Skip to content
JevDirectory.orgTraffic count unavailable. View site traffic
CommunityJev Tools & CLIs

James Library

R.A.I.N. Lab is a local-first research environment. Four constrained perspectives investigate a question, quoted spans are checked against a local paper corpus, and experiments are pre-registered with host code, not a model, deciding pass, fail or inconclusive.

See highlightsOpen github.com
Stars
56
Language
Rust
License
MIT
Published by
Community
Author
topherchris420
Last verified
Oct 2026

topherchris420/james_libraryArchived

User repository on GitHub

View on GitHub

(Officially move to Lop Nur Twin) R.A.I.N. Lab is an experimental scientific-agent architecture that separates fast local judgment, independent probabilistic evaluation, multi-agent deliberation, evidence, and authorization into distinct computational layers.🐙(Predates Karpathy's AutoResearch)

Forks
19
Last pushed
Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

About this project

Most AI systems stop at the answer. R.A.I.N. begins there. What happens after a model proposes an answer? A researcher still needs to separate a claim from an observation, test it, decide what may happen, and keep the evidence. R.A.I.N. is building that research and decision layer. A local-first research environment where four constrained AI perspectives investigate a question, challenge one another, and leave an inspectable record. Think with a room that is allowed to disagree.

Quoted from the project's README. Read the full README.

Tagscommunityjevbest
Works forJev for ClassificationJev for RankingJev for EvaluationJev for Tool calling
Used inJev for Software & DevTools
Languages
Rust

Highlights

  • `python rain_lab.py --mode demo` runs offline with Python alone: no model, key, Rust build or third-party packages.
  • Chat checks quoted spans against the citation corpus and marks turns without verified spans as ungrounded by default.
  • Success and failure criteria are registered before the run, and every outcome including inconclusive or error is published.
  • A failed experiment stays on the record: typography-normalized quotes were rejected 0/50 while all 50 controls passed.

Watch out

The offline demo's four-perspective discussion is scripted, so it shows the shape of the process rather than model behaviour, and a verified quote only means the text occurs in a source. The hosted browser interface runs on its own backend and the README warns not to assume it shares the local privacy boundary. The recorded experiments mix a real quote-grounding gate with simulated trials; the offline plan path runs no model and no instrument, and the operator attestation is explicit but not an authenticated identity. Laya, Jev, hardware and neuroscience sidecars are optional, and the digest does not document how the Jev sidecar is configured. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

More Jev resources like this

claude-code-trace
376GitHub stars
Claude Code Trace renders the JSONL session files in ~/.claude/projects/ as browsable conversations with expandable tool calls, MCP tool names, and token counts, with an optional Jev pass that scores agent efficiency.
Jev Tools & CLIs#community#jevbest
Communitydelexw/claude-code-traceRust
OmniStudio
197GitHub stars
A Chinese-first desktop workbench for local models whose JEV page runs typed noul, choice and score questions against a local engine or a cloud key, alongside a gateway, RAG knowledge base and shared memory.
Jev Tools & CLIs#community#jevbest
Communitykunpengtalk/OmniStudioTypeScript
doc-router
30GitHub stars
Rust CLI that checks each PDF page for a usable text layer, extracts text pages locally, sends only the rest to an OCR model via LiteLLM, and merges a page-ordered result.
Jev Tools & CLIs#community#jevbest#catalog-import
Communitymisbahsy/doc-routerRust
SmartMoney-Cub
27GitHub stars
Local-first trading journal and review harness that is read-only over markets, captures runs into frozen envelopes and evidence packs, and requires explicit human promotion before any rule returns.
Jev Tools & CLIs#community#jevbest#catalog-import
Communitymyc0576/SmartMoney-CubPython
pi-dcp
17GitHub stars
Pi extension that trims wasted context before each model call by deduplicating repeated tool results, stripping failed payload args, and letting the model summarize closed spans.
Jev Tools & CLIs#community#jevbest#catalog-import
CommunityDavidcreador/pi-dcpTypeScript
hermes-nerve
38GitHub stars
Async supervisory layer for Hermes Agent that locks Definitions of Done, proves mechanical criteria locally, and calls Jev only for unresolved semantic checks under a token budget.
Jev Tools & CLIs#community#jevbest#catalog-import
Communitykeeltrace/hermes-nervePython

From the Jev guides

Original write-ups on what this entry is for.

Jev on the Gateways: Vercel, Workers AI, and OpenRouter
The request shape barely changes across surfaces; the surrounding contract does. When to call the API directly and when a gateway, a Worker binding, or a router entry earns its extra hop.
Jev Tools & CLIs#gateway#vercel#cloudflare
Read article
Exporting Decision Models: GGUF, ONNX, and Device Runtimes
Taking a decision checkpoint out of Python: what the GGUF and browser WebGPU exports preserve, what they change, and the parity evidence the model cards publish.
Jev Tools & CLIs#open-models#local#onnx
Read article
Records at Rest: Documents, Inboxes, and Risk Queues
Jev labels a record that already exists. Code moves, flags, or holds it. How the document, mail, and transfer tools keep the action out of the model.
Jev Tools & CLIs#classification#email#security
Read article
Back to all resources

From the Jev community

Posts from builders shipping with Jev right now.

Follow @typesafeai