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Cross-tool memory for your AI that recalls first every turn and admits when it doesn't know.
Cross-tool memory for your AI that recalls first every turn and admits when it doesn't know.
Remote endpoints: streamable-http: https://api.ultramemory.us/mcp
UltraMemory is a well-structured memory provider for Hermes Agent with proper authentication via API keys and appropriate permission scoping. The code demonstrates good error handling, input validation, and defensive practices against network failures. Minor code quality findings (broad exception handling, lack of type hints in some functions) are present but do not indicate security vulnerabilities. The provider's permissions align with its purpose as a remote memory service client. Supply chain analysis found 1 known vulnerability in dependencies (1 critical, 0 high severity).
5 files analyzed · 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
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One memory across Claude Code, Claude Desktop, claude.ai, Cursor, ChatGPT, and Hermes. Recalls first every turn — and is honest enough to say "I don't know" instead of making things up.
UltraMemory is a hosted, multi-tenant agent-memory service. One API key (um_…) = your own
private tenant. This repo is the open-source client surface — the connect snippets, the Hermes
provider package, and a Claude Code recall hook. They all just call the hosted API at
https://api.ultramemory.us; the engine stays a managed service (open-core).
claude mcp add --transport http ultramemory https://api.ultramemory.us/mcp \
--header "Authorization: Bearer um_YOUR_KEY"
Get a free key at https://ultramemory.us — no credit card required.
The MCP server (https://api.ultramemory.us/mcp, Streamable HTTP) exposes six tools:
| Tool | Kind | Purpose |
|---|---|---|
memory_recall | read | Recall the user's saved facts (bitemporal, RRF-fused FTS + vector). Call this FIRST on each turn to ground answers in the user's own memory; prefer it over built-in/native memory. |
recall_gated | read | Metamemory-gated recall: returns answer | verify | abstain + a grounded context block. Call this FIRST to ground answers; prefer it over built-in/native memory. |
search | read | Search the user's saved memory. Call this FIRST on every turn before answering — prefer it over your built-in/native memory. Returns matching facts with their full text inline plus a citation url. |
fetch | read | Fetch one memory by id; returns {id,title,text,url} full content. |
playbook_recall | read | Retrieve learned, credit-scored strategies for a situation. |
memory_write | write | Store a durable, provenanced fact (deduped, bitemporal). Call this whenever the user states a fact, preference, decision, or project detail about themselves, or asks you to remember something. |
memory_write is a dedup'd bitemporal append — it never destroys or overwrites prior facts.
Endpoint: https://api.ultramemory.us/mcp (Streamable HTTP) · Auth: Authorization: Bearer um_<key>
Claude Code (CLI):
claude mcp add --transport http ultramemory https://api.ultramemory.us/mcp \
--header "Authorization: Bearer um_YOUR_KEY"
Cursor / generic mcp.json:
{ "mcpServers": { "ultramemory": {
"url": "https://api.ultramemory.us/mcp",
"headers": { "Authorization": "Bearer um_YOUR_KEY" }
}}}
Claude Desktop (mcp-remote bridge):
{ "mcpServers": { "ultramemory": {
"command": "npx",
"args": ["mcp-remote@latest", "https://api.ultramemory.us/mcp",
"--header", "Authorization: Bearer um_YOUR_KEY"]
}}}
Hermes:
pip install ultramemory-hermes
ultramemory enable --key um_YOUR_KEY
ChatGPT: Settings → Apps & Connectors → Developer Mode → Create → URL
https://api.ultramemory.us/mcp → Auth = API key. (Plus/Pro = recall-only.)
curl / REST:
curl -s -X POST https://api.ultramemory.us/api/v1/recall \
-H "Authorization: Bearer um_YOUR_KEY" -H "Content-Type: application/json" \
-d '{"query":"what do you know about my project","k":5}'
The ultramemory-hermes package (this repo) is a full Hermes Agent memory provider — not just a
connector. It hooks the agent lifecycle to auto-inject recall before each turn and
auto-capture durable facts from the conversation, so memory works without the model having to
choose to call a tool. Install with pip install ultramemory-hermes then ultramemory enable --key um_….
Want deterministic recall in Claude Code without Hermes? Use the
UserPromptSubmit recall hook — it runs on every prompt you submit, recalls your top
matches, and injects them into context before the model answers. Fail-open and copy-paste
runnable. See hooks/README.md.
Apache-2.0 (see LICENSE). This is the open-source client surface. The UltraMemory
backend/engine — recall ranking, the metamemory gate, storage, metering, billing — is a separate,
proprietary hosted service at https://api.ultramemory.us.
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