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

Autonomous AI backend for deep research AI applications.

MCP Deep Research Server using Gemini creating a Research AI Agent

Architecture Deep Research: deep research for strategic system design decisions.

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

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost accounting, an interactive /workflows TUI, an /ultracode standing opt-in, and deep research.

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

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

OpenHuman is an open source personal AI for Mac, Windows and Linux — local-first memory, agent orchestration, and deep research.

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

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

"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨

Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.

Your agent seeks what search can't find. A self-hosted perception MCP server that transcribes speech, reads behind logins, sees images and video frames, crosses languages, and remembers.

A skill for AI agents: search the web with SearXNG, browse with Camofox, bypass protections with CloakBrowser. Anti-hallucination by design. Self-hosted, free, unlimited.