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Agentic memory manager. Install Skill: npx skills add meharajM/agent-loop-mcp
Agentic memory manager. Install Skill: npx skills add meharajM/agent-loop-mcp
Valid MCP server (2 strong, 4 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
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Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-meharajm-agent-loop-mcp": {
"args": [
"-y",
"@mhrj/mcp-agent-loop"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.):
npx skills add meharajM/agent-loop-mcp --yes
Add the following to your `mcp_config.json`:
{
"mcpServers": {
"agent-loop": {
"command": "npx",
"args": ["-y", "@mhrj/mcp-agent-loop"]
}
}
}
Unlike passive memory tools, this is an Active State Manager. It monitors word counts to trigger compaction cycles and enforces a "Self-Healing Strategy" on every failure, preventing AI agents from getting stuck in mindless loops.
src/: TypeScript source for the MCP server.skills/agentic-loop/SKILL.md: The instruction manual for the AI.build/: JavaScript artifacts.ISC
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