heimdall

by ArihantDeva · Memory & Knowledge · ★ 137

heimdall is a project with MCP support by ArihantDeva. A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective. It has 137 GitHub stars and ranks #293 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: ArihantDeva
GitHub stars: 137
This week: Tracking since 20 Oct 2026
Language: JavaScript
License: MIT (open source)
Last update: 2026-10-23 (yesterday)
Links: Source Website

ai-agents
claude-code
cli
code-intelligence
developer-tools
embeddings
knowledge-base
llm-tools
mcp
memory
rag
semantic-search

How to install heimdall

Install steps differ per project, so follow the README in the heimdall repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

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Frequently asked questions

What is heimdall?

heimdall is a project with MCP support by ArihantDeva in the Memory & Knowledge category. A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective. It has 137 GitHub stars and ranks #293 of 1287 in Memory & Knowledge by stars. It is written in JavaScript. It is licensed under MIT. It was last updated yesterday.

Is heimdall free and open source?

Yes. heimdall is published under the MIT license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to heimdall?

Other Memory & Knowledge projects on MCP Harbor include open-webui, graphify, claude-mem. Each alternative links to its own page with stars, license and recent activity. The Memory & Knowledge category ranks all 1287 by stars, and you can re-sort it by growth this week.

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