Open-source agent that forecasts station temperatures and trades them
OpenThomas is an open-source agent that forecasts weather station temperatures and automatically trades on prediction markets based on those forecasts. It uses LLMs to analyze weather data and execute trades, helping prediction market traders automate weather-based strategies.
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Article explains how LLMs trigger real-world actions despite being next-token predictors
An article published on July 11, 2026, explains how large language models, which are fundamentally next-token predictors, can trigger real-world actions like fetching weather, running calculators, or searching the web. It addresses the common confusion about how a model trained only to predict the next word can perform tasks it has no direct ability to do.
AI agent for simulated stock trading with fake money via MCP
A concept for a platform where users create a simulated stock portfolio with fake money, then connect an AI agent (Claude, Codex, etc.) through MCP to research and place trades. It helps people learn to direct and supervise AI trading agents without risking real money.
ChatGPT Work: persistent AI agent for complex tasks
ChatGPT Work is an OpenAI tool that performs ongoing, complex tasks autonomously, persisting for hours or days. It uses LLMs to plan and execute multi-step workflows, solving the problem of AI agents that stop after a few minutes. Aimed at professionals needing long-running automated assistance.
JobHunter: AI agent for job applications with human approval
JobHunter is an open-source AI agent that automates job applications while requiring human approval before submission. It uses LLMs to generate tailored resumes and cover letters, and to fill out application forms, but pauses for user review to prevent unwanted applications. It solves the problem of repetitive job searching for individuals who want efficiency without losing control over their applications.
AgentMaker: a new Python framework for building LLM agents and multi-agent systems
AgentMaker is a general-purpose Python framework for building LLM agents and multi-agent systems, featuring tools, memory, RAG, context engineering, guardrails, human-in-the-loop, and observability. It is released under MIT license on GitHub and PyPI.