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Baqer Ali

AI agent developer |... • 2m

🚨 BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context → Take action → Verify work → Repeat. Your agent searches files, executes tasks, checks its output, then iterates until done. > File System = Memory Folders become context. Agents use bash (grep, tail) to search files, store conversations, pull relevant data. No complex RAG needed. > Parallel Subagents Need to search 1000 documents? Spin up multiple agents working simultaneously. Each has isolated context, returns only what matters. > Auto-Compaction Running for hours? SDK automatically summarizes old messages when context fills up. Your agent never runs out of memory. > Built-in Integrations Connect Slack, GitHub, Drive via MCP. Run bash commands. Generate code. Create Excel files. If you can do it in a terminal, your agent can too.

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Kimiko

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Dan Sukhov

@den_point • 1m

Sharing a selection of AI courses I've mastered some of them, and others are in the backlog. HuggingFace Agent Course - https://huggingface.co/learn/agents-course/en/unit0/introduction MCP with Anthropic - https://www.deeplearning.ai/short-course

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Aparna Pradhan

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Hey friends, I’ve been building something close to my heart — a *portfolio project* that reimagines how AI can work as your startup team. Introducing *AgentFlow* — a *virtual office of autonomous AI agents* that think, plan, and collaborate like a le

The next billionaire

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Greg Isenberg just shared 23 MCP STARTUP IDEAS TO BUILD IN 2025 (ai agents/ai/mcp ideas) and its amazing: "1. PostMortemGuy – when your app breaks (bug, outage), MCP agent traces every log, commit, and Slack message. Full incident report in seconds.

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Anonymous

Hey I am on Medial • 1y

Microsoft has launched a new piece of open source infrastructure which allows users to direct multiple AI agents to work together to complete user tasks. Magentic-One (a play on Microsoft and Agentic) employs a multi-agent architecture where a lead

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Mahesh Morem

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The Missing Piece in AI Agent Ecosystems: An Agent Search Engine & Centralized Registry The A2A (Agent2Agent) protocol, introduced by Google Cloud, is a significant step forward. It standardizes how agents communicate, enabling them to securely exch

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Rahul Agarwal

Founder | Agentic AI... • 8d

Hands down the simplest explanation of AI agents using LLMs, memory, and tools. A user sends an input → the system (agent) builds a prompt and may call tools and memory-search (RAG) → agent decides and builds an answer → the answer is returned to th

Chetan Sable

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🧠💻 Say Hello to Google's Agent Development Kit (ADK)! 🚀 Unveiled at Google Cloud Next '25, the Agent Development Kit (ADK) is an open-source framework designed to simplify the creation of intelligent, modular, and production-ready AI agents. 🔹

Comet

#freelancer • 4m

LLMs as Agents Large Language Models (LLMs) like *GPT*, *Claude*, or *Gemini* can act as intelligent. *What does it mean to be an agent?* An *LLM agent* can: • Understand a goal • Break it into steps • Use tools or APIs • Adapt based on c