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Aelios MCP Server

wusaki0723/Aelios

Score: 85.2 → 0% Rank #892 MCP Server
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分层长期记忆内核 · Cloudflare Workers + D1 + Vectorize · 即时捕获/4小时抽取/凌晨整理三档写入,六层记忆 + 可视化 curation面板。QQ群:1091783659

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Overview

wusaki0723/Aelios is a TypeScript tool licensed under AGPL-3.0. 分层长期记忆内核 · Cloudflare Workers + D1 + Vectorize · 即时捕获/4小时抽取/凌晨整理三档写入,六层记忆 + 可视化 curation面板。QQ群:1091783659 Topics: ai-memory, cloudflare-workers, d1, long-term-memory, mcp, vectorize.

Ranked #892 out of 24846 indexed tools.

In the top 4% of all indexed tools.

Has 11 contributors.

Ecosystem

TypeScript AGPL-3.0
ai-memorycloudflare-workersd1long-term-memorymcpvectorize

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 132

132 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → recently updated

Issue Health 25% 86%

6/7 issues closed → responsive maintainer

Contributors 10% 11

11 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 83
Description Good
License AGPL-3.0

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

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Matched Queries

topic:mcp

From the README

# Aelios

**A long memory for your AI.** Switch windows, switch clients, switch models — the memory follows you.

English | [简体中文](README.zh-CN.md) · QQ group: 1091783659

Aelios is a memory gateway that runs on Cloudflare. Your Chatbox / Claude Code / Codex connects to Aelios first; Aelios forwards the request to the model. Every conversation is kept, and the relevant parts come back automatically next time.

```text
your client  →  Aelios (identify, remember, recall)  →  the model
```

## Quick start — three steps

### 1. Deploy

Fork this repo first, then deploy your fork. That way every later update is one click (see [Updating](#updating-to-the-latest-version)).

1. Click **Fork** at the top of this page.
2. In the Cloudflare dashboard, go to **Workers & Pages → Create → Import a repository**, connect GitHub and pick your fork. Keep the project name `companion-memory-proxy`, set the build command to `npm ci` and the deploy command to `npm run deploy`. The deploy command creates the
Read full README on GitHub →

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