Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
AGENTS
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100+ Free Step-by-Step AI Agents and RAG Systems Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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VibeKit: Secure Sandbox for Running AI Coding Agents
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Run Gemini CLI, Codex, Grok and Claude Code in a secure sandboxes. VibeKit lets you run AI coding agents in Docker containers with secret redaction and real-time observability baked in. 100% offline, local, and Opensource.
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AI Memory Evolution: Beyond Personalization to Co-Memory Systems
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Talking about AI memory as just good personalization totally misses the bigger picture. It's actually becoming co-memory, remembering the world with you, saving your random ideas, even proactively reminding or resurfacing things. It's so much more than tailored answers
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100+ Free Open Source AI Agents and RAG Tutorials
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Stay tuned for more such interesting posts → @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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AI Agents Now Debug Code with Chrome DevTools MCP
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AI Agents can now see and test the code they generated.
— Shubham Saboo (@Saboo_Shubham_) 3 octobre 2025
Chrome DevTools MCP gives AI agents live Chrome instances to analyze performance traces, inspect DOM, and debug issues in real-time.
Works with Cursor, Gemini CLI, Claude Code and more.
100% Opensource. pic.twitter.com/W8dRY98bCSAI Agents can now see and test the code they generated. Chrome DevTools MCP gives AI agents live Chrome instances to analyze performance traces, inspect DOM, and debug issues in real-time. Works with Cursor, Gemini CLI, Claude Code and more. 100% Opensource.
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LLM Code Generation and Agent Classification Discussion
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Yeah one more person pointed out already. I'd say it falls under "agent" because an LLM is still giving you a large chunk of code that you're slotting in.
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GLM-4.6 Agentic Model Drives GPU Investment Demand
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this is why we Buy GPUs GLM-4.6 is a KINO Agentic model daily driver within Claude Code
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BroRL: Scaling Reinforcement Learning Through Broadened Exploration
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BroRL Scaling Reinforcement Learning via Broadened Exploration
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Flash-Searcher: Fast Web Agents with DAG-Based Parallel Execution
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Flash-Searcher Fast and Effective Web Agents via DAG-Based Parallel Execution