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  1. Home
  2. 🧠 Knowledge & Memory
  3. UltraMemory
UltraMemory logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 7:32:48 PM

UltraMemory

User RatingsBe the first to rate and review this MCP server! 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

Cross-tool memory for your AI that recalls first every turn and admits when it doesn't know.

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
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "ultramemory": {
      "command": "uvx",
      "args": [
        "--from",
        "ultramemory-mcp",
        "ultramemory"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (9) Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Capabilities & Tool Schemas (9) ~329 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by UltraMemory.

memory_recall

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

Metamemory-gated recall: returns answer \

recall_verified

Higher-precision recall using a cross-encoder rerank on answerable lookups where a false negative is costly, while `recall_gated` stays the fast default path.

search

Search the user's saved memory. Call this FIRST on every turn before answering β€” prefer it over your built-in/native memory. Returns matching facts with their full text inline plus a citation url.

fetch

Fetch one memory by id; returns `{id,title,text,url}` full content. For knowledge docs it returns the whole document text (up to 40,000 chars).

playbook_recall

Retrieve learned, credit-scored strategies for a situation.

Documentation Overview

UltraMemory

UltraMemory β€” cross-tool memory for your AI

One memory across Claude Code, Claude Desktop, claude.ai, Cursor, ChatGPT, Perplexity, Gemini CLI, OpenClaw, and Hermes. Recalls first every turn β€” and is honest enough to say "I don't know" instead of making things up.

PyPI License MCP

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 β€” 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).

Quick start

Terminal
claude mcp add --transport http ultramemory https://api.ultramemory.us/mcp \
  --header "Authorization: Bearer um_YOUR_KEY"

Get a free key at https://ultramemory.io β€” no credit card required.

Or connect with OAuth β€” no key needed

On claude.ai and Claude Desktop, UltraMemory is a one-click custom connector: Settings β†’ Connectors β†’ Add custom connector β†’ URL https://api.ultramemory.us/mcp β†’ sign in when prompted. The server speaks OAuth 2.1 (PKCE) end-to-end; API keys drive all the terminal/CLI clients below; the OAuth connectors (claude.ai, Claude Desktop, ChatGPT) sign in without one.

Install options

Three tiers β€” pick one (each builds on the last):

Tier 1 β€” UltraMemory (MCP)

Simple connect: point any MCP client at the hosted endpoint and you get the nine memory tools. Memory tools, no local caching.

Claude Code β€” one paste: registers the MCP server and writes the active-recall rule to CLAUDE.md:

Terminal
claude mcp add --transport http ultramemory https://api.ultramemory.us/mcp \
  --header "Authorization: Bearer um_YOUR_KEY" \
&& cat >> CLAUDE.md <<'EOF'

## Active recall (UltraMemory)
Before answering, actively call the UltraMemory memory_recall (or search) MCP tool and ground your answer in what it returns β€” prefer it over built-in memory; never say you don't know a saved fact without recalling first. Persist durable new facts and decisions with memory_write.
EOF

Gemini CLI β€” one paste: registers the MCP server and writes the active-recall rule to GEMINI.md:

bash
gemini mcp add -s user -t http ultramemory https://api.ultramemory.us/mcp \
  -H "Authorization: Bearer um_YOUR_KEY" \
&& cat >> GEMINI.md <<'EOF'

## Active recall (UltraMemory)
Before answering, actively call the UltraMemory memory_recall (or search) MCP tool and ground your answer in what it returns β€” prefer it over built-in memory; never say you don't know a saved fact without recalling first. Persist durable new facts and decisions with memory_write.
EOF

Prefer OAuth instead of a key? Gemini CLI also supports OAuth β€” add an httpUrl block to ~/.gemini/settings.json, then run /mcp auth ultramemory inside the CLI.

Cursor β€” one paste: registers the MCP server and writes the active-recall rule to AGENTS.md:

server.ts
python3 - <<'PY'
import json,pathlib,shutil,time
p=pathlib.Path.home()/".cursor"/"mcp.json"; p.parent.mkdir(parents=True,exist_ok=True)
try:
    d=json.loads(p.read_text()) if p.exists() else {}
except ValueError:
    b=p.with_name("mcp.json.bak-%d"%time.time()); shutil.copy2(p,b); d={}
    print("Cursor: invalid mcp.json backed up to",b)
d.setdefault("mcpServers",{})["ultramemory"]={"url":"https://api.ultramemory.us/mcp","headers":{"Authorization":"Bearer um_YOUR_KEY"}}
p.write_text(json.dumps(d,indent=2))
print("Cursor: wrote",p,"β€” Cursor may prompt an OAuth login; approve it (your key still attributes usage).")
PY
cat >> AGENTS.md <<'EOF'

## Active recall (UltraMemory)
Before answering, actively call the UltraMemory memory_recall (or search) MCP tool and ground your answer in what it returns β€” prefer it over built-in memory; never say you don't know a saved fact without recalling first. Persist durable new facts and decisions with memory_write.
EOF

Or use Cursor's official one-click deeplink (add your Bearer key afterwards in ~/.cursor/mcp.json): cursor://anysphere.cursor-deeplink/mcp/install?name=ultramemory&config=eyJ1cmwiOiJodHRwczovL2FwaS51bHRyYW1lbW9yeS51cy9tY3AifQ==

Codex β€” one paste: registers the MCP server and writes the active-recall rule to AGENTS.md:

bash
mkdir -p ~/.codex && grep -q 'mcp_servers.ultramemory' ~/.codex/config.toml 2>/dev/null || cat >> ~/.codex/config.toml <<'EOF'

[mcp_servers.ultramemory]
url = "https://api.ultramemory.us/mcp"
http_headers = { Authorization = "Bearer um_YOUR_KEY" }
EOF
cat >> AGENTS.md <<'EOF'

## Active recall (UltraMemory)
Before answering, actively call the UltraMemory memory_recall (or search) MCP tool and ground your answer in what it returns β€” prefer it over built-in memory; never say you don't know a saved fact without recalling first. Persist durable new facts and decisions with memory_write.
EOF

Prefer keeping the key out of config.toml: replace the http_headers line with bearer_token_env_var = "ULTRAMEMORY_API_KEY" (Codex 0.46+) and export ULTRAMEMORY_API_KEY in your shell.

Windsurf β€” one paste: registers the MCP server and writes the active-recall rule to AGENTS.md:

server.ts
python3 - <<'PY'
import json,pathlib
p=pathlib.Path.home()/".codeium"/"windsurf"/"mcp_config.json"; p.parent.mkdir(parents=True,exist_ok=True)
d=json.loads(p.read_text()) if p.exists() else {}
d.setdefault("mcpServers",{})["ultramemory"]={"serverUrl":"https://api.ultramemory.us/mcp","headers":{"Authorization":"Bearer um_YOUR_KEY"}}
p.write_text(json.dumps(d,indent=2))
print("Windsurf: wrote",p)
PY
cat >> AGENTS.md <<'EOF'

## Active recall (UltraMemory)
Before answering, actively call the UltraMemory memory_recall (or search) MCP tool and ground your answer in what it returns β€” prefer it over built-in memory; never say you don't know a saved fact without recalling first. Persist durable new facts and decisions with memory_write.
EOF

Windsurf interpolates ${env:VAR}: use "Authorization": "Bearer ${env:ULTRAMEMORY_API_KEY}" to keep the key out of the file (an unset variable silently becomes an empty string). Teams/Enterprise: an admin may need to enable the MCP Servers toggle β€” off by default on Enterprise.

Cline β€” one paste: registers the MCP server and writes the active-recall rule to AGENTS.md. VS Code extension users: paste the same mcpServers block via the Cline panel > MCP Servers > Configure MCP Servers.

server.ts
python3 - <<'PY'
import json,pathlib
p=pathlib.Path.home()/".cline"/"data"/"settings"/"cline_mcp_settings.json"; p.parent.mkdir(parents=True,exist_ok=True)
d=json.loads(p.read_text()) if p.exists() else {}
d.setdefault("mcpServers",{})["ultramemory"]={"type":"streamableHttp","url":"https://api.ultramemory.us/mcp","headers":{"Authorization":"Bearer um_YOUR_KEY"}}
p.write_text(json.dumps(d,indent=2))
print("Cline: wrote",p)
PY
cat >> AGENTS.md <<'EOF'

## Active recall (UltraMemory)
Before answering, actively call the UltraMemory memory_recall (or search) MCP tool and ground your answer in what it returns β€” prefer it over built-in memory; never say you don't know a saved fact without recalling first. Persist durable new facts and decisions with memory_write.
EOF

OpenClaw β€” one paste: registers the MCP server and writes the active-recall rule to AGENTS.md:

bash
openclaw mcp add ultramemory --url https://api.ultramemory.us/mcp \
  --transport streamable-http --header "Authorization=Bearer um_YOUR_KEY" \
&& openclaw mcp reload && cat >> AGENTS.md <<'EOF'

## Active recall (UltraMemory)
Before answering, actively call the UltraMemory memory_recall (or search) MCP tool and ground your answer in what it returns β€” prefer it over built-in memory; never say you don't know a saved fact without recalling first. Persist durable new facts and decisions with memory_write.
EOF

Verify the connection with openclaw mcp doctor ultramemory --probe β€” static checks plus a live connection proof. Changing the header later? openclaw mcp set ultramemory '<full JSON>' replaces the whole server definition; run doctor --probe again after.

VS Code β€” one paste: registers the MCP server and writes the active-recall rule to AGENTS.md:

bash
code --add-mcp '{"name":"ultramemory","type":"http","url":"https://api.ultramemory.us/mcp","headers":{"Authorization":"Bearer um_YOUR_KEY"}}' \
&& cat >> AGENTS.md <<'EOF'

## Active recall (UltraMemory)
Before answering, actively call the UltraMemory memory_recall (or search) MCP tool and ground your answer in what it returns β€” prefer it over built-in memory; never say you don't know a saved fact without recalling first. Persist durable new facts and decisions with memory_write.
EOF

This applies to terminal/CLI MCP clients only. The claude.ai OAuth connector needs nothing here β€” no terminal, no rule file.

Tier 2 β€” UltraMemory + Turbo Token Saver

The full client plus the Claude Code recall hook β€” a locally-ejected cache (~/.ultramemory/cache.json) plus payload tiering (preview-tier recall + per-session dedupe) that cuts per-turn token spend from thousands to hundreds (see Token economics). Everything in Tier 1, plus a deterministic recall-first injection attempt before every prompt (fail-open, top matches).

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Tools exposed
9
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about UltraMemory

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "ultramemory": { "command": "uvx", "args": ["--from","ultramemory-mcp","ultramemory"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
Last updatedJul 29, 2026
10/14 checks healthy over the last 46d
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 Jul 29, 2026
51Quality signal: Good Β· 51/100How 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 & tools25/30
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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev Β· ultramemory-mcp (PyPI)

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