The LGTM (Page 90)

The LGTM

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DeepAgents CLI 0.1.1 Adds the Container Host Flag That Separates Local Agent Dev From Accidental Exposure

DeepAgents CLI 0.1.1 Adds the Container Host Flag That Separates Local Agent Dev From Accidental Exposure

DeepAgents CLI 0.1.1 is a one-flag release, which makes it a useful test of whether we are paying attention to the right things. The new flag is --host for deepagents dev. It defaults to 127.0.0.1 and can be set to 0.0.0.0 when

n8n 1.123.44 Patches the Sandbox and LangSmith Dependencies Under AI Workflow Automation

n8n 1.123.44 Patches the Sandbox and LangSmith Dependencies Under AI Workflow Automation

The most important n8n release today is easy to underrate because the changelog line looks like maintenance work: “Fix 11 critical issues in vm2, protobufjs, langsmith and 1 more.” That is not housekeeping. For a workflow automation platform with native AI features, LangChain-backed workflows, custom Code nodes, credentials, integrations, and

Mastra 1.35 Turns Fine-Grained Authorization From Route Metadata Into Runtime Coverage

Mastra 1.35 Turns Fine-Grained Authorization From Route Metadata Into Runtime Coverage

Mastra 1.35 is the kind of release that looks like framework plumbing until you imagine it missing in production. The headline is not a new agent demo, a shinier chat UI, or another claim about autonomous work. It is authorization coverage: the unglamorous question of whether every protected route

Gemini CLI’s New Nightly Fixes the Boring Breakage That Decides Agent Adoption

Gemini CLI’s New Nightly Fixes the Boring Breakage That Decides Agent Adoption

Most coding-agent coverage still treats models like race cars: compare the horsepower, quote the lap time, ignore the brakes. Google’s latest Gemini CLI nightly is useful because it is almost entirely brakes, seatbelts, and dashboard lights. The v0.44.0-nightly.20260517.g77e65c0db release, published at 2026-05-17T23:28:44Z, ships

Nemotron Omni on Thor Is Where Local Multimodal AI Gets Real — And Fragile

Nemotron Omni on Thor Is Where Local Multimodal AI Gets Real — And Fragile

Nemotron Omni on Jetson Thor is a better story when it fails in public. The clean version is easy: NVIDIA has a 31B-parameter multimodal model, quantized to NVFP4, with about 3B active parameters per token, supported on Jetson Thor, DGX Spark, RTX 5090-class hardware, and the usual Blackwell ecosystem. It