io.github.abbacusgroup/cortex

MCPcommunity
v0.2.2io.github.abbacusgroupUnknownUpdated 2mo 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…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
2mo 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+0/25
→ 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✓ Cleanv0.4.1 · 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

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