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deep-research

u14app/deep-research

Use any LLMs for Deep Research with SSE API and MCP server

GraphCanon updated Aug 30, 2026 · GitHub synced Aug 14, 2026

34views this month

4.7k stars1.1k forksLast push Jun 18, 2026 JavaScript MIT

Decision brief

Deep Research is a JavaScript-based framework enabling integration of various Large Language Models for deep research projects using SSE and MCP.

Good fit when

  • - When requiring an API interface that supports Server-Sent Events (SSE) and Model Control Protocol (MCP) for integrating large language models
  • - For developers needing setup flexibility, including local development servers, Docker containers, or static deployment options

Avoid when

  • - When working with environments that do not support JavaScript, as Deep Research is primarily built on this language
  • - For projects that require real-time bidirectional communication with models, as Deep Research might only provide unidirectional data flow through SSE

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (4,686) are secondary evidence.

npm downloads (30d)
120·npm downloads API·Aug 14, 2026

Maintenance and security

Full trust report
Maintenance
Steady (56d since push)
As of Aug 14, 2026
Provenance
Not a fork · Organization account
As of Aug 14, 2026
Security (OSV)
No lockfile
As of Aug 30, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install deep-research
npm

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A JavaScript-based repository to support the integration of various Large Language Models for deep research projects through an API interface that includes SSE (Server-Sent Events) and MCP (Model Control Protocol). It supports setups via local development servers, Docker containers, and static deployment.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Aug 14, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Aug 14, 2026

CLI
CLI entrypoint

Source: package.json:bin|scripts · Aug 14, 2026

MCP server
No MCP server detected

Source: repo_scan · Aug 14, 2026

Languages
javascript, typescript

Source: github.language+package.json · Aug 14, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Node.js runtimeNode.js

Source: README excerpt (regex_v1, Aug 14, 2026)

pnpm install # or npm install or yarn install
Source link

Tags

README

Installation 1. Clone the repository: 2. Install dependencies: 3. Set up Environment Variables: You need to modify the file to , or create a file and write the variables to this file. 4. Run the development server: Open your browser and visit http://localhost:3000 to access Deep...

For agents

This page has a .md twin and JSON over the API.

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