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  1. Home
  2. 🧠 Knowledge & Memory
  3. Amber
Amber logo
Health: ActiveRecent health check succeeded.Last checked 8/10/2026, 11:16:58 PM

Amber

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website

Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "amber-3": {
      "command": "npx",
      "args": [
        "-y",
        "https://mcp.ambermem.com"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

Amber

Long-term memory for AI assistants.

Amber is an MCP server that gives any AI assistant persistent, searchable memory across conversations. Your AI remembers preferences, decisions, project context, and personal details - without you doing anything special.

Just talk normally. Amber stores what matters and finds it when relevant.

Quick Install

One command. Works with any MCP-compatible client.

Claude Code / Claude Desktop

Terminal
claude mcp add --transport http --scope user amber https://mcp.ambermem.com

Cursor

Add to ~/.cursor/mcp.json (or %USERPROFILE%\.cursor\mcp.json on Windows):

config.json
{
  "mcpServers": {
    "amber": {
      "url": "https://mcp.ambermem.com"
    }
  }
}

ChatGPT

Settings β†’ Connectors β†’ Create β†’ URL: https://mcp.ambermem.com

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

config.json
{
  "mcpServers": {
    "amber": {
      "serverUrl": "https://mcp.ambermem.com"
    }
  }
}

VS Code (GitHub Copilot)

Add to .vscode/mcp.json:

config.json
{
  "servers": {
    "amber": {
      "type": "http",
      "url": "https://mcp.ambermem.com"
    }
  }
}

Any MCP client

URL: https://mcp.ambermem.com | Transport: Streamable HTTP | Auth: OAuth 2.1 (auto-discovered)

How It Works

  1. You talk to your AI normally. Amber stores important facts in the background.
  2. Next conversation, your AI searches Amber automatically when context would help.
  3. Memory improves over time. The more you use it, the better it gets.

No configuration. No tagging. No manual organization.

What Makes Amber Different

FeatureBasic memory serversAmber
StorageOne embedding per memoryMultiple semantic variants per fact
SearchSingle vector lookupHybrid: vector + keyword + RRF fusion
QueriesExact match onlyAuto-expanded (synonyms, paraphrases)
InputStored as-isLLM-chunked into atomic facts
TopicsManual tags or noneAuto-categorized by LLM
TimeNo temporal awarenessNatural language time parsing ("last week", "3 days ago")

Technical Details

  • 18 MCP tools (9 memory, 7 account, 2 feedback)
  • Hybrid retrieval pipeline: vector search + full-text search + Reciprocal Rank Fusion
  • LLM-powered chunking: text β†’ atomic facts, each independently searchable
  • Multi-variant embeddings: each fact stored with ~4 paraphrases for higher recall
  • Query expansion: searches are auto-rephrased to find semantically related memories
  • Automatic topic categorization: memories grouped by LLM-generated topics
  • Temporal parsing: "what did I say last week?" just works
  • Async processing: storage completes in 10-30s background, never blocks your conversation

Pricing

  • 60-day free trial - no charge, cancel anytime
  • $2.99/month after trial, via PayPal
  • Cancel instantly - ask your AI to cancel, or cancel through PayPal directly
  • No lock-in - export all your data as JSON anytime

Privacy

  • No email collected
  • No marketing, no spam
  • Data isolated per user (separate database)
  • PayPal handles all payment info
  • Full export + account deletion available
  • GDPR compliant (data minimization by design)

Architecture

Amber runs on Cloudflare Workers (zero cold starts, global edge deployment) with Turso databases (one per user, full isolation). LLM processing uses Gemini Flash for chunking/expansion and OpenAI for embeddings.

For full technical documentation: ambermem.com/llms.txt

Links

  • Website: ambermem.com
  • MCP endpoint: https://mcp.ambermem.com
  • Privacy policy: ambermem.com/privacy
  • Terms of service: ambermem.com/terms
  • Technical docs (for AI): ambermem.com/llms.txt
  • Support: support@ambermem.com or use the amber_send_feedback_to_developer tool

FAQ

Will it slow my AI down? No. Storage is async (background). Search adds <1 second.

What if Amber shuts down? Export all your data as JSON anytime. Your data is always yours.

Do I need a PayPal account? Currently yes. PayPal handles both identity and billing. More login options coming soon.

Is my data safe? Each user gets a completely isolated database. No data is shared between users. Amber has no access to your PayPal payment details.

Can I self-host? Not currently. Amber is a managed service. We handle the infrastructure, scaling, and LLM costs so you don't have to.

Related MCP Servers

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  • A
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    Long-term memory for AI assistants. Hybrid retrieval, query expansion, auto-topics.

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Frequently Asked Questions about Amber

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "amber": { "command": "npx", "args": ["-y", "Amber"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 15, 2026
39Quality signal: Fair Β· 39/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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