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

Salesforce Enterprise Deep Research

Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.

Code to accompany the Universal Deep Research paper (https://arxiv.org/abs/2509.00244)

🔍 OpenSearch-VL provides a fully open recipe for training strong multimodal deep search agents through high-quality data curation, diverse visual/search tools, and fatal-aware agentic reinforcement learning.

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

A live benchmark and evaluation framework for open-ended deep research in the wild.

Cerno is a local-first research platform that leverages agentic AI to break down complex queries into verifiable, multi-step workflows. Switch seamlessly between cloud LLMs and self-hosted models, track every reasoning step, and optimize cost and tokens—all while keeping your data on your machine.

[NeurIPS 2025] A multimodal agent that can interact with its own PC in a multimodal manner.

LLM-powered MCP server for building financial deep-research agents, integrating web search, Crawl4AI scraping, and entity extraction into composable analysis flows.

A minimalist deep research framework for any OpenAI API compatible LLMs. 一个适用于任何兼容OpenAI API的大型语言模型的极简深度研究框架。

A full-stack local deep research application built with LangGraph, supporting multiple LLM providers and search APIs. Powered by FastAPI + LangGraph backend and Next.js 15 + React 19 frontend, delivering a modern UI and comprehensive local research solution.

A deep research agent project (Aliyun TIANCHI Competition Project).

NeurIPS 2025 MMU-RAG Submission: An Open and Reproducible Deep Research Agent for Long-Form Question Answering

A Deep Research Agent that orchestrates in-depth web research on any topic. Built on LangGraph with 5 search providers, three-tier LLM hierarchy ,semantic Redis caching, and PDF/MD/JSON export. Generates publication-quality PDF/MD reports with interactive plan review and RAG chat.

Deep research (CLI and agent skill) via the Gemini Interactions API. Automatic RAG grounding from local files (optional), cost estimation (--dry-run), adaptive polling, structured output, and agent onboarding. No Gemini CLI dependency. Universal AI agent skill for Claude Code, Amp, Codex, Clawdbot, and 30+ agents.

An autonomous research agent that synthesizes detailed reports by combining dynamic planning, unsupervised topic discovery (PCA/KMeans) HyDe (hypothetical doc embeddings), and a self-correcting reflexion loop.

This MCP server that brings Gemini's Deep Research Agent to the AI coding assistants. This provides ai assistant with very high quality deep web research. Ai coding assisstant when doing deep research on their own easily fill up their context size, but gemini makes it very very efficient. the only negative is time and pricing here.

AI-Powered Deep Research Agent for Sexual Health

Local-First AI Research Assistant for ArXiv Papers - Built with Praval Agentic Framework (pravalagents.com)