1773 summarised stories about AI Agents, each linking back to the original source. Browse all topics →
Exponential View 3 months ago 11
Nvidia's Grace-Blackwell GPU deployment remains slow with over 95% of units not yet deployed since December 2024. An AI model with 35 billion parameters now matches trillion-parameter models on long-horizon benchmarks using a different training approach. These advances suggest smaller, more efficient models may compete with larger systems across different tasks.
Import AI 3 months ago 35 ● 3 sources
Fable, an AI system, created a GPU kernel achieving 18.71X speedup over optimized PyTorch baselines on the KernelBench-Mega benchmark, outperforming Claude Opus at 14.4X and other models. This represents progress toward autonomous AI development of fundamental computing infrastructure, potentially enabling recursive self-improvement in AI systems. As AI systems become better at coding and optimization tasks essential to AI research, they accelerate the capability expansion cycle that determines economic competitiveness.
Massively Parallel Procrastination 3 months ago 40 ● 6 sources
A software developer at Prime Radiant describes new patterns for building AI agents, particularly focusing on using agents directly in development loops rather than traditional human feedback. The architecture uses credential compartmentalization with ephemeral subagents, MITM proxies, and arbiter agents to manage security risks. The key innovation is having Claude Code collaborate with another agent (Ada-sen) on iterative development, where Claude proposes changes, Ada tests them, and they iterate together without human intervention in the loop.
GitHub 3 months ago 36
Deptrust is a CLI tool that checks package versions across 13 major package ecosystems (npm, PyPI, Cargo, Go modules, RubyGems, NuGet, Maven, Packagist, pub.dev, CocoaPods, Hex.pm, Hackage, and GitHub Actions) for known vulnerabilities by querying public registries and OSV APIs directly. The tool queries multiple vulnerability providers in parallel, including OSV and GitHub Advisory Database, and returns a recommendation ranging from "block" for critical vulnerabilities to "allow" when no known issues are found. Deptrust integrates with AI agents like Codex and Claude Code via MCP servers or CLI skills to automatically prevent agents from installing vulnerable package versions before they execute install or update commands.
GitHub 3 months ago 44
Eve is a filesystem-first framework for building AI agents where core capabilities are organized in conventional directory structures to simplify inspection and extension. A new agent is created with `npx eve@latest init my-agent`, which generates a project scaffold with folders for instructions, tools, skills, channels, and schedules. The framework allows developers to define agent behavior through markdown files and TypeScript functions stored directly in the filesystem rather than through configuration APIs.
Product Hunt 3 months ago 50
Busabase launched a general-purpose database and workspace for business records, docs, skills, and apps that AI agents can build on. It supports 3 deployment options: Cloud, Personal Desktop, and self-hosting. This centralizes data and change history so connected tools like Claude Code and Codex can reuse the same shared base for the next task.
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TLDRocket
22 October 2026
The biggest thread today is agents moving from novelty to infrastructure—then immediately colliding with the messy parts of access control, speed, and governance. 1Password launched 1Password for Agents, letting authorized AI agents sign into personal accounts without ever seeing your password, which is a practical answer to a problem every enterprise AI rollout discovers the hard way. OpenAI pushed the same “decision layer” forward with its Decisions API decision model, now widely available, targeting 100–180 milliseconds latency—fast enough to slot into workflows that can’t wait for an entire chat model to think. And the plumbing around all of this continues to get standardized: the Agentic AI Foundation received the Agent Skills open standard, with more than 70 agent platforms integrating since December 2025, totaling nearly 280 million installations and 1 million published skills.
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