io.github.abbacusgroup/cortex

MCPcommunity
v0.2.2io.github.abbacusgroupUnknownUpdated 4mo agoGitHub

Persistent knowledge system with OWL-RL reasoning and 22 MCP tools. Local-first.

Cognitive knowledge system with formal ontology, reasoning, and intelligence serving. Cortex captures knowledge objects (decisions, lessons, fixes, sessions, research, ideas), classifies them with an OWL-RL ontology, discovers relationships, reasons over the graph, and serves intelligence through hybrid retrieval. The setup wizard configures everything: LLM provider, embeddings, dashboard…

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4mo agoLast update
Package
Authorio.github.abbacusgroup
LicenseUnknown
Version0.2.2
Sourcemcp-registry
GitHubabbacusgroup/Cortex
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
→ 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>" }
—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
→ Earned once your identity is verified above and that login is an npm maintainer of this package
✓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✓ Cleanv0.4.1 · 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

Cognitive knowledge system with formal ontology, reasoning, and intelligence serving. Cortex captures knowledge objects (decisions, lessons, fixes, sessions, research, ideas), classifies them with an OWL-RL ontology, discovers relationships, reasons over the graph, and serves intelligence through hybrid retrieval. The setup wizard configures everything: LLM provider, embeddings, dashboard password, background services, and Claude Code registration. Other install methods Lightweight (no PyTorch…

Keywords
mcp