Marmot

Marmot is a command-line interface tool designed for AI generation, web research, scraping, and data enrichment directly from the terminal. It provides consistent flags and JSON output across various providers to let users compose agentic workflows and process data streams using pipes. The software operates under an open-source MIT license and utilizes a bring-your-own-keys model to broker calls to multiple AI and data services.

• Interact with multiple AI providers and perform web searches from the terminal
• Enrich data and summarize web content using pipes with consistent flags and JSON output
• Save flag bundles as presets and run them using preset flags or names
• Skip duplicate calls with built-in response caching
• Track logs and messages across calls using optional sessions
• Build context turn by turn with a chat mode that compacts when it gets long
• Add the skill to agents using npx skills

Pros

• Provides a unified interface and consistent flags across multiple AI and data providers
• Enables pipeline composition for combining tasks like web searching, summarizing, and text generation
• Reduces repeated calls and costs using built-in response caching
• Supports bring-your-own-keys for existing AI and data provider accounts

Cons

• Requires users to bring their own API keys for the AI and data providers they want to use
• Sessions are turned off by default and require manual tracking configuration
• Relies on a Node environment to run anywhere node is available

Marmot fits developers, engineers, and technical operators who live in the terminal and want to compose agentic workflows, triage emails, research topics, run go-to-market operations, or generate CI/CD artifacts like commit messages and PR descriptions using shell pipes. It is a poor fit for non-technical users who require a graphical user interface rather than a command-line tool.

Unlike single-purpose command-line utilities or graphical applications, Marmot acts as a single shell-native interface that bridges multiple distinct AI, search, and enrichment providers through standard pipes and JSON output. Instead of forcing agents to manage separate integrations for every model or data source, it consolidates access into one skill with consistent flags. It also incorporates built-in caching, session tracking, and reusable presets directly in the terminal.

Ollama, OpenRouter, Vercel AI Gateway, Cloudflare, OpenAI, Anthropic, Brave, Exa, Firecrawl, Parallel, Tavily, ScrapeOps, ScraperAPI, ScrapingBee, Zyte, Apollo, Hunter, People Data Labs, Tomba, Bouncer, Datagma, ZeroBounce, Kickbox

Marmot is worth trying for developers and terminal power users looking for a free, open-source command-line interface to unify AI providers and web scraping workflows. Because it relies on a bring-your-own-keys model, users must already have or acquire accounts with the underlying AI and data providers they wish to call. It is ideal for those who prefer shell-native pipelines, but it is not suited for users who need a graphical application.