io.github.martinfrasch/researchtwin

MCPcommunity
v0.1.1io.github.martinfraschUnknownUpdated 4mo 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…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.martinfrasch
LicenseUnknown
Version0.1.1
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
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 · 19d 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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