Amber

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Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code
claude mcp add --transport http amber 'https://mcp.ambermem.com'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "amber": {
            "type": "http",
            "url": "https://mcp.ambermem.com"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Amber
  2. Quick Install
  3. How It Works
  4. What Makes Amber Different
  5. Technical Details
  6. Pricing
  7. Privacy
  8. Architecture
  9. Links
  10. FAQ

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
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):

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

Settings → Connectors → Create → URL: https://mcp.ambermem.com

Windsurf

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

{
  "mcpServers": {
    "amber": {
      "serverUrl": "https://mcp.ambermem.com"
    }
  }
}
VS Code (GitHub Copilot)

Add to .vscode/mcp.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 onlyMany phrasings per fact, matched semantically
InputStored as-isChunked into atomic facts, each independently searchable
TopicsManual tags or noneAuto-grouped, matched semantically at search time
PrivacyVaries by serverNo generative model reads your memories
TimeNo temporal awarenessNatural language time parsing ("last week", "3 days ago")

Technical Details

  • 29 MCP tools (14 memory, 13 account, 2 feedback/notification)
  • Hybrid retrieval pipeline: vector search + full-text search + Reciprocal Rank Fusion
  • Multi-variant embeddings: every fact is stored with several paraphrases — at least 5, and a store is rejected below that — which is the main thing that makes it findable later
  • No generative model reads your memories: your assistant does the chunking, the topics and the phrasings. Memory text is sent only to an embedding endpoint (a vector model, not a chat model), so no chat model is ever shown what you store
  • Atomic facts: a conversation becomes individually searchable facts rather than one blob, each with its own subjects, topics and dates
  • Temporal search: "what did I say last week?" resolves to a real date range rather than a keyword match
  • Automatic topic grouping: memories are grouped by topic, and a search for "work" also finds "career" and "job"
  • Async processing: storage completes in the background, never blocking your conversation

Pricing

  • 90-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). Your assistant does the chunking, the topics and the phrasings, so no generative model is ever shown what you store; memory text is sent only to OpenAI's embedding endpoint.

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

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.

Frequently asked questions

What is Amber?

Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable.

How do I install Amber?

It runs as a remote server. In Claude Code: claude mcp add --transport http amber 'https://mcp.ambermem.com'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Amber need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is Amber open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Amber?

It is published by ambermem. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.