Deep Research Agent

Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai

Structured deep research skill for Claude Code/Open Code/Codex with human-in-the-loop control

Open‑source alternative to Perplexity Comet, director.ai and firecrawl combined

Autonomous deep research agent workflow that crawls over 20+ sources, aggregates findings, filters citations, and compiles research papers.

Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video

A serverless, AI-powered deep research agent built with Cloudflare Workers and Google Gemini 2.5

Local-first deep research agent that reads the whole web — even pages behind Cloudflare, Datadome, Turnstile & reCAPTCHA. Stealth fetch + cited reports. MCP-native, MIT.

Poirot is a deep research agent kernel built for those who care about how agents are architected.

AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.

🦀⚡ Community skill pack & CLI for Genspark Claw, OpenClaw & Hermes agents — 5 production-ready SKILL.md skills (deep research, reports, slides, browser automation, AI call prep), zero-dependency Node.js installer, MCP server, one-line install

DeepPaperNote is an agent skill for deep-reading a single paper and generating high-quality Obsidian-style research notes. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

日本株の自律型リサーチAIエージェント｜AI agent for deep financial research on Japanese listed companies. Powered by EDINET DB + J-Quants.

A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.

An autonomous agent that conducts deep research on any data using any LLM providers

🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.

让AI Agent 做真正会思考，有判断的深度调研，而不是会摆信息的汇总报告。一个即插即用的 skill 文件。

Evidence-first deep research skills for AI agents, with source tracking, citations, contradiction checks, and uncertainty-aware synthesis.

AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.

Recoverable and auditable deep-research agent built with LangGraph. It plans research, searches the web, manages evidence and context, resumes interrupted runs, and generates cited reports—also designed as a learning reference for AI Agent enthusiasts.

Build a powerful Deep Research AI agent like Gemini or ChatGPT. Using Next.js, Vercel AI SDK, and Exa Search API, An intelligent system that generates follow-up questions, crafts optimal search queries, and compiles comprehensive research reports.

AI deep-research agent that turns any question into a cited report: plans searches, reads real sources, verifies evidence. Self-hosted, multi-provider, Docker-ready.

本研究基于 Claude Code Deep Research 系统： 方法论: 8阶段股票投资尽调框架 智能体: 28个并行研究智能体 工具: WebSearch、WebFetch、综合分析 质量: 多空平衡、明确风险、数据验证。简单使用：/stock-research AAPL, I want a quick overview