Classify current crypto macro regime (Risk-On / Risk-Off / Neutral) using Fear & Greed Index, BTC dominance, Reddit sentiment, on-chain signals, and macro news. Returns regime label, bias direction, and asset-specific adjustments. Use for macro analysis, regime detection, portfolio bias, or market context.
Web search across 7 engines in parallel with browser impersonation. Use when the agent needs current information from the web — news, documentation, recent events, or anything beyond training data. Returns structured JSON (SearXNG-compatible) with title, URL, and content. Uses curl_cffi to mimic real browser fingerprints so requests don't get blocked. Install with `pip install webserp`. No API keys needed.
Collect structured human input — approvals, decisions, reviews, data — via web forms. Create a form with a JSON schema, send unique URLs to humans, poll for results. Use when your workflow needs a human in the loop before proceeding.
It reads from your local zettelkasten notes, find a random idea, and find references by links or tags, then expand the idea with the references.
File-based memory system for AI agents that forget between sessions. Implements the "Dory-Proof" pattern for continuity across context resets. Use when setting up agent memory, building workspace structure, implementing task tracking, or preventing context-loss errors. Triggers on "memory system", "remember between sessions", "Dory pattern", "agent continuity", or "workspace setup".
AI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.
Convert any webpage into structured JSON data using AI. Scrape websites, extract data into custom JSON schemas, and call saved APIs programmatically. Useful for web scraping, data extraction, content monitoring, lead generation, price tracking, and building data pipelines.
Search the web and get real-time SERP-style results with titles, URLs, and snippets. Use this for general web queries when you need current links and information from across the internet.
Extract and parse content from web pages, PDFs, documents (docx, pptx), and images using the docling CLI with GPU acceleration. Use INSTEAD of web_fetch for extracting content from specific URLs when you need clean, structured text. Use Brave (web_search) for searching/discovering pages. Use docling when you HAVE a URL and need its content parsed.