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web-research

Self-hosted alternatives to web-research

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Launch

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Launch

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Launch

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About web-research

W

web-research

Searches multiple web sources, synthesizes findings

web-research is an agent skill from the langchain-ai deepagents project, listed on skills.sh. It searches several web sources, synthesises the findings and produces a research report with citations, using delegated subagents. The process begins with a plan. The agent creates a dedicated research folder for the work, so that files do not clutter the working directory, then breaks the question into distinct subtopics that do not overlap, and saves the plan before it delegates anything. Subagents then research each subtopic and save their findings, and the agent synthesises them into a cited report. The skill is for analysts, students and developers who need a sourced overview of a topic, rather than a single answer from the model. Because the plan is saved first and each part is delegated, the research can be checked step by step. The listing shows a Snyk Warn result, so read that before installing.

Price
Free
Made by
langchain-ai
Category
AI Skills
Website
github.com/langchain-ai/deepagents/web-research