A metasearch library that aggregates results from diverse web search services
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Updated
May 23, 2026 - Python
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, keyless arxiv and github search. Self-hosted SearXNG without Docker, an optional Tor layer for .onion search and fetch, NordVPN/SOCKS5 egress, one-call init, and a doctor.
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.
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.
Mini deep research CLI tool with orchestrated agents
[AI-ML-GC] Automated investment teaser generation from company data — editable PowerPoint decks with native charts, anonymization, and full source citations.
Tools for LLMs to anonymously search and browse the web
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.
Agent Skill for cached, batched web image search, candidate review, optimization, and website integration.
This repository contains my implementations, experiments, and technical notes based on concepts covered in ByteByteAI's "Become an AI Engineer: Learn by Doing" curriculum.
Runtime guardrails for LangGraph agents that detect loops, repeated tool calls, and no-progress runs.
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