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neurolink + Jev: The pipe layer of an AI nervous system
juspay/neurolink
VerifiedJev applicationDocumented
neurolink: The pipe layer of an AI nervous system — one interface connecting provider neurons to your application, across three inference types. See Jev references and source code.
Repository description: The pipe layer of an AI nervous system — one interface connecting provider neurons to your application, across three inference types: generate, stream, and a calibrated decide (via TypeSafe Jev). MCP-native, voice (TTS/STT/realtime), RAG, memory, file processors. Powers Tara, Yama and Clairvoyance at Juspay.
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/juspay/neurolink.gitProject facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- TypeScript
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2025-05-31
- Last code update
- 2026-09-28
- GitHub stars
- 144
- Evidence checked
- Sep 28, 2026
- Metadata checked
- Sep 28, 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.
| **`decide` Inference Type + TypeSafe Jev + Laya** | next | A third inference type alongside `generate`/`stream`: typed, calibrated judgments (`boolean`, `choice`, `score`) via `neurolink.decide()` / `tryDecide()`, one parallel pass (~400ms and ~$0.00002/decision on Jev). First provider is TypeSafe Jev (`TYPESAFE_API_KEY`, also reachable via the Vercel AI Gateway); [Laya] (`LAYA_API_KEY` + `LAYA_BASE_URL`), an open-weights model you run yourself, is the second — TypeSafe wins
Evidence commit: 469cda8a6e8b86574d9aef8782459f5ed376ba63
Discovered through: typesafe-field-guide, github-search.
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