1778 summarised stories about AI Agents, each linking back to the original source. Browse all topics →
Product Hunt 3 months ago 44
Construct Computer says an AI coworker gets a computer to do the work. No specific number, price, or date is provided in the article. As a result, the pitch claims you get your day back by offloading tasks to that AI.
Latent Space 3 months ago 45
Genesis Molecular AI has developed PEARL, a diffusion-based model that predicts how drug molecules bind to proteins by accounting for protein flexibility and induced-fit dynamics that traditional methods cannot handle. The model achieved superior performance on the OpenBind benchmark of 802 unseen protein-ligand complexes, consistently reaching 1 Ångstrom RMSD accuracy—a threshold necessary for correctly modeling interactions like hydrogen bonds, compared to the field's inadequate 2 Ångstrom standard. This accuracy enables autonomous drug discovery agents to iterate through molecular design cycles continuously, combining computational predictions with automated lab testing to accelerate the search through 10^60 possible drug-like molecules.
LinkedIn 3 months ago 28
LinkedIn built an autonomous QA agent using AI and vision-language models to test applications across numerous UI variations that manual and scripted testing cannot cover. The agent uses visual understanding to evaluate software behavior across the massive number of possible interface states without predefined test scripts. This shifts quality assurance from reactive, manual testing to continuous autonomous validation that adapts to new UI changes automatically.
Latent Space 3 months ago 21 ● 6 sources
At the AI Engineer World's Fair, attendees focused heavily on "loops"—repeating cycles where agents autonomously complete tasks and restart against the same specifications—as the foundation for building software factories that automate the entire development lifecycle. Microsoft's Foundry, OpenAI's Codex, and platforms like Warp are positioning agents to handle coding, code review, and deployment with minimal human intervention, with the shift expected to create a new discipline called "software factory engineering." A new role of Forward Deployed Engineer is emerging to help organizations orchestrate these agent-based systems, shifting integration work from model development to orchestration layers.
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22 October 2026
The biggest thread today is the push to make AI agents reusable in organizations, not just clever in demos. Sakana AI’s “Sakana Aquarium” leans on ontology as the shared backbone for decision-making and execution, aiming to let teams spin up new agents by reusing prepared data and a maintained knowledge model instead of starting from scratch each workflow. That direction keeps showing up in adjacent efforts to standardize how agents package skills and access tools: the Agentic AI Foundation added the Agent Skills open standard to sit under the Linux Foundation, with 70-plus platforms integrating since December 2025 and hundreds of millions of installations behind them. Even Anthropic’s new open call for life-sciences “guest investigators” using Claude fits the same pattern—8 to 12 weeks of collaboration designed to produce publishable, open artifacts while leaving researchers in control of their own data.
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