This README would normally document whatever steps are necessary to get your application up and running.
The safe AI coding agent — zero-config, gatekeeper-verified patches
One-command installer for IJFW -- the AI efficiency layer. One install, every AI coding agent, zero config.
One-command installer for AgentHarness -- the AI efficiency layer. One install, every AI coding agent, zero config.
One contract. Every AI agent. Zero clutter.
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
Loads environment variables from .env file
better fetch for Node.js. Works on any JavaScript runtime!
Corelay Mesh Agent — zero-dependency telemetry SDK. Reports health, errors, LLM usage, and HTTP metrics to Corelay Command.
Is this value negative zero? === will lie to you
Headless React hooks for @awesome-agent — zero styling, pluggable transport
Turn a function into an `http.Agent` instance
An HTTP(s) proxy `http.Agent` implementation for HTTPS
Maps proxy protocols to `http.Agent` implementations
DLX7 Agent Zero Trust (AZT) MCP server — governance runtime for AI coding agents. Validates every file edit and shell command before execution. Works in VS Code, Cursor, Windsurf, and Claude Desktop.
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-node) [](https://www.npmjs.com/
[](https://www.npmjs.com/package/@aws-sdk/middleware-user-agent) [](https://www.npmjs.c
The official CLI for Lark/Feishu open platform
AgentWallet plugin for Agent Zero — wallet operations via Python-to-Node.js bridge
Get a user agent string across all JavaScript Runtime Environments
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-browser) [](https://www.n
An HTTP(s) proxy `http.Agent` implementation for HTTP
A SOCKS proxy `http.Agent` implementation for HTTP and HTTPS
CDP Agentic Wallet + x402 payments for pi-coding-agent. Zero-setup agent wallets with Base L2 support
Automatically track and bill AI agent usage with zero-config instrumentation for OpenAI, Anthropic, and more
Automatically track and bill AI agent usage with zero-config instrumentation for OpenAI, Anthropic, and more
Discover, execute, and monetise AI agents with the AgentDyne Ruby SDK. Zero required dependencies.
Command-line interface for ShapeUp, the Shape Up methodology platform. Works with any AI agent that can execute shell commands. Zero dependencies — pure Ruby stdlib.
Devex provides a unified `dx` command for common development tasks. Features include: - CLI framework with automatic help generation and nested subcommands - Agent-aware output (detects AI agents and adapts output format) - Environment orchestration (mise, bundle exec, dotenv integration) - Project path conventions with fail-fast feedback - Zero-dependency support library (Path class, ANSI colors, core extensions)
Gives Gemlings agents browser control via Playwright. Named persistent pages, auto-connect to Chrome, screenshots, and sandboxed file I/O. Zero telemetry.
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