webAI has released TwIL-LM, a family of formal-logic models at 1.7B and 3B parameters that translate English into first-order logic and check whether conclusions follow from premises. The 3B runs on ...
Shepherd is a Python substrate that records an agent’s execution as a first-class object. Every agent-environment interaction becomes a typed event in a Git-like execution trace. Core operations are ...
Yes, and locally. Shieldstral-1.0-3B fits in 16GB of VRAM in BF16, runs on a single GPU, and is licensed Apache 2.0 for commercial and non-commercial use. Serving paths are already in place: vLLM ...
Meta AI has released Muse Code (in beta), a terminal coding agent in beta, powered by its new Muse Spark 1.2 model. Meta positions the pair as its next step toward the frontier, with larger models on ...
Kitesurf splits the browser into isolated Workers components. The Engine is the only public-facing piece. It speaks the Chrome DevTools Protocol (CDP) over WebSocket plus HTTP REST, and stores each ...
Prime Intellect has open-sourced Prime Agent, a self-improving coding harness designed around two abstractions, the Recursive Language Model (RLM) and Continual Harness. Fixed tool schemas and context ...
Chat Memory is not flat. Conversations save as L0, then an async pipeline refines them into L1 Atom, L2 Scenario and L3 Core/Persona. Retrieval is layered too. L2 and L3 provide a fast context ...
LFM2.5-2.6B has 2.69B total parameters across 30 layers. The stack is 22 double-gated short convolution blocks plus 8 grouped-query attention blocks. Vocabulary size is 128,000 and context length is ...
Long-horizon agents accumulate context faster than they resolve tasks. Every tool output, observation, and intermediate reasoning step stays in the window, and the two capabilities that matter — ...
Supabase defined three dimensions: products (database, auth, storage, edge-functions, realtime, cron, queues, vectors, data-api), topics (RLS, security, migrations ...
NVIDIA Labs has open-sourced NOOA (NVIDIA Object-Oriented Agents), a model-agnostic Python framework for building AI agents. Agent development today is split across prompt templates, tool schemas, ...
In this tutorial, we build a workflow for evaluating the security posture of AI skills with NVIDIA SkillSpector. We create a synthetic skill marketplace containing clean, risky, malicious, and ...