What is easl?

easl — instant hosting for AI agent demos, providing shareable previews and publishable URLs.Publish Markdown, CSV, JSON, HTML, SVG and Mermaid inputs to interactive pages with rendered previews and input-to-output transformations.

Create sortable tables, filters and interactive trees from tabular or nested data for data review, team rosters and reports.Use the CLI (npx @easl/cli) or a single curl API call to publish content and obtain shareable URLs that auto-expire after seven days.

Integrate with LLM backends such as Claude, Codex, Cursor and ChatGPT and extend agent behavior with npx-based skills and agent workflows.Open-source (MIT) with options to self-host or use the hosted endpoint; CLI and GitHub-hosted documentation support developer and team integration.

easl user reviews

Based on 2 reviews, 100.0% of users recommend easl, rated highly for quality results.

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easl's key features

Instant hosting for AI agent demos with shareable previews and publishable URLs
Publish Markdown, CSV, JSON, HTML, SVG and Mermaid inputs to interactive pages with rendered previews and input-to-output transformations
Create sortable tables, filters and interactive trees from tabular or nested data
Publish content via CLI (npx @easl/cli) or a single curl API call and obtain auto-expiring shareable URLs
Integrate with LLM backends (Claude, Codex, Cursor, ChatGPT) and extend agent behavior with npx-based skills and agent workflows

easl use cases

Host and share live AI agent demos using easl's instant hosting and simple CLI/curl workflow, publishing Markdown, HTML or JSON outputs into interactive preview pages with input-to-output transformations, integrated LLM agent workflows and auto-expiring shareable links for secure external testing
Publish interactive data explorers from CSV or JSON with sortable tables, filters and interactive trees using easl, enabling product and data teams to explore, filter and sort datasets in the browser and add LLM-powered natural-language queries for fast ad-hoc analysis
Prototype and document LLM agent workflows and pipelines by publishing Mermaid diagrams, SVGs and Markdown as interactive pages on easl, previewing step-by-step agent execution, collaborating via CLI/curl and distributing time-limited demos to stakeholders

Who is it for?

Ai/ml engineers
Machine learning researchers
Data scientists
Data analysts
Developer advocates
Product managers
Frontend developers
Engineering teams
Educators
Devops/platform engineers