Akamai Functions

Akamai is a technology company whose developer resources cover inference optimization, AI agents, and managed Kubernetes. In the cited material, an Akamai developer advocate explains speculative decoding, in which a smaller draft model proposes tokens and a larger target model verifies them in one forward pass, and demonstrates the technique with vLLM.

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.

Agent Memory Server (AMS) is an open-source memory server built on Redis for AI applications. It provides short-term session memory and long-term vector memory, with support described in the source material for multi-tenant post-filtering, query compression, few-shot examples, reranking, summarization, token-window management, and semantic caching. It was used behind an Alexa skill to test memory handling in an assistant under an eight-second response constraint.

Amazon EC2 is Amazon Web Services' cloud compute service, providing secure, resizable computing capacity as part of AWS's cloud-computing platform on a pay-for-use basis. It provides a sandbox or virtual-machine environment inside a VPC for running agents securely, with a broad choice of processors, storage, networking, operating systems, and purchase models.

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.