-
DeepMind’s Co-Scientist Moves From Demo to Nature-Validated Discovery
Google DeepMind’s Co-Scientist just made the jump from research demo to a tool working scientists can actually request — landing a Nature paper and an experimental rollout through Gemini for Science. It’s a multi-agent system built on Gemini that generates, debates, ranks, and evolves scientific hypotheses. ## A coalition of agents, not one model Rather… Continue reading
-
TriSplat Exports Simulation-Ready 3D Meshes in Under 1.3 Seconds
TriSplat is a feed-forward network that reconstructs a 3D scene from sparse, unposed images and exports it as a simulation-ready triangle mesh — in a single forward pass. No camera calibration, no post-hoc mesh extraction step. ## Triangles instead of Gaussians Most recent reconstruction pipelines use Gaussian splatting, which renders beautifully but needs a slow,… Continue reading
-
QUEST Trains Open Deep Research Agents on 8,000 Synthetic Tasks
QUEST is a family of open deep research agents, spanning 2B to 35B parameters, trained to do something most agents still rely on closed APIs for: long-horizon search, fact-seeking, citation grounding, and report synthesis. The headline is the training data — there isn’t any human-labeled set behind it. ## Synthetic tasks, verifiable rewards QUEST is… Continue reading
-
GitHub Agentic Workflows adds fine-grained agent permissions and end-to-end OpenTelemetry tracing
GitHub Agentic Workflows (gh-aw) — GitHub’s system for running event-triggered and scheduled AI agent jobs in your repos — shipped an update focused on the unglamorous but critical parts: permissions and observability. ## What’s new Claude’s permission mode is now decoupled from bash wildcard access. You set engine.permission-mode explicitly in workflow frontmatter for fine-grained control… Continue reading
-
Kore.ai Artemis ships a compiled ‘Agent Blueprint Language’ for governed enterprise multiagent systems
Kore.ai launched Artemis, a new-generation agent platform for building, governing, and optimizing enterprise AI agents. The headline feature is Agent Blueprint Language (ABL) — a compiled, declarative language that standardizes how agents, systems, and workflows are defined, validated, and governed. ## Why “compiled” matters Most agent platforms let you wire up workflows visually or in… Continue reading
-
Foundation Protocol proposes a coordination layer for an ‘agentic society’ of many AI agents
Foundation Protocol is a proposed coordination layer for what its authors call an “agentic society” — the emerging world where many AI agents, built by different parties, need to discover, negotiate with, and coordinate with each other. ## Where it fits in the protocol stack 2026’s agent infrastructure has been assembling in layers: MCP (agents… Continue reading
-
Macaron-A2UI is a model for generative UI in personal agents — interfaces the agent builds on the fly
Macaron-A2UI is a model for generative UI in personal agents: instead of returning text, the agent generates an actual interface — buttons, forms, charts — tailored to the task at hand. It builds on A2UI, the framework-agnostic generative-UI protocol that lets agents render components across web, mobile, and desktop. ## The generative-UI shift 2026 has… Continue reading
-
Rixx is a Perplexity alternative built around the whole research workflow, not just the answer
Rixx positions itself against Perplexity with a different emphasis: where Perplexity optimizes for delivering a cited answer, Rixx is built around the entire research process — search, explore, analyze, and turn findings into structured outputs, all in one connected workflow. Its tagline: “from search to publishable research in one workflow.” ## What’s different Both give… Continue reading
-
ModelHub is the missing menu bar app for local LLMs on Mac — one hub for Ollama, MLX, LM Studio, and llama.cpp
ModelHub is a native macOS menu bar app that puts local-LLM management in one place. Discover models from Hugging Face, download the right local build, manage your model library, and run them through Ollama, MLX, LM Studio, or llama.cpp — without bouncing between browser tabs, terminal commands, model cards, and local folders. ## The discovery-layer… Continue reading
-
SciAtlas builds a large-scale knowledge graph to automate scientific research
SciAtlas, from UCL, is a large-scale knowledge graph aimed at automating scientific research — structuring the relationships across papers, methods, datasets, and findings so an AI system can navigate the literature the way a domain expert does. ## The problem Scientific literature expands faster than any human can track. Automated knowledge-graph construction is a hot… Continue reading
Top AI Product
Every day, hundreds of new AI tools launch across Product Hunt, Hacker News, and GitHub. We dig through the noise so you don't have to — surfacing only the ones worth your attention with honest, no-fluff reviews. Explore our latest picks, deep dives, and curated collections to find your next favorite AI tool.
Top AI Product 