VectifyAI/OpenKB
OpenKB: Open LLM Knowledge Base
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #290 of 2,845 repositories GStars tracks this week (top 10%).
1 release in the last 90 days, the latest 88 days ago, with 14 contributors on GitHub.
Use Cases & Benefits
- Compiles raw documents into a structured, interlinked wiki-style knowledge base using LLMs with vectorless, reasoning-based retrieval for long documents.
- Accumulates and maintains knowledge persistently with automatic summaries, concept and entity pages, cross-references, and contradiction flags, unlike traditional RAG systems.
- Use for building a scalable, multi-format knowledge base from PDFs, Word, Markdown, and URLs with native support for figures, tables, and images.
- Use for interactive querying and multi-turn chat sessions over a compiled knowledge wiki with persisted conversation states.
- Use for generating redistributable agent skills and HTML slide decks distilled from your knowledge base for expert systems or presentations.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Scale to long documents • Reasoning-based retrieval • Native multi-modality • No Vector DB
OpenKB (Open Knowledge Base) is an open-source system (in CLI) that compiles raw documents into a structured, interlinked wiki-style knowledge base using LLMs, powered by PageIndex's vectorless, reasoning-based retrieval for long documents.
The idea is based on a concept described by Andrej Karpathy: LLMs generate summaries, concept pages, and cross-references, all maintained automatically. Knowledge compounds over time instead of being re-derived on every query.
Traditional RAG rediscovers knowledge from scratch on every query. Nothing accumulates. OpenKB compiles knowledge once into a persistent wiki, then keeps it current. Cross-references already exist, contradictions are flagged, and synthesis reflects everything consumed.
OpenKB has two layers: a wiki foundation that compiles and maintains your knowledge, and generators (query / chat / Skill Factory) that turn it into useful output. See Usage for the full command list.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+1,119 stars over 66 days across 6 snapshot days; best day +10 on Aug 13.
Forks
496+109
Open issues
83+46
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| storytold/artcraft | 35.6K | +20.3K | 75 | 26 days ago |
| ifixai-ai/iFixAi | 30.7K | +6.9K | 75 | 5 days ago |
| heygen-com/hyperframes | 70.0K | +5.6K | 45 | today |
| vxcontrol/pentagi | 32.0K | +5.4K | 75 | 17 days ago |
| calesthio/OpenMontage | 70.9K | +3.2K | 75 | — |
| VectifyAI/OpenKB | 4.8K | +0 | 75 | 88 days ago |
| Category median | 35.6K | +5.6K | 75 | — |
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