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Rahul Agarwal
Founder | Agentic AI...ย โขย 3m
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.
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