Amazon AgentCore

An AWS service for building AI agents. AgentCore provides building blocks for developing agents with different underlying models and is offered alongside Amazon Bedrock as part of AWS's agent-development services.

Amazon Bedrock is a managed AWS service for building and running production generative AI workloads with hosted foundation models and APIs. It provides access to Amazon's and third-party models with managed infrastructure and tooling; customer data remains within the customer's VPC, prompts are not sent to model providers, and most inference traffic runs on AWS Trainium chips.

Agent Plugins for AWS is an AWS Labs collection of plugins for AI coding agents, helping them architect, deploy, and operate on AWS. Supported agents include Claude Code, Codex, and Cursor. Each plugin can package agent skills—structured workflows and best-practice playbooks—alongside MCP servers that provide access to live documentation, pricing data, and other APIs; hooks that validate changes or trigger workflows; and references containing documentation and configuration defaults. The repository describes the plugins as reusable, versioned capabilities intended to reduce prompt context and standardize agent behavior. It warns that generative AI can make mistakes and recommends reviewing generated code, costs, security, and credentials. The repository also identifies Agent Toolkit for AWS as the successor for production use, while stating that this project continues to work and accept contributions.

camelAI is an AI coding assistant platform built on Cloudflare Workers and Durable Objects. Each chat thread runs a coding agent in its own persistent workspace, retaining chat state and project files while providing workspace-aware tools. The platform connects to APIs, databases, email, Slack, Discord, and other services; supports application builds, notebook analysis, and SQL execution in isolated short-lived sandboxes; and provides previews and publishing through Workers for Platforms. Its agent harness is built on pi's lower-level agent-loop and state-management libraries. The agent uses native file tools and writes JavaScript rather than shell commands; Code Mode executes that JavaScript in fresh V8 isolates with explicit platform and connection methods. Project files are stored in WorkspaceFilesystem Durable Objects, using Durable Object SQLite for small files and R2 for larger ones, while Cloudflare Artifacts provides Git history. Linux sandbox containers are reserved for jobs requiring them, including builds, notebook analysis, and database queries, and credentials remain outside the execution sandbox. The platform can use Anthropic, OpenAI, OpenRouter, Bedrock, and custom model endpoints. Its repository is released under the MIT License and includes local development setup using Node.js, Bun, and a Cloudflare account.

Vertex AI is Google Cloud’s managed platform for developing and deploying machine-learning and generative-AI applications. It provides hosted models and APIs that applications, including agents, can call at runtime, along with tools for model training, evaluation, and serving.