KarvyLoop: Agents That Learn How You Decide
KarvyLoop is a local-first, loop-native runtime for a team of AI agents on your machine, designed to learn how you decide — and to prove it by never deciding for you.
All AI Pulse updates tagged "AI agents".
10 signalsKarvyLoop is a local-first, loop-native runtime for a team of AI agents on your machine, designed to learn how you decide — and to prove it by never deciding for you.
A trader let 10 Grok bots run 24/7 automated trading, reaching +$67K PNL. Each bot has a single job: session timing, news filtering, and more — leaving the human just saying yes.
The post highlights gstack for role-based Claude Code setup and claude-flow for coordinating agent swarms to build full apps better.
Walrus Memory gives AI agents portable memory they can carry across sessions, tools, and workflows, instead of locking it to one app, model, or runtime.
Zenzap is pitched as a multiplayer AI platform where people and proactive agents share group chats and automate workflows with context across tools and teams.
Expand released Expand Fetch, a tool that helps AI agents read pages while preserving icons, tables and hidden data; its private test cites 74% on hard web prompts.
A maker says running up to 10 agents at once—debugging, writing pages, refactoring forgotten requests—has become exhausting, with several agents working unclear tasks.
Agents can now approve, price and pay on their own, and companies bear the cost of bad decisions. Harbor proposes a Connect-Measure-Block-Insure flow covering every agent a company runs.
New research suggests dividing labor among self-improving AI agents can prevent them from reinforcing their own errors, an idea linked to open-ended search in metascience.
a16z argues marketplaces monetize browsing, not checkout; agentic AI shopping skips that surface and pressures ad-driven commerce margins.