// Search & vector stores
Hyper-Extract
Transform unstructured text into structured knowledge with hypergraphs.
Open source Maintained For agents
IN ONE PARAGRAPH
Hyper-Extract is transform unstructured text into structured knowledge with hypergraphs.
Good for: Developers who want their agent (Claude Code, Codex, Cursor…) to search & vector stores.
Not for: people who don’t want to install and run tools themselves.
01How to start
- 1Read the official README for requirements and permissions.
- 2Install it as the official guide describes.
- 3Tell your agent the command exists (e.g. in AGENTS.md / CLAUDE.md) so it knows when to call it.
02Alternatives & comparison
Compare side by side →03Related
Versions, why it is listed, for AI to read
Popularity evidence (third-party snapshots)
- GitHub stars:3,800 · whatstrending.ai 2026-10-10
- GitHub stars:4,060 · repos.ecosyste.ms 2026-10-10
- GitHub stars:4,060 · repos.ecosyste.ms 2026-10-12
- GitHub stars:4,060 · repos.ecosyste.ms 2026-10-13
- GitHub stars:4,060 · repos.ecosyste.ms 2026-10-14
- GitHub stars:4,060 · repos.ecosyste.ms 2026-10-15
- GitHub stars:4,164 · repos.ecosyste.ms 2026-10-16
- GitHub stars:4,164 · repos.ecosyste.ms 2026-10-19
- GitHub stars:4,164 · repos.ecosyste.ms 2026-10-20
- GitHub stars:4,164 · repos.ecosyste.ms 2026-10-21
- GitHub stars:4,164 · repos.ecosyste.ms 2026-10-22
For AI agents
- Interfaces:its own app or website
- Machine-readable record:/api/v1/software/hyper-extract.json · llms.txt
- Added 2026-10-10 · updated 2026-10-22