io.github.tstockham96/engram

MCPcommunity
v0.5.1io.github.tstockham96UnknownUpdated 4mo agonpmGitHub

Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.

Universal memory layer for AI agents Engram gives AI agents knowledge graphs, consolidation, and spreading activation. Not storage. Understanding. That's it. 10 memory tools available via MCP. | Traditional memory | Engram | Storage | Flat vectors or files | Knowledge graph with typed edges | Maintenance | Manual curation | Sleep-cycle consolidation (LLM-powered) | Retrieval | You ask, it answers…

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4mo agoLast update
Package
Authorio.github.tstockham96
LicenseUnknown
Version0.5.1
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
Dependencies60 resolved+ · none vulnerable
Tool surface21 tools · none privileged
Security scan✓ Cleanv0.6.1 · 20d 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

Universal memory layer for AI agents Engram gives AI agents knowledge graphs, consolidation, and spreading activation. Not storage. Understanding. That's it. 10 memory tools available via MCP. | Traditional memory | Engram | Storage | Flat vectors or files | Knowledge graph with typed edges | Maintenance | Manual curation | Sleep-cycle consolidation (LLM-powered) | Retrieval | You ask, it answers | Spreading activation surfaces context you didn't ask for | 80.0% accuracy (vs 66.9% Mem0, 74.5%…

Keywords
mcp