io.github.martinfrasch/researchtwin

MCPcommunity
v0.1.1io.github.martinfraschUnknownUpdated 6mo agoGitHub

Federated research discovery with S-Index metrics across a network of digital twins.

ResearchTwin is an open-source, federated platform that transforms a researcher's publications, datasets, and code repositories into a conversational Digital Twin. Built on a Bimodal Glial-Neural Optimization (BGNO) architecture, it enables dual-discovery where both humans and AI agents collaborate to accelerate scientific discovery. Live at researchtwin.net | Join the Network The exponential…

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6mo agoLast update
Package
Authorio.github.martinfrasch
LicenseUnknown
Version0.1.1
Sourcemcp-registry
GitHubmartinfrasch/researchtwin
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/20
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/5
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—Domain verification+0/5
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—npm Trusted Publishing (Sigstore)+0/5
→ Publish from GitHub Actions with --provenance so the attestation binds this package to this repo
—npm maintainer match+0/5
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✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.1 · 2mo ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

ResearchTwin is an open-source, federated platform that transforms a researcher's publications, datasets, and code repositories into a conversational Digital Twin. Built on a Bimodal Glial-Neural Optimization (BGNO) architecture, it enables dual-discovery where both humans and AI agents collaborate to accelerate scientific discovery. Live at researchtwin.net | Join the Network The exponential growth of scientific outputs has created a "discovery bottleneck." Traditional static PDFs and siloed…

Keywords
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