Qingyon-AI / Revornix
Revornix is an open-source, local-first AI information/markdown workspace. It helps you collect fragmented inputs, turn them into structured knowledge, generate reports with images and podcast audio, and deliver the output through automated notifications.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Multi-format ingestion. web pages, PDF, Word, Excel, PPT, plain text, audio, and structured data through the public API.
- Pluggable converters. pick a default engine (MinerU, Jina, custom) per workspace; mix engines per document type if needed.
- Audio transcription. turn audio documents into searchable Markdown, with a meeting mode for speaker separation.
- Vector retrieval + GraphRAG. every document is chunked into Milvus and projected onto a personal knowledge graph in Neo4j for context-aware AI answers.
- Global search. vector or text mode over your private library, plus a separate public surface for published documents, sections, creators and labels.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 52 days ago
- Stars
- 292
- On GitHub
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0-beta1
- Released 5 months ago
- Built with
- TypeScript
- 64% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 75% closed
- 1 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- 26
- 12 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- TypeScript 64%
- Python 35%
- Go <1%
- JavaScript <1%
Topics
- agent
- ai
- markdown
- mcp
- news
- notes
- rag
- revornix
Project record
- JobOther AI tools
- StatusListed
- Commits1,599
- Forks37
- Watching3
- Stars in 28 days+1
- CreatedApr 6, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026