weaiw / trove-ai
中文互联网内容的个人 AI 稍后读 + 知识库 · Read-later + AI knowledge base for the Chinese internet
Why this job: says: knowledge base; topics: rag, semantic-search, knowledge-base
What it does
The problem is not that you save too much. It is that most tools stop at "saved", while real knowledge work starts at "read, connected, compared, and reused." WeChat 收藏 buries materials. Classic read-later tools mostly queue links. Saving is not knowledge management.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 191
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.4.2
- Released 2 months ago
- Built with
- Python
- 56% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 4 merged
- 2 waiting
- Releases
- 6
- 6 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 56%
- TypeScript 43%
- CSS 1%
- Dockerfile <1%
Topics
- ai
- chinese
- fastapi
- knowledge-base
- nextjs
- obsidian
- pgvector
- rag
- read-later
- second-brain
- semantic-search
Project record
- JobRAG and search
- StatusListed
- Commits18
- Forks32
- Watching0
- Stars in 28 days+8
- CreatedMay 23, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
