Recall MCP server
io.github.j4ckxyz/recall·v0.1.4·1 starsPrivate, encrypted memory about you, shared by all your AI agents. Self-hosted; runs on a Pi.
1 stars
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Recall tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-10-24 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 0 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Recall compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 88/100
- higher than 75% of 48,255 servers
- GitHub stars
- 1
- more than 65% of 28,688 servers
Install Recall in Claude Code, Cursor or VS Code
The registry entry has no remote endpoint or installable package.
What the publisher says
From the Recall repository's README, as published. We do not edit it. Read it on GitHub
Recall
A self-hosted memory of you, shared by every AI agent you use, over MCP.
network at runtime. ~13 MB RAM per agent connection. Runs on a Raspberry Pi.
- One binary, 10 MB, embedding model included. No Python, no GPU, no
never who saved them.
- Three tools: recall, remember, forget. Agents get facts and dates,
Benchmarked against BM25, other embedding models and transformer embedders.
- Fuzzy search: BM25 + static embeddings + typo repair, ~150 µs per query.
write, soft deletes with an audit trail, stdio-only unless you opt into HTTP with scoped tokens.
- Secure by default: SQLCipher-encrypted store, secret scanner on every
binary at about 65 KB, to browse, search, edit and forget memories.
- A map of your memory: a password-protected web app, built into the same
curl -fsSL https://github.com/j4ckxyz/recall/releases/latest/download/install.sh | shInstall · Let an agent install it · Use it across devices · Web app · Design · Benchmarks
Why not just use ChatGPT or Claude memory?
Both are good at what they do. They take the same basic approach as Recall: short third-person facts, a compact profile in context, search on demand. Recall uses that approach but changes who owns the memory and where it works.
Where Recall is better
Search quality is comparable. Hosted products don't publish their retrieval stack, so they can't be benchmarked directly. On our fact-retrieval benchmark, Recall's hybrid search (Recall@5 of 0.82) matches transformer embedding models such as bge-small (0.82) and MiniLM (0.85). It runs in about 150 µs with a 7.5 MB model and no ML runtime.
Where hosted memory still wins
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Recall: common questions
- Is Recall MCP server safe?
- Yes, by our scan: it is graded A (88/100). Read the Recall safety report
- Does Recall need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Recall maintained?
- The last commit was 12 days ago (2026-10-23). The latest release is v0.1.4.
- What can I use instead of Recall?
- Servers from other publishers that do the same job: Computer MCP server.
- How does Recall compare with other MCP servers?
- safety score 88/100 (higher than 75% of 48,255 servers); github stars 1 (more than 65% of 28,688 servers). Full comparison.
Alternatives to Recall
Same job from other publishers: the closest match first, then the best rated.
- ComputerA private persistent computer: files that survive between runs, a bash shell and JavaScript.not reviewedEstablishedA
