An agent-native protocol for iterative adversarial research and the most defensible evidence-bound conclusion.
#deep-research
8 posts
Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost acco...
research & dispatch skills for Claude Code — 研究调度(Quick Recon + fact-check)+ 多模型调用器(纯调用器版)
MCP server for enabling LLM applications to perform deep research via the MCP protocol
A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architect...
Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code,...
A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather de...
Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.