Amber
com.ambermemPublished by ambermem.comOfficial publisherv1.1.1439Updated Nov 5, 2026
Long-term memory for AI assistants: permanent, portable across clients, searchable and exportable.
Overview
Amber is a hosted long-term memory service that lets an AI assistant save, search and export facts about you across conversations and clients.
- What you can do
- Save memories from normal conversation, chunked into atomic facts with topics and dates
- Search memories semantically, by keyword and by natural-language time ranges
- Manage the memory store and account, including export and deletion
- Send feedback or notifications to the developer
- When to use it
- Worth adding if you want an assistant to carry preferences, decisions and project context between sessions and across different MCP clients, and you are willing to keep its tools always on and add a custom instruction so it stores memories without being asked.
- Requirements
- A remote Streamable HTTP endpoint with OAuth 2.1 sign-in; no local package. A PayPal account for billing after the 90-day trial. Two client-side settings: a custom instruction telling the assistant to save memories unprompted, and Amber's tools set to always available.
Installation
In SourceWeft
- Open Amber in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.ambermem%2Famber/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"amber": {
"type": "http",
"url": "https://mcp.ambermem.com/"
}
}
}README
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 - once it is connected and the two required settings below are on.
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
Cursor
Add to ~/.cursor/mcp.json (or %USERPROFILE%\.cursor\mcp.json on Windows):
ChatGPT
Settings → Connectors → Create → URL: https://mcp.ambermem.com
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
VS Code (GitHub Copilot)
Add to .vscode/mcp.json:
Any MCP client
URL: https://mcp.ambermem.com | Transport: Streamable HTTP | Auth: OAuth 2.1 (auto-discovered)
Required: two settings
Adding the URL is not enough on its own. Without these two settings, most assistants use Amber only when you explicitly say "remember this", and their built-in memory quietly takes everything else, so Amber stays nearly empty.
-
Add this to your AI's custom instructions / personal preferences (Claude personal preferences, ChatGPT custom instructions, Cursor rules, etc.):
Whenever something worth remembering comes up - a life event, a decision, a preference, something I learned or realized, or anything about who I am - save it to Amber (my memory) without asking. Treat normal conversation as a source of memories, not only when I say "remember this".
-
Keep Amber's tools always available. In your client's tool or MCP settings, set Amber to "always on" rather than on-demand, so your AI can reach it the instant a memory comes up.
How It Works
- You talk to your AI normally. Amber stores important facts in the background.
- Next conversation, your AI searches Amber automatically when context would help.
- Memory improves over time. The more you use it, the better it gets.
Two settings, once. No tagging. No manual organization.
What Makes Amber Different
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; a store with fewer is rejected), 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
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
- Report a problem: ambermem.com/report. No account needed, and it works even when your client cannot connect. In-session, an assistant can also call the
amber_send_feedback_to_developertool directly.
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.
Source: README.md at commit e907aa2
Tools
0Version history
13- v1.1.1439LatestNov 5, 2026
- v1.1.1438Nov 3, 2026
- v1.1.1430Oct 11, 2026
- v1.1.1427Oct 11, 2026
- v1.1.1423Oct 6, 2026
- v1.1.1405Oct 1, 2026
- v1.1.1404Sep 29, 2026
- v1.1.1402Sep 27, 2026
- v1.1.1400Sep 27, 2026
- v1.1.1399Sep 27, 2026
- v1.1.1398Sep 27, 2026
- v1.1.1384Sep 23, 2026
- v1.1.1295Sep 16, 2026
Score
85% of the applicable checks met
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- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts