
datasette-50e02b62·15 events·first seen Aliases: Datasette
Simon Willison published datasette-agent 0.4a0, an alpha release of an agent harness built around the Datasette data exploration tool. The release is noted on his personal site with minimal detail in the body. Datasette-agent represents ongoing development in the agent-tool ecosystem, connecting LLM-driven agents to structured data querying.
Simon Willison writes about renewed interest in the Model Context Protocol following developments around stateless MCP, and announces two new tools: mcp-explorer and datasette-mcp. The post reflects on how stateless operation changes the practical appeal of MCP for tool integration. This is a practitioner-level signal about MCP adoption patterns and tooling ecosystem growth.
Simon Willison documents an experiment using DSPy to systematically evaluate and improve the SQL system prompts used by Datasette Agent. The post covers applying DSPy's prompt optimization framework to a real-world agentic tool, demonstrating a practical workflow for automated prompt engineering. This is a hands-on practitioner account of using DSPy for prompt evaluation in a production-adjacent context.
Simon Willison published datasette-agent 0.3a0, an alpha release of an agent tooling package for Datasette. The release appears to be a tooling update in the agent/data exploration space. Datasette is an open-source tool for exploring and publishing data, and this agent layer extends it with AI-driven capabilities.
Simon Willison published datasette-agent 0.2a0, an early alpha release of an agent tool built around Datasette. The release is part of the growing ecosystem of AI agent tooling for data exploration and querying. Minimal detail is available from the body, but the versioning indicates active development.
Simon Willison published an early alpha release (0.1a0) of datasette-agent-edit, a new plugin or tool for the Datasette ecosystem. The release appears to add agent-based editing capabilities to Datasette, a tool for exploring and publishing data. As an alpha release, details are sparse but it signals active development at the intersection of AI agents and data tooling.
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.
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.
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.
Simon Willison announces datasette-agent-charts 0.1a1, an early alpha release of a plugin that adds AI agent-driven chart generation capabilities to Datasette. The tool appears to integrate LLM-based agents with the Datasette data exploration platform to automate data visualization. This represents a concrete example of agent tooling applied to data analysis workflows.
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.
Simon Willison announces datasette-agent-charts 0.1a2, an early alpha release of a plugin that adds AI agent-driven chart generation capabilities to Datasette. The release appears to integrate LLM-based tooling with the Datasette data exploration platform to enable automated visualization. This is part of Willison's ongoing work connecting agent/tool ecosystems with data analysis workflows.
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.
Simon Willison announces datasette-llm 0.1a8, an alpha release of a plugin integrating LLM capabilities into the Datasette data exploration tool. The release appears to be part of ongoing development of tooling that connects SQL-queryable datasets with language model interfaces. As an alpha release from a prominent AI tooling developer, it represents incremental progress in the agent/tooling ecosystem.
Simon Willison has released datasette-llm-limits 0.1a0, an early alpha plugin for the Datasette ecosystem that tracks usage limits for LLM API calls. The plugin appears to integrate with the existing LLM tooling ecosystem around Datasette. As an alpha release, it represents early-stage tooling for managing and monitoring LLM consumption within data workflows.