sqlite AGENTS.md
Simon Willison publishes an AGENTS.md file for the SQLite project, a convention for providing AI coding agents with project-specific instructions and context. This follows the emerging practice of including agent-readable documentation files in codebases to guide LLM-based tools. The post reflects the growing ecosystem of conventions around agentic coding workflows.
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datasette-agent 0.1a4
Simon Willison releases datasette-agent 0.1a4, an early alpha of an AI agent plugin for Datasette, the open-source data exploration tool. The release represents ongoing development of agentic tooling that allows LLMs to interact with SQLite databases through the Datasette interface. As an alpha release from a prominent AI tooling developer, it signals continued growth in the agent-tool ecosystem for data querying use cases.
datasette-agent 0.1a3
Simon Willison releases datasette-agent 0.1a3, an early alpha of an AI agent plugin for Datasette, the open-source data exploration tool. The release represents ongoing development of agentic tooling that allows LLMs to interact with SQLite databases through Datasette's interface. As an alpha release from a prominent AI tooling developer, it signals continued growth in the agent-tool ecosystem for data workflows.
Datasette Agent
Simon Willison describes a Datasette Agent, an AI agent built on top of the Datasette data exploration tool. The post appears to demonstrate an agent capable of querying and reasoning over SQLite databases via natural language. This represents a practical deployment of LLM-powered tooling for data analysis workflows.
OpenAI co-founds Agentic AI Foundation, donates AGENTS.md
OpenAI has co-founded the Agentic AI Foundation, a new organization housed under the Linux Foundation, aimed at developing open and interoperable standards for safe agentic AI systems. As part of this initiative, OpenAI is donating AGENTS.md, a specification document, to the foundation. The move signals OpenAI's intent to shape industry-wide norms around agentic AI through open governance structures rather than proprietary control.
AI Agent Guidelines for CS336 at Stanford
Stanford's CS336 (Language Models from Scratch) course has published explicit guidelines for AI agent behavior within its assignment repository, surfacing as a community discussion item on Hacker News. The CLAUDE.md file provides instructions governing how AI coding assistants should interact with course materials, likely addressing academic integrity and appropriate use boundaries. This represents an early example of educational institutions codifying AI agent behavior policies at the course level.
datasette-agent 0.1a2
Simon Willison releases datasette-agent 0.1a2, an early alpha of an AI agent plugin for Datasette, the open-source data exploration tool. The release represents an integration of LLM-based agent capabilities into a widely-used data tooling ecosystem. As an alpha release from a prominent open-source developer, it signals growing momentum in embedding agentic AI into developer data workflows.
Agent-S: Open Agentic Framework for Human-Like Computer Use
Agent-S is an open-source Python framework by Simular AI designed to enable AI agents to interact with computers in a human-like manner. The project has accumulated 11,388 GitHub stars with modest daily growth of 29 stars. It represents an entry in the growing space of computer-use agent frameworks targeting GUI and desktop automation tasks.
datasette-agent 0.1a1
Simon Willison has released datasette-agent 0.1a1, an early alpha of an AI agent plugin for Datasette, the open-source data exploration tool. The release represents an integration of LLM-based agent capabilities into a widely-used data tooling ecosystem. As a 0.1 alpha, this is an initial proof-of-concept rather than a production-ready release.