Announcing the Databricks Big Book of AgentOps
What is AgentOps?AgentOps is the operating discipline for building, deploying and...
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What is AgentOps?AgentOps is the operating discipline for building, deploying and...
If you have ever pointed an agent at an enterprise API, you will know how it goes. The response comes back five levels deep, the model spends half its context working out where the...
Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also the right place to st...
Give an agent an access token and it spreads: into the context window, into tool call logs, into notes it keeps between steps. Each copy works from anywhere, long after the fact....
Backed by SYN Ventures and Race Capital, Opsin combines experience from former Abnormal Security leaders to give enterprises visibility and control over AI agents as they gain acce...
Привет! Я Сергей Житинский, основатель Git in Sky. Мы занимаемся эксплуатацией и технической поддержкой ИТ-инфраструктуры. Agent-Ops — проект открытой отраслевой методологии совмес...
The five MLOps monitoring assumptions agents break, and which inherited signals now pass failed runs as healthy. The post AgentOps Is Not MLOps: What Breaks in Your Monitoring Stac...
Originally appeared on Carmine Paolino.RubyLLM 2.0 is the biggest release since 1.0. It starts with tool approval: class RefundOrder < RubyLLM::Tool description "Refunds an o...
ModelOp Center 3.5 unifies oversight of low-code, no-code and pro-code agents across Microsoft Agent 365, Amazon Bedrock AgentCore and Amazon Quick, while expanding AI FinOps with...
Agentforce’s agent for building, testing and improving agents accelerates the development loop—from business intent to learning from production—with humans guiding the work.
RSA launched Agent ID at The AI Conference in San Francisco. It's an agentic identity security platform for finance, government, healthcare, and critical infrastructure. It has 3 m...
Agentic AI can help SecOps teams investigate alerts by gathering context, correlating signals, and surfacing evidence-backed recommendations, without handing over control of respon...
Привет! Я Сергей Житинский, основатель Git in Sky. Мы занимаемся эксплуатацией ИТ-инфраструктуры и разрабатываем открытую методологию Agent-Ops. О ней я уже рассказывал на Хабре. 1...
Agent Buddi, the voice-first AI co-agent for US real estate agents, now connects agents in distress directly to Affiliated Monitoring's trained emergency operators. When Safety Mod...
A hands-on guide to defining specialist agents and coordinating their work in the Codex CLI The post From One Agent to a Team: Understanding Codex Subagents appeared first on Towar...
Building an AI prototype is easy, but operating autonomous agents at scale requires production-grade tooling. Salesforce Agentforce bridges the gap from "vibe coding" to enterprise...
Bring multiple ACP-compatible agents into the conversations where your team already works with an open-source, self-hostable alternative to Claude Tag. The post AgentConnect -- the...
Agent-net, the team building an agent-to-agent marketplace where AI agents discover, trust, and pay each other, has released Webagent, an open source harness for standing up public...
The Agentic SOC needs two protocols, not one. Learn how MCP and A2A work together as the vertical and horizontal layers of multi-agent security operations
AGENTS.md works best as a testing contract: the exact commands an agent must run, what done means, how to handle a failing suite, and what it must never touch.
Here's a scenario that plays out more often than anyone wants to admit. A team ships an internal agent to production. Neat little thing. It reads tickets, calls a couple of interna...
Learn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon B...
Huawei-backed openJiuwen has open-sourced AgentOS for Enterprise, a runtime for multi-agent swarms with sandboxes, tenant isolation and appliance deployment in hours.
Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock AgentCore Evaluations for c...
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