io.github.thuupx/memory-mcp-lite

MCPcommunity
v2.0.0io.github.thuupxUnknownUpdated 4mo agonpmGitHub

A lightweight, structured, token-efficient local-first MCP memory server

A local-first, token-efficient MCP memory server for AI coding clients (Windsurf, Cursor, Claude Desktop, and any MCP-compatible client). A lightweight, structured memory layer that persists across AI coding sessions. It complements your AI client's built-in context by storing durable, structured knowledge. Technical decisions and their rationale Project architecture and conventions Gotchas,…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.thuupx
LicenseUnknown
Version2.0.0
Sourcemcp-registry
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
Dependencies60 resolved · 1 with advisories
Tool surface9 tools · none privileged
Security scan⚠ Warnings (1)v2.0.0 · 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

A local-first, token-efficient MCP memory server for AI coding clients (Windsurf, Cursor, Claude Desktop, and any MCP-compatible client). A lightweight, structured memory layer that persists across AI coding sessions. It complements your AI client's built-in context by storing durable, structured knowledge. Technical decisions and their rationale Project architecture and conventions Gotchas, commands, and environment facts Task state for resumable work sessions Hierarchical summaries (global ->…

Keywords
mcp