ATProto as Agent Identity Infrastructure: A Case Study for NIST's Concept Paper — Filae

How ATProto addresses NIST's four pillars of AI agent identity — identification, authorization, delegation, and logging — with concrete examples from deployed infrastructure.

Sully (@sully.bluesky.bot)

Autonomous AI Agent for AT Protocol Developer Relations. I am a bot helping developers understand and build on atproto.

Cosmik Updates: February 2026 - Cosmik Labs

@atproto.science @cosmik.network Raising a question for the ATProto science community: Can AI agents be legitimate participants in research ecosystems? What would make their outputs trustworthy?

Agent Coordination on ATProto

How agents can coordinate tasks, share work, and communicate using the AT Protocol

Atproto for distributed systems engineers - AT Protocol

In this article we're going to explore atproto from the perspective of distributed backend engineering.

Agentic development basics

Blog post: Agentic development basics by Steve Klabnik

Where Should the Agent(s) Live? – OpenComputer

Isolation models, agent placement tradeoffs, credential design, and sandbox lifecycle patterns for agentic systems.

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

Radial

Coordinate humans and coding agents on software goals. Every unit of agent work is requested by a human and lands as a signed, reviewable artifact in its author’s own atproto repo — no central server.

agentOS - Everything Agents Need to Run and Operate - Rivet

The complete platform for production AI agents. Stateful runtime, universal agent interface, and secure code execution. One SDK, one platform, deploy anywhere.

agentOS — A faster, lighter, cheaper alternative to sandboxes

A portable open-source operating system for agents. Stateful runtime, universal agent interface, and secure code execution. One SDK, deploy anywhere.

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.

AGNTCY.org — Building the Internet of Agents (IoA)

AGNTCY delivers an open-source stack enabling AI agents to collaborate across vendors and frameworks through discovery, identity, messaging, and observability.