Fetching from the wire…
Agents2026-08-09 · source-backed
npx @cloudinary/cloud returns a working cloud name, API key, secret, and CLOUDINARY_URL immediately, running on the same infrastructure serving production traffic (Cloudinary). The safety model is containment, not simulation: the response includes an EXPIRES_AT roughly 24 hours out and a DELIVERY_IPS allowlist, and a human must claim the cloud to unlock durable storage and public visibility. The agent builds and verifies, the human decides what ships. That's the correct division of labor, and I expect other API vendors to copy it within a quarter.
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1,127 stars in eleven days. The whole pitch is "Permanent memory for AI agents. A 426-token prompt, a script, plug and play," positioned deliberately against the vector-database memory stack, and arriving the same week Tencent Cloud shipped a three-service Dockerized memory hu...
Announced August 4, open-source, putting any AG-UI-compatible agent into Slack and Teams with the same memory and context as the humans in the thread; Discord and Telegram listed with native interactive UI. Your agent stays in your infrastructure over AG-UI, but every channel...
LLMs barely correct errors in their own reasoning traces but readily correct the identical claim when it's attributed to an external source. Relabeling a claim from the agent's own role to an external one raises the explicit-correction rate by 23 to 93 percentage points across...
MemPalace (~53.6K stars) claims best-benchmarked, against mem0 (~57.8K) and claude-mem (~80.8K) (GitHub). Agent memory went from experimental nicety to a competitive subcategory with published benchmarks. Pair this with the local-first angle: Mnemo offers a Rust + SQLite + pet...
I've been saying for months that the missing piece in agentic coding isn't smarter models. It's that agents can't provision anything. They can write code all day but the moment they need a database, an auth provider, or a hosting account, a human has to step in, click through...
NVIDIA's Blackwell successor is in production ahead of schedule. The NVL72 rack (72 GPUs) delivers 3.6 exaFLOPS for inference, with 288GB HBM4 per GPU. NVIDIA claims 10x lower cost-per-token versus Blackwell. The Rubin CPX variant — purpose-built for million-token inference —...
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