A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
pi-jev-context: Model performance first
Nyarlathoteppppp/pi-jev-context
VerifiedResearchDocumented
pi-jev-context (Nyarlathoteppppp): Model performance first. Explore the Jev references, TypeScript source code and similar projects.
Repository description: Model performance first. Token savings second. A Pi extension with freshness-aware read dedupe, Jev log filtering, and searchable verbatim recall. Keeps existing message history intact.
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/Nyarlathoteppppp/pi-jev-context.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- TypeScript
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-18
- Last code update
- 2026-09-22
- GitHub stars
- 8
- Evidence checked
- Sep 29, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
possible. No database, embeddings, summarizer, or Jev call is involved in recall.
Evidence commit: 06ba3e937c0764d64f91a2d7ad64ab11b09459c5
Discovered through: awesome-jev, typesafe-field-guide.
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