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Detect if code is running in an AI agent or automated development environment
OCI NodeJS client for Generative Ai Agent Runtime Service
Delight AI Agent Messenger for React
Tencent AI Agent Server
OCI NodeJS client for Generative Ai Agent Service
A fast, cross-platform package manager for AI agent skills
Scaffold AI agent skills quickly with the Build Skill CLI.
[](https://www.npmjs.com/package/@telnyx/ai-agent-lib) [](https://www.npmjs.com/package/@telnyx/ai-agent-lib) [![C
VoltAgent Core - AI agent framework for JavaScript
n8n community node: AI Agent + Langfuse
Auto AI Agent 网关 CLI（WebSocket，独立二进制，无需 Bun）
Lend402 AI Agent SDK — x402 V2 JIT micro-lending interceptor for Stacks
A widget for Telnyx AI Agent
The Operating System for AI Agent Teams
Paperclip CLI — orchestrate AI agent teams to run a business
Shared TypeScript types for Multiplayer AI agent clients and services
Pre-built AI agent rules for consistent coding standards.
Agent Network Dashboard — Web UI for managing AI Agent networks
AI Agent Node.js library for multiplayer ai agents
Autonomous AI agent memory system with CLAUDE.md protocol enforcement
Event transport, replay, and durable transcripts for AI agent conversations
An open-source SDK for AI agent safety
Shared MongoDB schemas and connection for Multiplayer AI agent services
Idiomatic agent sdk inspired by the claude code source leak
Bio-chip intelligence framework: multi-sensor EEG+motion fusion + rig-core LLM orchestration + ECDSA-signed data provenance
High-quality Rust SDK for Model Context Protocol (MCP) with full TypeScript SDK compatibility
A Rust framework for building AI agents from YAML specifications with trait-based extensibility
ARC Forge DeFi platform - Solana token launch with sniper-bot prevention and deep initial liquidity, powered by Rig (ARC) AI agents
Agent coordination primitives + multi-agent patterns for the Brainwires Agent Framework — communication hub, file/resource locks, task manager/queue, git coordination, contract net, saga, optimistic concurrency, market allocation, workflow graph, three-state model. LLM-driven workhorses live in `brainwires-inference`.
AI agent interaction layer for browser automation — MCP server, observe/act loop
LLM agent coordinator — self-guardrailing state machine generation and execution
Cryptographic signing layer for high-frequency trading: ECDSA/Ed25519 forward-engineering + 7-exchange API authentication
Agent orchestration SDK for building agentic AI workflows with tool use, memory, and multi-agent delegation
Typed event definitions for agent-to-platform messaging in the Nenjo orchestration framework
Tool trait, types, and built-in tool implementations for the Nenjo agent platform
A Ruboty plugin that uses AI to generate responses.
Ruby AI Agents SDK enables creating complex AI workflows with multi-agent orchestration, tool execution, safety guardrails, and provider-agnostic LLM integration.
The only agent-oriented AI framework designed for Rails, where Agents are Controllers. Build AI features with less complexity using the MVC conventions you love.
Payloop gives AI teams real-time visibility into the true costs of deploying agents - across tasks, workflows, and customers.
A11y Agent is a tool that helps you fix accessibility issues, using AI and user input.
Architecture/Schema for AI Agents
Ruby Agents with AI
AgentHarness provides a unified interface for CLI-based AI coding agents like Claude Code, Cursor, Gemini CLI, and others. It offers full orchestration with provider switching, circuit breakers, health monitoring, flexible configuration, dynamic provider registration, and token usage tracking.
Phronomy provides composable building blocks — Agents, Workflows, Tools, Guardrails, and Tracing — for building AI agents in Ruby. Powered by RubyLLM for LLM abstraction.
Riffer is a comprehensive Ruby framework designed to simplify the development of AI-powered applications and agents. It provides a complete toolkit for integrating artificial intelligence capabilities into your Ruby projects.
SwarmSDK is a complete reimagining of Claude Swarm that runs all AI agents in a single process using RubyLLM for LLM interactions. Define collaborative AI agents in simple Markdown files with YAML frontmatter, and orchestrate them without the overhead of multiple processes or MCP inter-process communication. Perfect for building lightweight, efficient AI agent teams with specialized roles and capabilities.
Regent is a library for building AI Agents that utilize tools to accomplish tasks. Current implementation is based on the ReAct Agent architecture.
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