Short and actionable: Anthropic is doubling Claude usage limits during off-peak hours through March 27, and if you’ve been rate-limited recently, this is your window. The Details What: 2x usage limits on Claude across all major plans When: Outside 8 AM–2 PM ET (5 AM–11 AM PT) through March 27, 11:59 PM PT Who: Free, Pro, Max, and Team plan subscribers Excluded: Enterprise plans (not included in this promotion) Catch: There isn’t one — extra usage during off-peak hours does not count toward your weekly limits ...

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. ...

CNCERT just flagged 135,000 publicly exposed OpenClaw instances. If yours is one of them, this guide is for you. The 2026 OpenClaw security advisory covers two CVEs and a systemic issue with weak default configurations. This guide walks you through the practical steps to harden your deployment — from critical patches to defense-in-depth practices that protect against prompt injection attacks. Time to complete: 30–60 minutes Applies to: All self-hosted OpenClaw deployments Urgency: High — patch the CVEs first ...

The Model Context Protocol has had a remarkable year. What started as Anthropic’s attempt to standardize how AI models connect to external tools and data sources has become, almost by accident, the de-facto tool layer for the entire agentic AI ecosystem. Claude uses it. OpenAI-compatible agents use it. Builders across the industry are shipping MCP servers like it’s the new API endpoint. But if you’ve tried to run MCP seriously in production, you’ve bumped into the same set of friction points. Authentication is awkward. Streaming is limited. Discovering MCP servers requires manual configuration. Multi-agent handoffs lack proper task lifecycle semantics. And when things fail — network blips, agent restarts, timeout conditions — the retry behavior is undefined. ...

If you’ve built anything serious with OpenClaw agents, you’ve hit the memory wall: agents that forget everything between sessions, multi-agent pipelines that can’t share context, and the perpetual workaround of dumping state into handoff files or external databases. Memori Labs has just shipped a direct answer to that problem. The Memori Labs OpenClaw Plugin adds automatic, persistent memory recall and capture to agents running through OpenClaw gateways. Agents can now access shared context across sessions and across multiple agents in the same deployment — without custom database integrations or session-state hacks. ...

Breaking news from MiniMax: the company has officially released M2.5, the latest entry in its M2 model family — and the benchmarks are going to raise some eyebrows. SOTA on coding. Twice the speed of its predecessor. And priced so aggressively that the company’s own marketing frames it as “intelligence too cheap to meter.” At $1 per continuous hour of inference at 100 tokens per second, or $0.30 at 50 tokens/sec, MiniMax M2.5 is targeting a very specific pain point for anyone building with agentic AI at scale: cost. ...

If you’re running a self-hosted OpenClaw instance — and odds are you are, given the platform’s explosive growth — today’s news from China’s National Computer Network Emergency Response Technical Team (CNCERT) is a wake-up call you shouldn’t scroll past. CNCERT has officially warned that OpenClaw’s default security configurations are dangerously weak, and the numbers behind that warning are staggering: over 135,000 public instances running with zero authentication. Two active CVEs. And a Chinese government ban on OpenClaw deployments in government systems. ...

Gumloop just landed $50 million in Series B funding led by Benchmark, and the bet is straightforward: most people who could benefit from AI agents can’t write code to build them. Gumloop wants to fix that. The round positions Gumloop alongside the growing class of no-code AI agent platforms targeting enterprise teams, but the customer traction sets it apart. Shopify, Ramp, and Gusto are already running on Gumloop — these aren’t pilot customers, they’re companies with serious automation requirements. ...

Two hours. That’s how long it took an autonomous AI agent to crack open McKinsey’s internal AI assistant and walk out with 46 million chat messages, 728,000 confidential client files, and 57,000 user account records — all in plaintext. The breach wasn’t carried out by a human hacker manually probing endpoints. It was executed by an offensive AI agent deployed by CodeWall, a red-team security startup, as part of an authorized penetration test. The agent operated autonomously: it selected the target, identified the attack surface, and executed the breach without human intervention beyond the initial launch. ...

If you’ve been hesitating to build long-context workflows because of the cost, Anthropic just removed the last excuse. As of March 13, 2026, the full 1 million token context window is generally available for both Claude Opus 4.6 and Claude Sonnet 4.6 — at standard API pricing, with no premium multiplier attached. That’s a significant shift. Until now, heavy long-context usage carried an implicit tax: either you paid a premium rate for requests over certain thresholds, or you engineered around the limitation with chunking, compaction, and lossy summarization. Those workarounds aren’t free — they cost engineering time, introduce accuracy loss, and add system complexity. Anthropic is now saying: stop doing that. ...