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web-research

Open source alternatives to web-research

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

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    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

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  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

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  3. A

    andrej-karpathy-skills

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    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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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