Deep Research

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。

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.

Deepdive skill for Claude Code — 12-phase research pipeline: plan-review gate, parallel sub-agent search, claims-ledger triangulation with dissent protection, relevance × authority evidence filter, multi-angle red team, four-layer citation verification. 105 blocks, 29 channels, 460+ stat sources, 47 APIs, 1072 verified endpoints.

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.

A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging agent runtimes, and production AI workflow patterns.

OpenClaw 深度研究 Obsidian 知识库 | 351 篇笔记 · 3250+ 双链 · 100 张配图 · 9 大主题 | AI Agent 最全中文知识图谱

专门为 agent 打造的开源 agent 搜索工具，具备 200+的搜索源及多语言搜索能力，覆盖中文/英文/学术/代码/购物/金融/新闻/百科。

给 AI Agent 的中文互联网研究 Skill：检索 8 大平台最近 30 天的讨论，追踪跨平台热点，生成附原始来源的报告，并提供每日全网热榜。支持 Claude Code、Codex、OpenClaw。

Professional deep research report generation Skill — one command, ten minutes, broker-grade deep research / 深度调研报告生成 Skill — 一条命令，十分钟出券商级深度调研报告

88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness.

Web search MCP server that does search result reranking locally on your machine, formerly known as mcp-local-rag. ✨ no API keys ✨

13 curated Agent Skills for research, product decisions, decks, publishing, audits, and more — portable across skills-compatible agents.

The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 50+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.

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.

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

Research methods, workflow tools, and independent review for AI agents, packaged as a Skill, plugin, and local MCP server.

Professional AI research tool for Zotero: chat with PDFs, whole-library search, Literature Radar, AutoPilot. 30+ LLMs or local models; built-in MCP server.

Official Code for OpenVLHarness: Real-World Visual Agentic Tool‑Use with Multimodal Memory

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.

AI multi-agent tool that turns research papers into cited commercialization and tech-transfer assessments: TRL, patent landscape, market and risks. CrewAI + FastAPI, with a reproducible benchmark.

De-Anthropocentric Research Engine — AI-powered academic research automation with deep literature survey, gap analysis, idea generation, experiment design & execution. Combines iterative deep research, adversarial debate, evolutionary generation, and distributed GPU execution.

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

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

MCP server for enabling LLM applications to perform deep research via the MCP protocol