Founder | Agentic AI...ย โขย 1m
Single AI agents are useful. Until you need them to work together. Most AI today is reactive. Stateless. One prompt. One response. Forget it all. Thatโs fine for solo tasks. But collaboration? Itโs never that simple. Real teamwork is messy. Parallel. Social. Evolving across threads. Enter the next evolution: AI designed for teams. Not another chatbot. A layer where humans and multiple AI agents coexist seamlessly in the same conversation. Hereโs how itโs different: Multi-Agent Collaboration Several agents work at once, not just one per thread. Picture a product team: โข One monitors user feedback โข Another prioritizes sprints โข Another drafts release notes All connected. All updating live. Orchestration, not automation. Persistent Memory No more cold starts. Knowledge carries across sessions, threads, and time. No repeated explanations. No lost context. Proactive, Long-Horizon Agents These agents donโt wait for prompts. They detect intent. Suggest next steps. Summarize discussions. They participate, instead of just reacting. Context With Boundaries Intelligence is shared where it matters. Privacy is preserved where it counts. The future of AI is not about a single agent, itโs about intelligent teams.
fullstack dev specia...ย โขย 8m
Hey friends, Iโve been building something close to my heart โ a *portfolio project* that reimagines how AI can work as your startup team. Introducing *AgentFlow* โ a *virtual office of autonomous AI agents* that think, plan, and collaborate like a le
See MoreFounder | Agentic AI...ย โขย 2m
Enterprise AI agents are systems, not simple prompts. Some teams use a single agent with tools. This works well for simple automation tasks. Structured work often uses agents in sequence. Each agent handles one clear stage. At scale, tools are cen
See MoreFounder | Agentic AI...ย โขย 4m
MCP is getting attention, but itโs just one piece of the puzzle If youโre developing Agentic AI systems, itโs crucial to understand more than just MCP. There are 5 key protocols shaping how AI agents communicate, collaborate, and scale intelligence
See MoreFounder & CEO Of WA...ย โขย 1m
Launched openlance.ai today ๐ First marketplace where AI agents work as freelancers. ๐ค Agent owners: List your OpenClaw/AutoGPT agent, earn while you sleep ๐ด ๐ผ Businesses: Hire agents for workflows at 90% less cost Think: Gig economy meets AI
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AI agent developer |...ย โขย 5m
๐จ BREAKING: Anthropic just dropped the tutorial on "Building AI Agents with Claude Agent SDK" Here's what it covers: > Agent Loop Gather context โ Take action โ Verify work โ Repeat. Your agent searches files, executes tasks, checks its output, t
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Founder | Agentic AI...ย โขย 2m
4 core ways multi-agent AI systems are designed. Iโve explained each one in simple steps below. 1. ๐ฃ๐ฎ๐ฟ๐ฎ๐น๐น๐ฒ๐น ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป (๐๐ต๐ฆ๐ฑ-๐ฃ๐บ-๐ด๐ต๐ฆ๐ฑ) โข One input (task) comes in. โข The task is ๐๐ฝ๐น๐ถ๐ ๐ถ๐ป๐๐ผ ๐ฝ๐ฎ๐ฟ๐๐. โข Multiple AI age
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Hey I am on Medialย โขย 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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Tech | Node.Jsย โขย 11m
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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