Smart Terminal Assistant A natural language interface that converts English to terminal commands across operating systems. Built with LangGraph's multi-agent system using A2A and MCP protocols for cross-platform execution. Check out the implementation
AGENTS
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AI Agents vs Agentic AI: Architecture and Capabilities Review
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9. AI Agents vs. Agentic AI This review paper distinguishes AI Agents from Agentic AI, presenting a structured taxonomy and comparing their architectures, capabilities, and challenges.
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Nemotron-Research-Tool-N1: LLM Tool-Using with Rule-Based RL
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6. Nemotron-Research-Tool-N1 Introduces Tool-N1, a family of tool-using LLMs trained using a rule-based reinforcement learning (R1-style RL) approach, without reliance on supervised reasoning trajectories.
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Deep Research Agent: Privacy-Focused Open-Source AI Tool
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Deep Research Agent A privacy-focused, open-source AI agent that runs locally to research any topic. Uses LangGraph to power its iterative research workflow. Check out this powerful research tool https://
composio.dev/blog/deep-rese
arch-agent-qwen3-using-langgraph-and-ollama/
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Doctor: Web Crawling Tool for LLM Agents with FastAPI
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Crawl the internet with agents Doctor helps LLM agents crawl and understand web content in real-time, combining web processing, vector search, and LangChain's document handling into a powerful FastAPI-enabled system. Check it out on GitHub https://
github.com/sisig-ai/doctor -
Questioning the Fundamental Definition of AI Agents
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Yeah I don’t think “agents” is used in this way but … it feels a bit wrong. What’s some actual fundamental distinguishing property wrt what already exists? “It happens to use an LLM somewhere” is I think the current usage but imo it’s kind of lame.
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Digital Agents and Intelligent Systems Already Surround Us Daily
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Hmm disagree. Mac OS is a highly intelligent agent with lots of background tasks. Gmail is. X is. Businesses run many on your behalf, eg anytime you swipe a credit card. There’s lots of highly sophisticated, highly intelligent digital entities we use/dispatch all the time.
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AI’s Unique Role: Democratizing Commands to the Technosphere
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It’s a cool analogy but traditional software already satisfies it – there are “worker drones” delivering, filtering and ranking posts/emails etc etc. So imo the analogy is subtle. Eg maybe AI allows a lot more people to issue new diverse commands to the technosphere. Or it’s a
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Should Google AI Studio Include Built-in Coding Agents?
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Should we build coding agents into Google AI Studio?
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Codex Agent Instructions in Repository Configuration
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It’s where you place instructions for the codex agent directly in your repo