A metasearch library that aggregates results from diverse web search services

Tools for LLMs to anonymously search and browse the web

Modern Golang YaCy node

Keyless, uv-native web search + read for AI agents: ddgs multi-engine search with de-correlated rank fusion, Trafilatura extraction to paginated Markdown, plus keyless arxiv and github search. One fenced agent face (web_search/web_fetch/web_open) and a FastMCP server. Installs via npx skills add, a Claude plugin, or uvx.

Web Search API for retrieve data from internet.

A free, uncapped stdio MCP server that searches the web via DuckDuckGo/ddgs and returns page-body extracts. Ships as a single self-contained binary. Works with Claude Code, ZCode, and any MCP client.

An open-source, keyless LinkedIn lead generation & profile curation web app. Target leads by Role, Location & Designation, automatically scrape detailed profiles with Playwright, filter out low-follower spam accounts, and curate leads in a dark glassmorphic dashboard.

Mini deep research CLI tool with orchestrated agents

An autonomous AI-powered research agent that performs deep web research and generates comprehensive, cited reports—completely locally on your machine.

[AI-ML-GC] Automated investment teaser generation from company data — editable PowerPoint decks with native charts, anonymization, and full source citations.

A high-performance FastAPI service that scrapes real-time market data and leverages the Google Gemini AI to generate structured markdown reports on Indian trade opportunities. Features include custom guest authentication, in-memory rate limiting, and comprehensive automated testing.

A highly resilient, token-efficient, and feature-rich Command Line Interface (CLI) wrapper around the DuckDuckGo Search (ddgs) Python library. It features built-in proxy rotation, rate-limiting, custom token-saving ASCII rendering, webpage extraction, and direct content fetching.

Tools for LLMs to anonymously search and browse the web

Python Streamlit app to analyze news about a given topic using LLMs.

Runtime guardrails for LangGraph agents that detect loops, repeated tool calls, and no-progress runs.