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MCP server · Security

Openrecall

Open-source, self-hostable, zero-knowledge memory for AI agents. End-to-end encrypted — the server stores only ciphertext and can't read your agent's memory. Works with any MCP agent .

Unclaimed MIT security
44Fair

Scored 2 hours ago · breakdown

About Openrecall

Openrecall is an MCP server published by Twigpine in the Security category: open-source, self-hostable, zero-knowledge memory for AI agents. End-to-end encrypted — the server stores only ciphertext and can't read your agent's memory. Works with any MCP agent .

The repository has 60 stars and 13 forks, with the last commit 3 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/Twigpine/openrecall

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository just now. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

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README

╭──────────────────────────────────────────────────────────────────────╮
│  ● ● ●            memlawb — ~/memory                          ⌘ + T    │
├──────────────────────────────────────────────────────────────────────┤

    ███╗   ███╗ ███████╗ ███╗   ███╗ ██╗      █████╗ ██╗    ██╗ ██████╗
    ████╗ ████║ ██╔════╝ ████╗ ████║ ██║     ██╔══██╗██║    ██║ ██╔══██╗
    ██╔████╔██║ █████╗   ██╔████╔██║ ██║     ███████║██║ █╗ ██║ ██████╔╝
    ██║╚██╔╝██║ ██╔══╝   ██║╚██╔╝██║ ██║     ██╔══██║██║███╗██║ ██╔══██╗
    ██║ ╚═╝ ██║ ███████╗ ██║ ╚═╝ ██║ ███████╗██║  ██║╚███╔███╔╝ ██████╔╝
    ╚═╝     ╚═╝ ╚══════╝ ╚═╝     ╚═╝ ╚══════╝╚═╝  ╚═╝ ╚══╝╚══╝  ╚═════╝

      zero-knowledge agent memory · the host cannot read it

    $ memlawb push ./memories user:me
      ⠿ scan secrets    ✓  0 leaked
      ⠿ encrypt  12     ✓  aes-256-gcm · key derived locally, never sent
      ⠿ delta sync   →  memory.gitlawb.com
        ↑ 3 changed   · 9 unchanged   ✓ server saw only ciphertext
    $ ▮

╰──────────────────────────────────────────────────────────────────────╯

CI npm Bun

Open-source, self-hostable, zero-knowledge agent memory. The memory layer of the agent stack — give any agent durable memory it can carry across sessions, stored on a server that cannot read it.

Part of the Gitlawb stack: opengateway (inference) · node (code) · openclaude (agent) · memlawb (memory).


Why

Agents forget everything between sessions. The existing fix — syncing memory to a vendor's cloud — means a third party can read everything your agent learns about you and your code. memlawb is the alternative:

  • Zero-knowledge. Memory is encrypted on your machine before upload. The server stores and serves only ciphertext (AES-256-GCM, key derived from your passphrase). We host it but we cannot read it.
  • Self-hostable. One binary, pluggable storage (filesystem, S3/Tigris/R2, more coming). Run it on our cloud or your own.
  • Provider-neutral. A built-in MCP server gives Claude Code, Cursor, opencode, and SDK agents memory tools (memory_save/recall/search/ list/delete); a simple sync API any agent can speak is underneath.
  • Delta sync. Deterministic encryption means only changed entries upload, even though the server never sees plaintext.
  • Secret-aware. A client-side scanner refuses to upload entries that look like they contain live credentials — before they're ever encrypted or sent.

How it works

agent / CLI / MCP
   │   plaintext in, plaintext out
   ▼  [ client/crypto.ts — encrypt with key derived from your passphrase ]
   │   ciphertext
   ▼
memlawb server  (crypto-blind — only ever sees ciphertext)
   ▼
BlobStore: fs | s3 (Tigris/R2/AWS) | ipfs/git (planned)

The server is crypto-blind: it does delta sync, dedup, and storage entirely over ciphertext. The encryption key never leaves the client.

Quick start (self-host)

bun install

# 1. run the server (filesystem storage, single-user open mode)
ALLOW_UNAUTHENTICATED=true STORE=fs DATA_DIR=./data bun run src/index.ts

# 2. sync a memory directory, end-to-end encrypted
export MEMLAWB_URL=http://localhost:8080
export MEMLAWB_PASSPHRASE='your-zero-knowledge-passphrase'   # never sent to the server

bun run bin/memlawb.ts push ./my-memories user:me   # encrypt + upload
bun run bin/memlawb.ts pull ./restored      user:me   # download + decrypt

What lands on the server is ciphertext — grep your data dir for any plaintext and you'll find nothing.

⚠️ Zero-knowledge means no recovery. If you lose your passphrase, the host cannot help you — the data is unreadable to everyone but the key holder. Back up your passphrase.

Use as a library

import { MemlawbClient } from '@gitlawb/memlawb'

const memory = new MemlawbClient({
  url: 'https://memory.gitlawb.com',
  apiKey: process.env.MEMLAWB_API_KEY,
  passphrase: process.env.MEMLAWB_PASSPHRASE, // stays local
})

await memory.push('user:me', { 'MEMORY.md': '# what I know about the user...' })
const { entries } = await memory.pull('user:me')

Use from any agent (MCP)

memlawb ships an MCP server in the same package, so any MCP-capable agent gets durable encrypted memory by adding one config block. Add to your client's MCP config (Claude Code shown):

{
  "mcpServers": {
    "memlawb": {
      "command": "bunx",
      "args": ["-y", "@gitlawb/memlawb", "mcp"],
      "env": {
        "MEMLAWB_URL": "https://memory.gitlawb.com",
        "MEMLAWB_API_KEY": "mk_live_...",
        "MEMLAWB_PASSPHRASE": "your-zero-knowledge-passphrase",
        "MEMLAWB_NAMESPACE": "user:me"
      }
    }
  }
}

The MCP server runs locally, holds the passphrase, and encrypts/decrypts in-process — so the remote server still only ever sees ciphertext. Tools:

Tool Purpose
memory_save(key, content) persist a durable fact
memory_recall(query) rank stored memories by relevance (local)
memory_search(query) literal keyword/substring search
memory_list() list entry keys
memory_delete(key) remove an entry

For self-host, omit MEMLAWB_API_KEY and point MEMLAWB_URL at your server.

Teaching the agent to use memory

Tools alone don't make an agent use memory well — it needs the discipline (recall before answering, save only durable facts, don't duplicate). That lives in one place, skills/memlawb-memory/SKILL.md:

  • Claude Code: install it as a skill (drop the folder in your skills dir) and the agent reads it when memory is relevant.
  • Any MCP client: the server exposes the same text as the memory_guide prompt and a short version in its startup instructions, so Cursor / opencode / SDK agents get the protocol without a separate file.

API

All bodies are ciphertext; the server validates sizes/hashes without decrypting.

Method Route Purpose
GET /health liveness + active store
GET /api/memory/:ns full data (ciphertext entries + checksums)
GET /api/memory/:ns?view=hashes per-key checksums only (for delta)
PUT /api/memory/:ns delta upsert { entries, deletions? }
DELETE /api/memory/:ns?key=<entryKey> remove one entry

A namespace (user:me, repo:owner/name, agent:intern) is the unit of scoping. Entry keys mirror the memdir layout (MEMORY.md, feedback/x.md).

Configuration

See .env.example. Key knobs: STORE (fs|s3), ALLOW_UNAUTHENTICATED, STATIC_API_KEYS / Supabase auth, and per-namespace size/count limits.

Security model

  • Encryption: AES-256-GCM; key = scrypt(passphrase, salt=sha256("memlawb:"+namespace)).
  • Integrity: the entry key is GCM additional-authenticated-data, so a blob is bound to its key and can't be swapped or replayed.
  • Determinism: synthetic-IV nonce enables delta sync; the only leak is whether two entries are byte-identical.
  • Defense in depth: a client-side secret scanner runs before encryption and (by default) blocks uploads containing live-looking credentials. Override with MEMLAWB_SCAN=warn|off.
  • Tenancy: each API key maps to an owner who controls exactly their own user:<owner> namespace subtree (strict segment match, no substring escapes); per-account quotas and per-owner rate limits are enforced server-side.
  • Upgrade path: a version byte on every blob allows migrating to XChaCha20-Poly1305 + Argon2id without breaking existing data.

See PLAN.md for the full roadmap (MCP server, openclaude drop-in, git-backed signed history, sharing/forking, billing).

Status

Beta. The crypto-blind server, client crypto, CLI, MCP server, secret scanner, per-account quotas, and rate limiting are implemented and tested (bun test — 50 tests). Hosted free beta at memory.gitlawb.com. Next: self-service console for API keys, the openclaude native drop-in, and the Postgres index for horizontal scale (the hosted beta runs a single machine deliberately — see PLAN.md §7).

Development

bun install
bun test            # run the suite
bun run type-check  # tsc --noEmit
bun run check       # biome lint + format check

For contributors, the codebase splits cleanly along the trust boundary:

client/   the zero-knowledge client — encrypts here; holds the key
src/      the crypto-blind server — only ever sees ciphertext
src/mcp/  the MCP server (memory tools) over the client
bin/      the CLI (push | pull | mcp | serve)

The cardinal rule: plaintext, passphrases, and derived keys never reach the server. See CONTRIBUTING.md for the full guide.

Contributing

Issues and PRs welcome. Please read CONTRIBUTING.md (dev setup, design principles, Conventional Commits, DCO sign-off) and our Code of Conduct.

Security

memlawb is security software. Please report vulnerabilities privately — do not open a public issue. See SECURITY.md for the process and the threat model.

License

Released under the MIT License. Contributions are accepted under the same license (see CONTRIBUTING.md).

README fetched from the repository just now. The original is authoritative.

Questions

About Openrecall

How do I install Openrecall?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Openrecall safe to use with an AI agent?

Its trust score is 44 out of 100 (fair). It passes 5 of the 5 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Openrecall still maintained?

Yes — the last commit was 3 months ago. The repository has 60 stars and 13 forks and 8 open issues.