. AIR's macro path is always one API call, regardless of how many steps the workflow has.
Methodology & raw data
LLM baseline: Agent inspects page DOM, reasons about which elements to interact with, generates tool calls. Frontier Model pricing ($15/M input, $75/M output).
- 1 action: ~4,000 input + 800 output tokens x 2 round trips = ~9,600 tokens, ~$0.24, ~4s reasoning time.
- 10 actions: Context grows with each action (conversation history accumulates). Average ~6,000 input + 1,000 output tokens x 2.5 round trips per action = 25 total LLM calls, ~175,000 tokens, ~$4.13, ~50s reasoning time.
- Sonnet 4 comparison: 5x cheaper per token — 1 action: ~$0.05, 10 actions: ~$0.83. Still 80–1,400x more expensive than AIR at Scale.
AIR SDK macro path: Pre-verified CSS selectors returned via API. Agent executes directly — no DOM inspection, no LLM reasoning. Cost = plan price / included executions.
Raw API latency (40 measurements, cache disabled):
- browse_capabilities: 180ms median, 148ms min, 421ms p95
- execute_capability: 178ms median, 146ms min, 333ms p95
- Combined: 354ms median, 304ms min, 1010ms p95
Cost per action by tier:
Capabilities discovered: 16 avg per domain (range: 3–39)
Last run: 2026-03-20 | Run benchmark yourself: npx tsx benchmark/run.ts
Prerequisites
- Node.js >= 18
- One of: Playwright, Puppeteer, or Browser Use (optional peer dependencies)
Install
Agent Skill (recommended for AI coding agents):
Free tier included. No credit card. Make the network smarter, star the repo and share it ⭐
Lightweight Alternatives
Don't need the full SDK? We publish standalone packages for common use cases:
Quick Start
Wrap your existing Playwright page. Nothing else changes.
Also works with Puppeteer and Browser Use:
Why
Browser automation is fragile. Selectors break. Sites change. Your agent has no idea what's possible until it's already on the page.
AIR SDK gives your agent three things:
How it works: Wrap your page with withAIR(). The SDK observes actions, resolves selectors, and preloads site capabilities. Your code doesn't change — it just works better.
Privacy-first: Input values, cookies, and PII are never sent. See our privacy docs →
Credential Management
API keys are stored at ~/.config/air/credentials.json with 0600 permissions (owner read/write only).
Key resolution order: AIR_API_KEY env var → ~/.config/air/credentials.json → .env in current directory.
Agent Skill
Give your coding agent site intelligence with one command:
This auto-detects Claude Desktop, Claude Code, Cursor, Windsurf, and OpenClaw, writes the MCP server config, and injects your API key. It installs @arcede/air-sdk globally for fast agent startup (~2s instead of ~60s with npx) and writes the absolute binary path to each config to avoid npx version caching issues. Restart your agent and it instantly has new tools.
Manual setup (Claude Desktop, Claude Code, Cursor, Windsurf, OpenClaw)
Requires global install:
npm install -g @arcede/air-sdk. If not installed globally, replace"command": "air-sdk"with"command": "npx"and"args": ["--mcp"]with"args": ["-y", "@arcede/air-sdk", "--mcp"].
Claude Desktop — add to ~/Library/Application Support/Claude/claude_desktop_config.json:
Claude Code:
Cursor — add to ~/.cursor/mcp.json:
Windsurf — add to ~/.codeium/windsurf/mcp_config.json:
OpenClaw — add to ~/.openclaw/openclaw.json:
Tools available:
OpenAI Skill
AIR SDK is also available as an OpenAI hosted shell skill for gpt-5.4 and gpt-5.4-mini:
Then use in the Responses API:
Requires api.agentinternetruntime.com in your org network allowlist.
Configuration
Machine Payments Protocol
AIR SDK supports x402 micropayments, enabling your agent to pay for premium site access without pre-registration:
Examples
See examples/agents/ for working agent examples:
- Research Agent — Multi-source research with capability-aware navigation
- Price Comparison — Cross-site price monitoring with resilient selectors
- Capability Scout — Discover and map capabilities across domains
- Site Monitor — Track site changes with resilient selectors
Contributing
See CONTRIBUTING.md. PRs welcome.
Links
License
Source: README.md at commit e487230
Tools
0Version history
1- v0.2.12LatestSep 16, 2026
Score
50% of the applicable checks met
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- Auth declared10 pts
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- Tools listed15 pts
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