Tag: #agent-runtime

OpenAI Agents API conceptual cover: managed harness connected to a separate execution environment

OpenAI Agents API: What a Self-Hosted Sandbox Does—and Does Not—Control

OpenAI Agents API self-hosted sandbox limits: the managed harness, execution ownership, session overrides, data retention, and what your application still handles.

Product Updates September 11, 2026 openaiagents-apisandbox

Layered AI agent stack from models to governed runtime

AI Agent Stack 2026: Claude, OpenAI, Gemini, MCP, and the Runtime Layer

A practical map of the 2026 AI agent stack: model providers, tool protocols, Skills, orchestration, and runtimes, with a clear guide to where each layer belongs.

Developer Tools August 25, 2026 ai-agentsclaudeopenai

SandBase Managed Agents: Open-Source CMA-Compatible Runtime

SandBase Managed Agents is an open-source, local-first agent runtime with CMA-compatible APIs, multiple sandbox backends, and model-agnostic design.

Product Updates August 13, 2026 sandbasemanaged-agentsopen-source

Comparison diagram of Blaxel, Daytona, E2B, and SandBase as AI sandbox options for production agents

Best AI Sandboxes for Agents (2026): E2B, Daytona, Blaxel

Ranked comparison of the best AI sandboxes for agent code execution in 2026. E2B, Daytona, Blaxel, and SandBase tested on features, pricing, and production readiness.

Best Of July 6, 2026 ai-agentsandboxsecure-execution

Comparison diagram of Composio, Zapier MCP, Arcade, Workato, and Pipedream as MCP servers for AI agents

Best MCP Servers for AI Agents in 2026

The 7 best MCP servers for AI agents in 2026, ranked. Composio, Zapier MCP, Arcade, Workato compared on tool count, latency, and agent compatibility.

Best Of July 6, 2026 ai-agentmcptools

Diagram of permission gates controlling what autonomous AI agents can read, run, mutate, audit, and stop

Pre-Action Authorization for AI Agents

Pre-action authorization checks every AI agent tool call before it runs. Learn how to gate reads, writes, code execution, and loops.

Agent Use Cases July 6, 2026 ai-agentagent-runtimetool-use

MCP Execution Boundaries for Production Agents

MCP execution boundaries help production AI agents use tools safely. Learn what to control after tools are connected and before loops run.

Agent Use Cases July 4, 2026 ai-agentmcpagent-runtime

SandBase developer discovery path across website, blog, GitHub, and social surfaces

SandBase Update: Agent Infrastructure July 2026

A short SandBase product update on agent-first messaging, model registry updates, runtime examples, status visibility, and open-source agent infrastructure assets.

Product Updates July 4, 2026 sandbaseai-agentagent-infrastructure

SandBase 30-day public presence and developer discovery recap

30 Days to Make an AI Infrastructure Startup Discoverable

A practical recap of how SandBase used 30 days to build public presence, technical content, open-source assets, and the first search visibility baseline.

Product Updates July 3, 2026 sandbaseai-agentagent-runtime

Why Production AI Agents Need a Runtime Layer

The agent runtime layer is the production infrastructure between your framework and model. Why it decides durability, isolation, and recovery.

Agent Use Cases June 21, 2026 ai-agentagent-runtimeagent-infrastructure