Founder | Agentic AI...ย โขย 1m
If youโre building AI agents today, hereโs the reality: Calling an LLM isnโt enough anymore. Modern agents need a full system, a framework of interconnected components that help them think, reason, act, adapt, and collaborate autonomously. Here are the 10 ๐ณ๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฒ๐น๐ฒ๐บ๐ฒ๐ป๐๐ ๐ฒ๐๐ฒ๐ฟ๐ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ ๐ป๐ฒ๐ฒ๐ฑ๐: 1. ๐ก๐ฎ๐๐๐ฟ๐ฎ๐น ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น (๐๐๐ ) The core engine for understanding and generating language. Models like GPT-4, Claude, and Gemini power communication and reasoning. 2. ๐ ๐ฒ๐บ๐ผ๐ฟ๐ ๐ฆ๐๐๐๐ฒ๐บ (๐ฆ๐ต๐ผ๐ฟ๐-๐ง๐ฒ๐ฟ๐บ + ๐ฃ๐ฒ๐ฟ๐๐ถ๐๐๐ฒ๐ป๐) Agents must remember context across tasks and sessions. Frameworks like LangChain Memory, Weaviate, and Chroma handle this. 3. ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐๐ฎ๐๐ฒ / ๐ฉ๐ฒ๐ฐ๐๐ผ๐ฟ ๐ฆ๐๐ผ๐ฟ๐ฒ Provides structured facts, documents, and domain intelligence. Popular options: Pinecone, Redis, Milvus. 4. ๐ฃ๐น๐ฎ๐ป๐ป๐ถ๐ป๐ด & ๐ง๐ฎ๐๐ธ ๐๐ฟ๐ฒ๐ฎ๐ธ๐ฑ๐ผ๐๐ป Turns large objectives into manageable steps. Tools like CrewAI and MetaGPT automate multi-step reasoning. 5. ๐ง๐ผ๐ผ๐น ๐จ๐๐ฒ & ๐๐ฃ๐ ๐๐ฐ๐ฐ๐ฒ๐๐ Allows the agent to perform real work โ not just talk. OpenAI Function Calling, AutoGen, and ReAct enable this. 6. ๐๐ ๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป & ๐๐ฐ๐๐ถ๐ผ๐ป ๐๐ผ๐ผ๐ฝ Carries out tasks, evaluates outcomes, and loops until completion. Patterns like BabyAGI and Agent Looping make this possible. 7. ๐ฅ๐ฒ๐ฎ๐๐ผ๐ป๐ถ๐ป๐ด ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ๐ Determines the best next move using structured thinking. Methods include Chain-of-Thought, ToT, and self-reflection. 8. ๐๐๐ฎ๐ฟ๐ฑ๐ฟ๐ฎ๐ถ๐น๐ & ๐ฆ๐ฎ๐ณ๐ฒ๐๐ ๐๐ผ๐ป๐๐ฟ๐ผ๐น๐ Prevents harmful, incorrect, or unintended behavior. GuardrailsAI, moderation APIs, and policy layers handle this. 9. ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด, ๐๐ผ๐ด๐ด๐ถ๐ป๐ด & ๐๐ฒ๐ฒ๐ฑ๐ฏ๐ฎ๐ฐ๐ธ Tracks performance, errors, and improvements over time. Helicone, Weights & Biases, and observability stacks help here. 10. ๐ ๐๐น๐๐ถ-๐๐ด๐ฒ๐ป๐ ๐๐ผ๐ผ๐ฟ๐ฑ๐ถ๐ป๐ฎ๐๐ถ๐ผ๐ป For complex workflows, multiple agents need to cooperate. Systems like AgentVerse and CrewAI enable specialization and teamwork. Powerful AI agents are a coordinated ecosystem of memory, reasoning, tooling, and automation working together. Share it so others can learn about AI and benefitย fromย this.
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AI Agents now have muscle memory. This Python SDK records agent tool-calling patterns, replays them for repeated tasks, and falls back to agent mode for edge cases. 100% Opensource. Read more here: https://www.theunwindai.com/p/muscle-memory-for-a
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Everyone wants to build AI agents these days. But very few actually understand what sits beneath the surface. Hereโs the part most people ignore: AI agents are mostly software engineering - about 95%. The โAIโ part is just the remaining 5%. All the
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๐ง ๐ป Say Hello to Google's Agent Development Kit (ADK)! ๐ 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. ๐น
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