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Coding agents now run for hours, not minutes. Every edit, test run and log read goes back into the model’s context. A team of researchers from NVIDIA, NTU and MIT have released SoL-Pi, a set of 4 efficiency mechanisms for the open-source Pi coding agent. An AI found these mechanisms by running auto-research loops at […]
Many developers find that an agent idea works inside Claude Code or Codex, then struggles once they rebuild it with their own loop. The Strands Agents team at AWS is targeting that gap with Strands harness, a fully assembled, general-purpose agent harness. It runs locally or deploys to a cloud provider, ships for Python and
A stock voice only needs to sound good. A cloned voice must sound like one specific person. That is a harder test, and the 7 Voice cloning providers here handle it very differently. We recorded one 10-second reference clip and cloned it on every platform. The results sit side by side below, unlabeled, so you
OpenClaw is an open-source, MIT-licensed personal AI agent that you run on your own machines. Its Gateway connects models, tools, and chat channels such as Telegram, Slack, and Discord. The project has now shipped version 2026.9.5, announced on X. The release bundles 4,179 pull requests and 64 direct commits, with credits to 502 contributing accounts.
The ChatGPT moment in 2022 taught AI to talk to people. One of its builders now bets the next moment is AI that talks to software, not people. TypeSafe AI released Jev. Jev is transformer-based, but it is not a large language model. It does not generate text. You send a state and typed questions.
Meta has released Muse for Mac, the first version of Muse that can complete things on a user’s computer. The agent works with local files and native apps, where your data already lives. It adds a desktop layer to an agent that launched on phones, the web and WhatsApp earlier this month. Is it deployable?
An agent is a model and a harness. The harness runs tools, holds state, manages permissions, and feeds context back to the model. With a local model, the harness matters more. Small context windows and weaker tool calling expose every design flaw. This guide ranks 11 open-source harnesses by how well they document local inference.
Best Open-Source Agent Harnesses for Local LLMs in 2026 Read More »
Alibaba’s Qwen team has released Qwen3.8-Omni-Flash. They called it its first omni-modal model built around agentic capabilities. It accepts text, images, audio, and video, and it returns text. Audio-video understanding, reasoning, and tool use sit inside one model. The stated workflow is simple: understand the content, plan the task, execute with tools, deliver the result.
Spinning up a flashy prototype with an LLM has never been easier, but in production, building an agent is just the opening 10% sprint. The real marathon, the brutal 90% that determines whether enterprise AI crashes or soars, comes down to relentless evaluation, regression testing, and post-deployment optimization. While anyone can ‘vibe code’ an AI
Anthropic redesigned Projects in Claude Code. The old project was a folder: some files plus one chat. The new one is a single ongoing conversation where Claude acts as coordinator. You describe work, and Claude decides what becomes a thread. Each thread is a full Claude Code cloud session running on its own branch and
