Agent Plugins for AWS

OpenAI Plugins is a curated repository of Codex plugin examples, maintained as a directory of independently packaged plugins and marketplace manifests. Each plugin has a required `.codex-plugin/plugin.json` manifest and may include skills, app and MCP configuration, agents, commands, hooks, assets, and other supporting files. The repository's standard and API-key-login marketplaces index the available plugins, including examples for Figma, Notion, iOS and macOS development, web apps, Expo, Netlify, Remotion, and Google Slides.

Amazon Bedrock AgentCore is an AWS service for deploying and operating AI agents in production. It provides a framework- and model-agnostic runtime for agents built with systems such as Strands Agents, CrewAI, LangGraph, LlamaIndex, Google ADK, or OpenAI Agents, with support for Python and TypeScript applications. Its capabilities include managed agent runtime hosting, sessions, memory, identity and access management, a gateway for turning APIs, Lambda functions, and services into MCP-compatible tools, built-in tools such as code execution and web search, and OpenTelemetry-based observability for tracing, debugging, and monitoring. The linked AWS Labs repository provides sample applications, tutorials, deployment templates, integrations, and blueprints covering these capabilities. The AgentCore CLI scaffolds projects, supports local development with hot reload and local invocation, and deploys agents to AWS with commands such as `agentcore deploy` and `agentcore invoke`. The samples repository is licensed under Apache 2.0.

Amazon AgentCore is a set of AWS building blocks for constructing AI agents with any model, whether used inside or outside Amazon Bedrock.

Agency Agents is a collection of specialized AI-agent instruction files and a native desktop app for macOS, Linux, and Windows. Its agents define domain-specific identities, workflows, rules, deliverables, code examples, and success metrics across engineering, design, marketing, sales, testing, security, finance, game development, GIS, healthcare, and other divisions. The repository provides scripts that convert and install the agents into tools including Claude Code, Cursor, GitHub Copilot, Gemini CLI, OpenCode, Aider, Windsurf, Qwen Code, Kimi Code, Codex, Osaurus, and others; the app browses the roster, installs selected agents, and keeps them updated. The repository is distributed under the MIT License.

AgentOps is an open-source observability and developer-tools platform for building, evaluating, and monitoring AI agents. Its Python SDK records agent sessions and LLM calls for dashboard-based session replays, step-by-step execution graphs, debugging, analytics, cost tracking, and benchmarking. Developers instrument code with decorators for sessions, agents, operations, tasks, and workflows; these support nested span hierarchies, input and output recording, exception handling, asynchronous functions, generators, and custom attributes. The SDK provides integrations with agent frameworks and LLM systems including CrewAI, AG2/AutoGen, Agno, LangGraph, and the OpenAI Agents SDK, and the platform can be self-hosted with its dashboard and API backend. The app is released under the MIT license.