Managed-Agents

The number-one friction point in production agentic systems has always been the same: agents that forget everything the moment a session ends. You train them, tune their prompts, watch them do something brilliant — and then the next conversation starts from zero. That changes today. Anthropic announced the public beta of Memory on Claude Managed Agents, and it’s a more thoughtful implementation than most of what we’ve seen in the memory-for-LLMs space. ...

Anthropic published one of its more technically substantive engineering blog posts this week: a deep dive into Claude Managed Agents, their hosted service for running long-horizon AI agents. The core thesis is elegant and directly relevant to anyone building production agent systems today. The Brain/Hands Problem The central challenge Anthropic addresses is one that every serious agentic AI practitioner has run into: your harness — the loop of code that calls Claude, handles tool results, manages context, and decides when to stop — encodes assumptions about what the model can and can’t do. The problem? Those assumptions go stale as models improve. ...

Anthropic just moved the goalposts for enterprise AI deployment. On April 8, 2026, the company launched Claude Managed Agents into public beta — a centralized platform that handles all the messy infrastructure work that has historically made deploying agent fleets a months-long ordeal. The pitch is simple and ambitious: go from prototype to production in days, not months. What Are Claude Managed Agents? If you’ve ever tried to deploy a production-grade AI agent system from scratch, you know the pain. Authentication flows, rate limit handling, retry logic, observability hooks, scaling policies — none of that is actually building your product. It’s infrastructure tax. ...

Anthropic’s Claude Managed Agents entered public beta on April 8, 2026. If you’ve been waiting for a managed platform to deploy Claude-powered agents without standing up your own infrastructure, this is it. Here’s how to get started. Prerequisites Before you begin, you’ll need: An Anthropic API account (platform.anthropic.com) Access to the Managed Agents beta (apply at the developer platform) Basic familiarity with REST APIs or the Anthropic Python/TypeScript SDK Python 3.10+ or Node.js 18+ for the examples below Step 1: Apply for Beta Access Navigate to platform.claude.com and look for the Managed Agents section. As of the public beta launch, this is open to teams — not just individual developers. You’ll want to apply with your organization’s use case described, as Anthropic appears to be prioritizing enterprise workloads. ...

China’s biggest tech companies aren’t sitting out the agentic AI race — they’re building platforms that address what enterprise customers actually want: the power of OpenClaw with none of the operational burden. Baidu AI Cloud has launched DuClaw, a fully managed, zero-deployment AI agent platform targeting Chinese enterprise customers. The timing couldn’t be more loaded: DuClaw arrives the same week CNCERT issued its stark warning about OpenClaw’s weak security defaults, effectively validating Baidu’s entire pitch. ...