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The heimdall MCP server was last committed 1mo ago and has 2 contributors. Issue health: 100% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

heimdall MCP Server

Name: ArihantDeva/heimdall
Rating: 4.2 (1 reviews)
Author: ArihantDeva

ArihantDeva/heimdall

Score: 79.7 Rank #2039 Search & RAG

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A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.

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Overview

ArihantDeva/heimdall is a JavaScript tool licensed under MIT. A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective. Topics: ai-agents, claude-code, cli, code-intelligence, developer-tools, embeddings, knowledge-base, llm-tools, mcp, memory, rag, semantic-search.

Ranked #2039 out of 24846 indexed tools.

In the top 9% of all indexed tools.

Ecosystem

JavaScript MIT

ai-agentsclaude-codeclicode-intelligencedeveloper-toolsembeddingsknowledge-basellm-toolsmcpmemoryragsemantic-search

Score Breakdown

Stars 15% 136

136 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 100%

7/7 issues closed → responsive maintainer

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 10

Description Good

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 52 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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HTML

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Details

Stars: 136
Forks: 10
Open Issues: 0
Closed Issues: 7
Contributors: 2
Dependents: —
Language: JavaScript
License: MIT
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

# Heimdall

<p align="center">
  <a href="https://www.npmjs.com/package/@arihantdeva/heimdall"></a>
  <a href="https://github.com/ArihantDeva/heimdall/actions/workflows/ci.yml"></a>
  <a href="https://github.com/ArihantDeva/heimdall/stargazers"></a>
  
</p>

**Your agent keeps rebuilding work you already did. Heimdall makes it stop.**

<p align="center">
  <a href="https://raw.githubusercontent.com/ArihantDeva/heimdall/main/docs/assets/demo.mp4"></a>
</p>

Heimdall gives AI coding agents **persistent memory across every repository and project you work on** so the question *"did I already solve this in another project?"* gets answered by one verified search instead of twenty minutes of grep, `find`, and `ls` loops.

## The problem it solves

**1. Memory that doesn't live in one repository.** Every other memory tool is per-project. But your work isn't: the optimized functions you built in one project could be useful somewhere else. Heimdall indexes *everything you touch* into one semanti

Read full README on GitHub →