Back
Rahul Agarwal
Founder | Agentic AI...ย โขย 4m
How Multi-Agent AI systems actually work? Explained in a very simple way. Read below: -> ๐ง๐ต๐ฒ ๐ ๐ฎ๐ถ๐ป ๐๐ ๐๐ด๐ฒ๐ป๐ The main ๐๐ ๐๐ด๐ฒ๐ป๐ is the ๐ผ๐ฟ๐ฐ๐ต๐ฒ๐๐๐ฟ๐ฎ๐๐ผ๐ฟ. It has several capabilities: โข ๐๐ฎ๐๐ฎ๐ฏ๐ฎ๐๐ฒ โ Stores knowledge or past responses. โข ๐๐ฒ๐ฒ๐ฑ๐ฏ๐ฎ๐ฐ๐ธ โ Learns from results and user interactions. โข ๐ฃ๐น๐ฎ๐ป๐ป๐ถ๐ป๐ด โ Breaks down the query into smaller tasks. โข ๐ ๐ฒ๐บ๐ผ๐ฟ๐ โ Remembers past interactions, results, and context. โข ๐ฅ๐ฒ๐ฎ๐๐ผ๐ป๐ถ๐ป๐ด โ Makes logical decisions about what steps to take. โข ๐ง๐ผ๐ผ๐น๐ โ Connects to external APIs, functions, or services when needed. This agent delegates tasks to ๐๐ด๐ฒ๐ป๐ 1 and ๐๐ด๐ฒ๐ป๐ 2. -> ๐๐ด๐ฒ๐ป๐ 1 โข Connected to an ๐ ๐๐ฃ ๐ฆ๐ฒ๐ฟ๐๐ฒ๐ฟ โ a vector database that allows it to ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐๐ต๐ฟ๐ผ๐๐ด๐ต ๐๐๐ผ๐ฟ๐ฒ๐ฑ ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ efficiently. โข Has its own ๐ ๐ฒ๐บ๐ผ๐ฟ๐ (for context/history). โข Has ๐ฃ๐น๐ฎ๐ป๐ป๐ถ๐ป๐ด ability (to decide what to fetch or compute). Think of ๐๐ด๐ฒ๐ป๐ 1 as the ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐ฟ๐ฒ๐๐ฟ๐ถ๐ฒ๐๐ฒ๐ฟ + ๐ฝ๐น๐ฎ๐ป๐ป๐ฒ๐ฟ. -> ๐๐ด๐ฒ๐ป๐ 2 โข Connected to an ๐ ๐๐ฃ ๐ฆ๐ฒ๐ฟ๐๐ฒ๐ฟ (๐ฆ๐ฒ๐ฎ๐ฟ๐ฐ๐ต) โ this one interacts with ๐ฒ๐ ๐๐ฒ๐ฟ๐ป๐ฎ๐น ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ ๐ผ๐ฟ ๐๐ฒ๐ป๐๐ผ๐ฟ๐ ๐ฑ๐ฎ๐๐ฎ (real-time info). โข Has ๐ ๐ฒ๐บ๐ผ๐ฟ๐ (to keep track of what it found). โข Has ๐ฆ๐ฒ๐ป๐๐ผ๐ฟ๐ ๐๐ฎ๐๐ฎ (ability to process information from outside sources like live search, signals, or real-world sensors). Think of ๐๐ด๐ฒ๐ป๐ 2 as the ๐ฟ๐ฒ๐ฎ๐น-๐๐ถ๐บ๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต + ๐ฒ๐ ๐๐ฒ๐ฟ๐ป๐ฎ๐น ๐ฑ๐ฎ๐๐ฎ ๐๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น๐ถ๐๐. ๐๐ผ๐ ๐ง๐ต๐ฒ๐ ๐ช๐ผ๐ฟ๐ธ ๐ง๐ผ๐ด๐ฒ๐๐ต๐ฒ๐ฟ 1. The ๐ค๐๐ฒ๐ฟ๐ is received by the main ๐๐ ๐๐ด๐ฒ๐ป๐. 2. It decides: โข If the query needs ๐๐๐ผ๐ฟ๐ฒ๐ฑ ๐ธ๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ โ it asks ๐๐ด๐ฒ๐ป๐ 1 (๐ฉ๐ฒ๐ฐ๐๐ผ๐ฟ ๐ฑ๐ฏ). โข If the query needs ๐ฟ๐ฒ๐ฎ๐น-๐๐ถ๐บ๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต/๐๐ฒ๐ป๐๐ผ๐ฟ๐ ๐ถ๐ป๐ณ๐ผ โ it asks ๐๐ด๐ฒ๐ป๐ 2 (๐ฆ๐ฒ๐ฎ๐ฟ๐ฐ๐ต). 3. Both agents send their processed information back to the main agent. 4. The ๐บ๐ฎ๐ถ๐ป ๐ฎ๐ด๐ฒ๐ป๐ ๐ฟ๐ฒ๐ฎ๐๐ผ๐ป๐, ๐ฝ๐น๐ฎ๐ป๐, ๐ฎ๐ป๐ฑ ๐ฐ๐ผ๐บ๐ฏ๐ถ๐ป๐ฒ๐ ๐ฟ๐ฒ๐๐๐น๐๐. 5. The system generates the ๐ณ๐ถ๐ป๐ฎ๐น ๐ข๐๐๐ฝ๐๐ for the user. โ In short: You ask โ Main AI Agent plans โ Specialist AI Agents fetch/process info โ Main AI Agent reasons & combines โ You get the result. โ Repost with others in your network who want to understand this.
More like this
Recommendations from Medial
Rahul Agarwal
Founder | Agentic AI...ย โขย 18d
Most people even today don't know this about MCP. I've explained it in simple way below. AI systems fail because control logic lives inside prompts. MCP moves that control outside the model, where it belongs. 1. ๐๐ถ๐ฟ๐ฒ๐ฐ๐ ๐๐ฃ๐ ๐ช๐ฟ๐ฎ๐ฝ๐ฝ๐ฒ๐ฟ
See More
Rahul Agarwal
Founder | Agentic AI...ย โขย 1m
Hands down the simplest explanation of AI agents using LLMs, memory, and tools. A user sends an input โ the system (agent) builds a prompt and may call tools and memory-search (RAG) โ agent decides and builds an answer โ the answer is returned to th
See More
Rahul Agarwal
Founder | Agentic AI...ย โขย 1m
2 main frameworks powering todayโs AI workflows. Iโve explained both in simple steps below. ๐ก๐ด๐ก (๐๐ถ๐ป๐ฒ๐ฎ๐ฟ ๐๐ด๐ฒ๐ป๐ ๐๐น๐ผ๐) (๐ด๐ต๐ฆ๐ฑ-๐ฃ๐บ-๐ด๐ต๐ฆ๐ฑ) N8N lets AI follow a ๐๐๐ฟ๐ฎ๐ถ๐ด๐ต๐, ๐๐ถ๐๐๐ฎ๐น ๐๐ผ๐ฟ๐ธ๐ณ๐น๐ผ๐, moving step-by-step
See More
Rahul Agarwal
Founder | Agentic AI...ย โขย 5d
Most non-tech people learning AI donโt get this. I've explained it in a simple way below. 1. ๐จ๐๐ฒ๐ฟ Everything starts with the ๐จ๐๐ฒ๐ฟ. โข The user wants something done โข Example: โ๐๐ช๐ฏ๐ฅ ๐ต๐ฉ๐ฆ ๐ฃ๐ฆ๐ด๐ต ๐ญ๐ข๐ฑ๐ต๐ฐ๐ฑ ๐ถ๐ฏ๐ฅ๐ฆ๐ณ $1000โ or โ๐๐ณ๏ฟฝ
See More
Rahul Agarwal
Founder | Agentic AI...ย โขย 4m
6 design patterns used in AI agents. I've broken down each in simple steps. 1. ๐ฆ๐ฒ๐พ๐๐ฒ๐ป๐๐ถ๐ฎ๐น (๐๐น๐๐ฒ) โข ๐๐ผ๐ ๐ถ๐ ๐๐ผ๐ฟ๐ธ๐: The query moves through agents one after the other. โข ๐๐ ๐ฎ๐บ๐ฝ๐น๐ฒ: You ask a question โ First agent processe
See More
Rahul Agarwal
Founder | Agentic AI...ย โขย 2m
12 MCP servers every person should know. I've explained each one in a simple way. 1. ๐๐ถ๐น๐ฒ ๐ฆ๐๐๐๐ฒ๐บ ๐ฆ๐ฒ๐ฟ๐๐ฒ๐ฟ โข Gives AI access to your local files. โข It can ๐ฟ๐ฒ๐ฎ๐ฑ, ๐๐ฟ๐ถ๐๐ฒ, ๐ฎ๐ป๐ฑ ๐ฐ๐ฟ๐ฒ๐ฎ๐๐ฒ files on your computer (under safe per
See More
Rahul Agarwal
Founder | Agentic AI...ย โขย 10d
Most people overlook these basics of AI Agents. I've explained it in a very simple way below. 1. ๐๐ ๐๐ด๐ฒ๐ป๐ An AI system that observes its environment, information, makes decisions, and takes actions to achieve a goal. 2. ๐๐๐ ๐ (๐๐ฎ๐ฟ๐ด๐ฒ
See More
Rahul Agarwal
Founder | Agentic AI...ย โขย 15d
Most people building modern AI systems miss these steps. I've explained each step in a simple way below. 1. ๐ ๐๐น๐๐ถ-๐๐ด๐ฒ๐ป๐ ๐๐ป๐๐ฒ๐ฟ๐ผ๐ฝ๐ฒ๐ฟ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ How multiple AI agents work together as a system. Step-by-step: โข ๐จ๐๐ฒ๐ฟ ๐ฅ๐ฒ๐พ๐๏ฟฝ
See More
Rahul Agarwal
Founder | Agentic AI...ย โขย 20d
4 ways how AI systems communicate and coordinate. I've explained each one in detail below. 1. ๐ ๐๐ฃ (๐ ๐ผ๐ฑ๐ฒ๐น ๐๐ผ๐ป๐๐ฒ๐ ๐ ๐ฃ๐ฟ๐ผ๐๐ผ๐ฐ๐ผ๐น) โข User submits a request: โSummarize todayโs Slack messages.โ โข MCP Client receives input: Interface b
See More
Mahesh Morem
Tech | Node.Jsย โขย 9m
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
See More
Download the medial app to read full posts, comements and news.