io.github.meharajM/agent-loop-mcp

MCPcommunity
v1.0.3io.github.meharajMUnknownUpdated 4mo agonpmGitHub

Agentic memory manager. Install Skill: npx skills add meharajM/agent-loop-mcp

The industry-standard persistent memory and state manager for long-running agentic workflows. Enable any AI model—especially smaller ones with limited context windows—to function with the persistence of high-end models. This project works as a two-part ecosystem: an MCP Server for state management and an Agent Skill for orchestration. For the best experience, you must install both the…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.meharajM
LicenseUnknown
Version1.0.3
Sourcemcp-registry
npm@mhrj/mcp-agent-loop
GitHubmeharajM/agent-loop-mcp
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—
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface6 tools · none privileged
Security scan✓ Cleanv1.0.3 · 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

The industry-standard persistent memory and state manager for long-running agentic workflows. Enable any AI model—especially smaller ones with limited context windows—to function with the persistence of high-end models. This project works as a two-part ecosystem: an MCP Server for state management and an Agent Skill for orchestration. For the best experience, you must install both the orchestration skill and the MCP server. Install instructions into your AI agent (Claude Code, Cursor, etc.):…

Keywords
mcp