DocHarvest
No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 14 Oct 2026. How this is checked
DocHarvest is an open-source tool for downloading documentation websites and converting them into LLM-ready Markdown, vector RAG JSONL, llms.txt, and styled offline PDFs. It provides a zero-configuration CLI, a React desktop GUI, and a FastMCP server for developer workflows.
Inferred · not functionally tested
Overview
6 featuresPurpose: Collecting and converting documentation into formats suitable for offline reading, retrieval systems, and language-model workflows.
Inferred · not functionally tested
Audience: developers and AI engineers
Inferred · not functionally tested
Functions: data_extraction, rag
Inferred · not functionally tested
Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, macos, windows, linux, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
DocHarvest is a Data integration & ETL project. Inferred · not functionally tested: It focuses on collecting and converting documentation into formats suitable for offline reading, retrieval systems, and language-model workflows. Inferred · not functionally tested: DocHarvest is an open-source project aimed at developers and AI engineers. Basis unknown · not verified: DocHarvest is open source under the MIT license. Basis unknown · not verified: DocHarvest is available on the command line, macOS, Windows, and Linux, and it can be self-hosted.
Rohann Shetty builds and maintains DocHarvest, and it first shipped in 2026. The project is developed in the open on GitHub with 78 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are documentation crawling, markdown export, and RAG JSONL export. Basis unknown · not verified: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Documentation crawling
- Markdown export
- RAG JSONL export
- llms.txt generation
- Offline PDF generation
- Desktop GUI
Topics: Inferred · not functionally tested
Built with & integrations
- Gemini CLI
- .gemini/
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed14 Oct · 08:11 UTCdocharvest seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about DocHarvest
- What does DocHarvest do?
- Inferred · not functionally tested: DocHarvest focuses on collecting and converting documentation into formats suitable for offline reading, retrieval systems, and language-model workflows. It is catalogued under Data integration & ETL on PulseGate.
- Who should use DocHarvest?
- Inferred · not functionally tested: DocHarvest is an open-source project built for developers and AI engineers.
- Does DocHarvest have a free plan?
- Basis unknown · not verified: Yes — DocHarvest is open source under the MIT license and free to use.
- What platforms does DocHarvest run on?
- Basis unknown · not verified: DocHarvest runs on the command line, macOS, Windows, and Linux. It can also be self-hosted.
- Is DocHarvest still maintained?
- The GitHub repository shows 78 commits in the last 90 days.
- Who develops DocHarvest?
- DocHarvest is developed by Rohann Shetty.
- When did DocHarvest launch?
- DocHarvest first shipped in 2026.
- Is DocHarvest open source?
- Basis unknown · not verified: Yes — DocHarvest is open source under the MIT license, developed on GitHub.
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