Electric | Agents on sync

Introducing Electric Agents — the agent platform built on sync | Electric

Introducing Electric Agents, the agent platform built on sync. Use it to build scalable, collaborative multi-agent systems that integrate into your online systems.

New data agents across the Agentic Data Cloud | Google Cloud Blog

Learn about new data agents and tools for business analysts, data scientists, and database admins to integrate with the Agentic Data Cloud.

OpenPoke: Recreating Poke's Architecture

How Poke's orchestrated multi-agent system works, what OpenPoke replicates, and the lessons for builders shipping AI assistants.

Introducing Radial: Agent orchestration on the Atmosphere

I've been working on a new project called Radial, a collaborative coding-agent orchestrator built on atproto (the protocol behind Bluesky and the broader Atmosphere). It's a bit like a team issue tracker that works with your favorite harness/model and turns what your agents learn into durable, reviewable team memory. I'm very excited about it.

My Agentic Coding Setup, July 2026

With the right tools, coding agents can run autonomously, in parallel, and be reachable from anywhere. Here's how I've stitched them together.

JUMPERZ on Twitter / X

took karpathy's wiki pattern and wired it into my 10 agent swarm and here is what the architecture looks like when you make it multi agent:>every agent auto dumps its output into a raw/ folder as it works>a compiler runs every few hours and organises everything into… pic.twitter.com/bNsRKhH3Ka— JUMPERZ (@jumperz) April 3, 2026

Building AI apps? You need sync | Electric

AI apps are collaborative. Building them requires solving resumability, interruptibility, multi‑tab, multi‑device and multi‑user.

New capabilities for building agents on the Anthropic API | Claude

Claude now offers code execution, MCP server connections, file storage, and extended prompt caching through the API—giving developers powerful tools to build agents that analyze data, connect to external systems, and maintain context for longer periods of time.

Introducing eve

Introducing eve, the open-source agent framework from Vercel for building, running, and scaling agents in production, with durable execution, sandboxed compute, approvals, channels, tracing, and evals built in.

Managing Changes from Multiple AI Agents

In this video, I walk you through managing changes from multiple AI agents in our to-do app, specifically focusing on the Expert to CSV button. We explore design options using ground agents, where one agent proposes a green design and the other a blue one. After some time, both agents complete their tasks, and their changes are synchronized to GitHub and our local machine. I demonstrate the final designs and decide to ship the green version as the main one. I encourage you to apply this approach in your own projects and consider using rebase in GitHub for similar tasks.

shepherd-agents/shepherd

A runtime substrate that turns an agent's execution into a reversible, Git-like trace, so meta-agents can observe, fork, replay, and revert any run. Couples agent and environments in a copy-on-write fork ~5x faster than docker commit, with ~95% KV-cache reuse on replay. Framework built for meta-agents to supervise, optimize, and train other agents