io.github.ajc3xc/meridian

MCPcommunity
v1.0.2io.github.ajc3xcUnknownUpdated 1mo agonpmGitHub

Persistent memory, task coordination, and HITL queue for AI coding sessions.

Claude Code has no memory between sessions. Meridian fixes that. Open-source MCP server for persistent AI session memory — shared task log, pinned decisions, human-in-the-loop queue, and tiered handoffs. Works with Claude Code, Cursor, Cline, Claude Desktop, or any MCP client. Every AI coding session boots blind. You re-explain the architecture, re-describe the constraints, re-list what's been…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.ajc3xc
LicenseUnknown
Version1.0.2
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
Dependencies0 resolved · none vulnerable
Tool surface
Security scan✓ Cleanv1.0.0-alpha · 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

Claude Code has no memory between sessions. Meridian fixes that. Open-source MCP server for persistent AI session memory — shared task log, pinned decisions, human-in-the-loop queue, and tiered handoffs. Works with Claude Code, Cursor, Cline, Claude Desktop, or any MCP client. Every AI coding session boots blind. You re-explain the architecture, re-describe the constraints, re-list what's been tried. When context fills up mid-task, everything is lost. This is context debt — and it compounds.…

Keywords
mcp