Enforce consistent AI execution logs across Codex, Cursor, Claude Code, and other agent environments.
LangGraph
Provides audit logging functionalities for Node.js applications
ecs-logging-nodejs helpers
memlab browser E2E interaction libraries
A debug logger package for other Google libraries
The `@elizaos/core` package provides a robust foundation for building AI agents with dynamic interaction capabilities. It enables agents to manage entities, memories, and context, and to interact with external systems, going beyond simple message response
[](https://www.npmjs.com/package/@aws-sdk/middleware-user-agent) [](https://www.npmjs.c
A plugin for the Serverless framework which configures ApiGateway access adn execution log retention.
Module to create a basic Pino LoggerConfig to support Google Cloud structured logging
Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter
This package provides the core HTTP request orchestration, response handling, and API call coordination.
Microsoft Azure SDK for JavaScript - Logger
CLI tools for AI agents
Minimal lightweight logging for JavaScript, adding reliable log level methods to any available console.log methods
[](https://www.npmjs.com/package/@aws-sdk/util-user-agent-browser) [](https://www.n
No description provided.
Cloud Logging Client Library for Node.js
A logger for just about everything.
General-purpose agent with transport abstraction, state management, and attachment support
Bot in a Box — framework for building multi-agent bots
Turn a function into an `http.Agent` instance
Local-first NPX wrapper around vibe-kanban and vibe-kanban-mcp
No description provided.
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
Rails Active MCP enables secure Rails console access through Model Context Protocol (MCP) for AI agents and development tools like Claude Desktop. Provides safe database querying, model introspection, and code execution with comprehensive safety checks and audit logging. Features include: • Safe Ruby code execution with configurable safety checks • Read-only database query tools with result limiting • Rails model introspection (schema, associations, validations) • Dry-run code analysis for safety validation • Environment-specific configuration presets • Comprehensive audit logging and monitoring • Claude Desktop integration out of the box
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution