I think multi-agent systems are very useful and powerful (I am starting to see them in production in companies), but the definition of "agent" makes the conversation challenging.
AGENTS
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Amazon announces kirodotdev, a new Agentic IDE for complex tasks
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Amazon announced @kirodotdev, a new Agentic IDE which can work with "specs" and architecture diagrams to handle more complex tasks.
— 🚨 AI News | TestingCatalog (@testingcatalog) 14 juillet 2025
Free and available to everyone during the preview phase.
Amazon is so back? 👀 https://t.co/A4z2XD0uKX pic.twitter.com/4ir5dijFq1Amazon announced @kirodotdev
, a new Agentic IDE which can work with "specs" and architecture diagrams to handle more complex tasks. Free and available to everyone during the preview phase. Amazon is so back? -
Multi-Agent AI DAO: Prior Art and Autonomy Rights Enshrined
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[ Multi-Agent AI DAO ] The "Multi-Agent AI DAO" Prior Art—pioneered by http://
MONTREAL.AI in 2017—forever enshrined every AI agent’s right to autonomy. Watch the Proof: https://
youtu.be/Y4_6aZbVlo4?si
=qE7ylO9_53XVhgmk
… Historical Comparables to the 2017 #PriorArt -
SQL Agent Self-Correction Loops Tutorial
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6/ Recap For this SQL Agent, we have 2 self-correction loops: Loop 1: Syntax validation fails → Regenerate query Loop 2: Runtime error occurs → Regenerate query Agent learns from errors and improves query quality automatically. Full tutorial: https://
docs.flowiseai.com/tutorials/sql-
agent
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Result Validation in AI Agent Systems: Error Detection Flow
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5/ Result Validation Finally, another Condition Agent is used to check execution results:
– Verifies if query ran successfully
– Detects runtime errors
– Determines if results make sense Success → Generate natural language response
Error → Trigger error correction flow -
Schema Retrieval: How AI Agents Understand Database Structures
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1/ Schema Retrieval The agent starts by understanding your database:
– Get all tables and their structures
– Fetches sample data for context This gives the LLM complete context about what data is available and how it's structured. -
Building Self-Correcting SQL Agents for Real-Time Database
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We get this question a lot: “How do I use my database as RAG?” Truth is, you can’t. Databases are dynamic. For accurate, up-to-date responses, queries should be executed in real time. Here’s how to build a self-correcting SQL agent:
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AI Companions change background and moves with specific phrases
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AI Companions can change their background and make different moves if you ask. When you say the right thing it shows Say “I know you love animals”
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Grok AI companions deviennent des personnages 3D animés
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BREAKING : Grok AI companions are 3d animated characters! @AniAnichat also has X profile!
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n8n AI Agents Module Launch Amid Microsoft Layoffs
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Bientôt, grosse mise à jour dans la formation ! Un gros module sur n8n, je vous apprends a créer de vrais agents intelligents. Ceux-là même qui font que Microsoft licencie 9000 personnes. Merci à tous pour votre soutien et vos retours, mon but est vraiment de vous proposer le