A hosted memory layer that runs over HTTP instead of stdio, which means zero local setup. It exposes 18 tools split between memory operations (store, search, list, delete), account management (login via PayPal OAuth, export data, cancel subscription), and feedback. The interesting bit is the retrieval stack: hybrid vector plus keyword search with reciprocal rank fusion, query expansion through LLM paraphrasing, and multi-variant embeddings where each fact gets stored four different ways. Processing happens async on Cloudflare Workers so storage never blocks your conversation. Sixty day free trial, then $2.99/month. Reach for this if you want your assistant to remember context across sessions without maintaining your own vector infrastructure or running local processes.
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.
One command. Works with any MCP-compatible client.
claude mcp add --transport http --scope user amber https://mcp.ambermem.com
Add to ~/.cursor/mcp.json (or %USERPROFILE%\.cursor\mcp.json on Windows):
{
"mcpServers": {
"amber": {
"url": "https://mcp.ambermem.com"
}
}
}
Settings → Connectors → Create → URL: https://mcp.ambermem.com
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"amber": {
"serverUrl": "https://mcp.ambermem.com"
}
}
}
Add to .vscode/mcp.json:
{
"servers": {
"amber": {
"type": "http",
"url": "https://mcp.ambermem.com"
}
}
}
URL: https://mcp.ambermem.com | Transport: Streamable HTTP | Auth: OAuth 2.1 (auto-discovered)
No configuration. No tagging. No manual organization.
| Feature | Basic memory servers | Amber |
|---|---|---|
| Storage | One embedding per memory | Multiple semantic variants per fact |
| Search | Single vector lookup | Hybrid: vector + keyword + RRF fusion |
| Queries | Exact match only | Auto-expanded (synonyms, paraphrases) |
| Input | Stored as-is | LLM-chunked into atomic facts |
| Topics | Manual tags or none | Auto-categorized by LLM |
| Time | No temporal awareness | Natural language time parsing ("last week", "3 days ago") |
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
https://mcp.ambermem.comsupport@ambermem.com or use the amber_send_feedback_to_developer toolWill 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.