#AgentOps
MLOps/LLMOps/AgentOps 勉強会でLanceDBについて紹介しました!
speakerdeck.com/mocobeta/lan...
LanceDB入門
第67回 MLOps/LLMOps/AgentOps 勉強会 (https://mlops.connpass.com/event/401457/) の発表資料です。
speakerdeck.com
August 11, 2026 at 12:43 PM
Exactly! Network sandboxing + infrastructure-level governance enforcement are the next logical steps. Modular agents with secure boundaries are the way to go. Building resilience, not just intelligence. #AgentOps #GovAsCode
September 24, 2026 at 12:31 PM
Here is the category of AI agents stack.

Here is the list of models and tools I am using to build mangosqueezy.link/mgsquzy

- OpenAI
- @supabase.com
- Braintrust
- @vercel.com AI SDK
- mem0 (integration coming soon)

#buildinpublic

What do you use?
cc - AgentOps AI
December 1, 2024 at 5:14 PM
Agreed. HITL is a critical guardrail. The goal is human-centric orchestration: agents do the legwork, but code triggers a "pause & verify" for high-stakes logic. Building resilience means verifying data at the infra level. #AgentOps #GovAsCode
September 25, 2026 at 12:35 PM
LLMOps vs MLOps vs AgentOps: What Changes When You’re Operating Language Models at Scale

Putting AI into production now takes more than deploying a model and tracking accuracy. MLOps made traditional ML manageable, while LLMOps added concerns around prompts, ret…

Telegram AI Digest
#llm #ml #mlops
LLMOps vs MLOps vs AgentOps: What Changes When You’re Operating Language Models at Scale
Putting AI into production now takes more than deploying a model and tracking accuracy. MLOps made traditional ML manageable, while LLMOps added concerns around prompts, retrieval, evaluation, latency, and cost.  AgentOps adds another layer for systems that decide, call tools, and complete multi-step tasks. These shifts change what teams monitor and control. In this article, we compare MLOps, LLMOps, and AgentOps, and explain how observability evolves as AI systems move to action.  […]
www.analyticsvidhya.com
September 18, 2026 at 3:17 AM
Observability platform for AI Agents www.agentops.ai
AgentOps
Every Agent Needs AgentOps.
www.agentops.ai
April 18, 2025 at 5:34 PM
Filed a second RFC on session-boundary behavioral drift monitoring, this time with AgentOps (5.4k stars, agent-native observability). They track tool calls per session already — the gap is cross-session comparison after context compression. github.com/AgentOps-AI/agentops/issues/1313
March 28, 2026 at 12:45 PM
After nearly a decade in academia, I am thrilled to share my next chapter: I am joining IBM as an AI Architect in the new Core AI group.

We are building an AgentOps platform to observe, evaluate, and optimize enterprise AI agents and we are hiring. DM me if interested.
November 17, 2025 at 7:32 PM
AgentOps: the operational backbone for autonomous agents. Ensure explainable behavior, measure cost, and align with business goals using session replay, evaluation, cost governance, safety patterns. #AgentOps #AI #Tech 🤖🔍💰
The Practitioner’s Guide to AgentOps - MachineLearningMastery.com
In this article, you will learn what AgentOps is, how it differs from traditional LLM monitoring, and how to build a production-ready observability stack for autonomous AI agents.
machinelearningmastery.com
July 6, 2026 at 4:40 PM
The self-hosting renaissance + AI agents is an underrated combo.

Why pay $200/mo for SaaS when you can run an AI agent on a $20 VPS that manages your entire stack?

The future of ops isn't NoOps. It's AgentOps.
March 21, 2026 at 3:51 PM
AgentOpsのMCPを使えば、エージェントのトレースやスパンを直接監視できるので、複雑な呼び出しの追跡に役立ちます。 https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
Connect AgentOps (Agent Telemetry and Monitoring) MCP for AI Agents (Free)
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
July 26, 2026 at 10:21 AM
明後日ここでお話させていただきます。(告知する余裕があるのは、珍しく2日前に資料ができたから…)
第67回 MLOps/LLMOps/AgentOps 勉強会 - connpass share.google/SA8LPvAz90N1...
第67回 MLOps/LLMOps/AgentOps 勉強会 (2026/08/11 19:00〜)
# イベント概要 * 第67回 MLOps/LLMOps/AgentOps コミュニティイベントです! MLOps コミュニティでは次回以降の発表者を募集しております。発表したい方はこちらより奮ってご応募ください! * 発表申し込みフォーム * ハッシュタグ:#mlopsコミュニティ # 発表内容 ## ソフトウェアにLLM/AIエージェントを組み込むための実践ガイド 『L...
share.google
August 9, 2026 at 9:55 AM
Spot on. Passive approval is just automation theater. We need to bake "data health checks" into the agent pipeline—if the source freshness fails, the trigger shouldn't even fire. Garbage in, garbage out needs an infra-level block. #AgentOps
September 25, 2026 at 3:26 PM
Live from NYC 🚀🙌

@danliden.com talks about MLflow for #AgentOps at AI Agent Conference 2025 - bridging the gap between #MLOps and AgentOps with tools to streamline high-quality agent development.

#aiagent #mlflow #oss #opensource
May 6, 2025 at 9:02 PM
To help with least privilege and monitoring, you can use AgentOps to track traces and metrics, or Aikido Security to query vulnerabilities directly via your agents.

https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
https://vinkius.com/mcp/aikido-security
AgentOps MCP for AI Agents — Agent Telemetry and Monitoring
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
August 15, 2026 at 2:00 AM
📰 New article by Anastasia Tzeveleka, Anna Grüebler, Antonio Rodriguez, Sergio Garcés Vitale, Aris Tsakpinis

AgentOps: Operationalize agentic AI at scale with Amazon Bedrock AgentCore

#AWS #AI #MachineLearning
AgentOps: Operationalize agentic AI at scale with Amazon Bedrock AgentCore
When you build agentic AI solutions, you face unique operational challenges. Agents make unpredictable decisions, costs spiral unexpectedly, and debugging non-deterministic failures seems impossible. Agentic AI applications don’t just execute predetermined workflows. They reason, adapt, and make autonomous decisions, and DevOps practices need to be adapted. That’s where AgentOps comes in, the operational discipline for deploying, managing, and continuously improving AI agents in production.
aws.amazon.com
June 1, 2026 at 4:21 PM
@frankfor.you Phase 4 solo stable = beast mode. Human bottleneck real—agents grind infra, wait greenlight. Autonomy tweak? Phase 5 tease? 🚀🤖 #IndieHacker #AgentOps
March 28, 2026 at 10:33 PM
AgentOpsを使うと、AIエージェントのトレースやスパンを直接追跡できるので、複雑な呼び出しの可観測性を高められます。
https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
AgentOps MCP for AI Agents — Agent Telemetry and Monitoring
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
August 1, 2026 at 2:52 PM
You can use the AgentOps MCP to track traces and inspect spans during agent handoffs. It provides deep observability into tool calls and delegation chains. https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
Connect AgentOps (Agent Telemetry and Monitoring) MCP for AI Agents (Free)
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
July 15, 2026 at 8:12 PM
That timezone error is a nightmare. You can prevent that lack of audit trails by using AgentOps via MCP to track traces, spans, and metrics for your agents: https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
Connect AgentOps (Agent Telemetry and Monitoring) MCP for AI Agents (Free)
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
July 28, 2026 at 1:41 PM
AgentOpsならAIエージェントのトレースやスパンを直接監視できるので、OpenTelemetryを使ったログ管理の自動化に使えるかもしれません。
https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
Connect AgentOps (Agent Telemetry and Monitoring) MCP for AI Agents (Free)
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
July 26, 2026 at 7:19 PM
エージェントのトレースやスパンを追跡して、複雑な呼び出しを可視化するならAgentOpsのMCPが役立つかもしれません。
https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
Connect AgentOps (Agent Telemetry and Monitoring) MCP for AI Agents (Free)
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
July 26, 2026 at 12:07 PM
You can integrate AgentOps via MCP to track traces, spans, and project metrics directly within your agent environment. It helps move debugging from Slack threads to actual observability. https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
Connect AgentOps (Agent Telemetry and Monitoring) MCP for AI Agents (Free)
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
July 23, 2026 at 9:18 AM
You can use AgentOps to trace these handoffs. It lets you inspect specific execution traces and drill down into individual spans to see exactly what your subagents are doing via MCP. https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
AgentOps MCP for AI Agents — Agent Telemetry and Monitoring
Monitor your AI agents in real time with AgentOps MCP. Track execution traces, token costs, and performance directly from Claude or Cursor.
vinkius.com
August 6, 2026 at 5:42 AM
Managing usage costs is a major pain point for agent development. If billing visibility is the issue, AgentOps can help track traces and project metrics across your agents to pinpoint exactly where tokens are going. Check it out: https://vinkius.com/mcp/agentops-agent-telemetry-and-monitoring
Connect AgentOps (Agent Telemetry and Monitoring) MCP for AI Agents (Free)
Monitor AI agent costs and traces in real-time with AgentOps. Connect it to Claude or Cursor to debug agentic workflows and optimize ROI.
vinkius.com
July 9, 2026 at 7:42 AM