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This article introduces 'Agent + Skill Store', a local AI agent tool that runs on your machine with a headless browser, sandboxed shell execution, and a plugin system for adding skills without cloud dependencies.
Agent Mini is a minimal, open-source AI agent written in ~3k lines of Python that prioritizes readability and local-first operation using Ollama, offering practical tools while avoiding heavy frameworks.
OpenAI Codex is now free, but even more surprising is that local open-source models can achieve AI Agent performance close to the cloud, demonstrating scenarios like fixing games and developing web games without requiring API keys or internet.
Jack Dorsey built and open-sourced Goose, a comprehensive local AI agent that autonomously performs development tasks like installing dependencies, running code, testing, and deploying. Donated to the Linux Foundation, it supports multiple LLMs and includes features like parallel subagents, MCP extensions, and adversary mode.
A developer built a local autonomous coding agent using Ollama, combining a fine-tuned personality model (Eve) for conversation and MiniMax M3 for heavy lifting, achieving a 40-round agentic loop with 16 tools and 9/9 tests passing first try.