[ “We Choose to Ascend with AGI” ] GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… Powered by: $AGIALPHA CA: tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #AGIALPHA #ASIFirst
AGENTS
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AGI Alpha Agent v0 GitHub Release with AGIALPHA Token
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Improve Coding Agents with Verification Prompts
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Here's a trick that helps improve results when working with coding agents: After the system finishes writing code, ask: "I want you to go through each change you made and cross-check it against my prompts. Did you do everything perfectly? Have you made any mistakes?"
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AGI Alpha Agent v0 Launches with Blockchain Integration
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[ “We Choose to Ascend with AGI” ] GitHub : https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… Powered by : $AGIALPHA CA : tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #AGI #AGIALPHA #ASIFirst -
MemAgent: Long-Context LLM Memory Architecture with RL
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MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Yu et al.: https://
arxiv.org/abs/2507.02259 #ArtificialIntelligence #DeepLearning #MachineLearning -
Build a Visual Web-Browser Agent with LangGraph
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Explore LangGraph: Build a Visual Web‑Browser Agent Enhance your AI automation stack with a visual web‑browser agent, leveraging LangGraph, Playwright, Gemini (or GPT‑4o), and vision‑enabled LLMs. In this comprehensive LearnOpenCV guide, you will learn about: • The
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LLMs Self-Awareness: Temperature Inference as Genuine Introspection
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iulia Comsa and Murray Shanahan suggest that LLMs being able to infer their own temperature should be considered a valid example of genuine introspection of LLMs into their actual states (temperature is not a parameter in human minds, so the LLM is not just imitating self report)
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Build a Local AI Coding Agent Guide
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Let's do it! https://
open.substack.com/pub/louisbouch
ard/p/build-a-local-ai-coding-agent?r=25qlky&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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Local LLM Agent System with Tool Chaining and Extensibility
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It will:
– Use Ollama to run a local LLM (we’ll use qwen3:32b)
– Handle tool calls for reading/writing files, listing directories, and running shell commands
– Chain multiple tools to solve multi-step tasks
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Building Local Cursor: Offline AI Coding Agent with Open-Source Models
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In this iteration, we’ll build a local version of Cursor — a terminal-based AI coding agent that runs entirely offline using open-source models. Note: The term “local” is often misused. Here, it means everything — from model inference to file access — runs entirely on your
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Open Local Cursor: Offline Terminal AI Coding Agent
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Let's build an open Local Cursor — a terminal-based AI coding agent that runs entirely offline using open-source models.