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  3. MemoFS MCP Server
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Health: ActiveRecent health check succeeded.Last checked 8/27/2026, 3:31:38 AM

MemoFS MCP Server

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 Repository5 GitHub StarsTotal stargazers on GitHub for the source repository (5 stars).Visit Website

Persistent memory and virtual filesystem MCP server for AI agents.

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": {
    "memofs-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "memofs"
      ]
    }
  }
}

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

Install Directory Badge Claim listing Alternatives🧠 More in Knowledge & Memory

Documentation Overview

MemoFS Logo

MemoFS

Open-source, file-first memory runtime for AI agents.

npm version Β  Project status: Beta Β  CI status Β  Docs Β  MIT License


What is MemoFS?

File-first memory runtime for AI agents. Store, recall, and synchronize memory using plain files on disk β€” local-first by default, with optional cloud sync.

Most AI memory systems are database-first, vendor-locked, hard to inspect, and hard to version. MemoFS inverts that: your agent's memory lives as Markdown and JSONL under a .memofs/ directory you can cat, git diff, and roll back.

text
.memofs/
β”œβ”€β”€ config.json       # Workspace settings and engine routing
β”œβ”€β”€ manifest.json     # Asset registry tracking and hashes
β”œβ”€β”€ memory/
β”‚   β”œβ”€β”€ core.md       # Durable, project-wide facts (Markdown)
β”‚   └── notes.md      # Timestamped notes and logs (Markdown)
β”œβ”€β”€ events/
β”‚   └── conversations.jsonl # Chronological interactions for recall
β”œβ”€β”€ graph/
β”‚   β”œβ”€β”€ nodes.jsonl   # Entities extracted from memory
β”‚   └── edges.jsonl   # Relational connections
β”œβ”€β”€ archive/          # Cold storage for deprecated memories
β”‚   └── <id>.json     # Full-fidelity archived memory records
└── snapshots/
    └── snap_123.json # Versioned restore checkpoints

Quick Start

Reach first success in under a minute. No API keys, no database setup, no cloud required.

Terminal
npm install @memofs/core
server.ts
import { MemoFS } from "@memofs/core";
import { createNodeFsMemoryStore } from "@memofs/core/node-fs";

// Initialize a Node.js filesystem-backed memory store
const store = createNodeFsMemoryStore({
  rootDir: ".",
});

// Create the unified client
const memo = new MemoFS({
  store,
  projectId: "my-app",
  mode: "local",
});

// Read project-wide core memory (core.md)
const core = await memo.core.read();
console.log(core);

// Record a durable note (notes.md)
await memo.notes.record({
  content: "User prefers TypeScript with ESM modules.",
  kind: "preference",
});

// Recall works offline (lexical BM25 + fuzzy matching) with zero config
const hits = await memo.recall("TypeScript configuration");

To upgrade to semantic/vector search, plug in an embedder adapter like OpenAI (@memofs/adapter-openai) or Voyage AI (@memofs/adapter-voyage). For zero-API-key local vector search, enable the ONNX embedder (@memofs/adapter-transformers) to run embeddings completely in-process.

To connect your coding agent (Cursor, Claude Code, etc.), use the stdio-compatible @memofs/mcp-server.


Architecture

text
Your App / Agent / MCP client
        β”‚
        β–Ό
    MemoFS   (local-first runtime)
      β”œβ”€ .read() / .write() / .recall()
      β”œβ”€ .snapshot.create() / .restore()
      β”œβ”€ AgentFS  (lease-locking & virtual paths)
      └─ .sync *  (Cloud sync pushes and pulls)

   read() / write() / recall() β€” core client methods
        β”‚
        β–Ό
   .memofs/   (plain files on disk)
     β”œβ”€ memory/core.md      β”œβ”€ memory/notes.md
     β”œβ”€ events/*.jsonl      β”œβ”€ graph/{nodes,edges}.jsonl
     └─ snapshots/  manifest.json
        β”‚   git-friendly, inspectable, versionable
        β–Ό   (optional)
   MemoFS Cloud

The runtime resolves configuration from constructor options β†’ env vars β†’ .memofs/config.json. Three runtime modes are supported: local (filesystem-only, default), hybrid (local + cloud sync with read/write policies), and memory (in-memory volatile, ideal for tests).

Memory Intelligence

  • Code anchoring & drift detection β€” bind memories to source files; stale memories are rank-demoted at recall time when anchored code changes.
  • Memory decay floors β€” kind-specific expiry thresholds (30–365 days) transition old memories to unverified status.
  • Semantic GC β€” archive deprecated memories to cold storage; restore on demand via memofs restore.
  • Session outcomes β€” success / failure / aborted outcome on complete() governing durable memory promotion and workspace cleanup.

Packages

MemoFS is structured as a monorepo containing 15 published public packages under the @memofs/ scope. The CLI ships as @memofs/cli and installs the memofs command.

Core Engine & Servers

PackagePurpose
@memofs/coreCore runtime, virtual AgentFS, graph engine, and hybrid recall router.
@memofs/cliCLI tool for local and cloud memory workflows (npx memofs).
@memofs/serverSelf-hostable, OSS-deployable memory server for Node and Workers.
@memofs/mcp-serverModel Context Protocol server exposing memory tools to AI agents.
@memofs/connectorsLocal ingestion framework plugins (Notion, GitHub).
@memofs/json-rpcMessage schemas and validation for JSON-RPC 2.0.

Providers & Adapters

PackagePurpose
@memofs/adapter-ai-sdkVercel AI SDK integration, runtime bridges, and tool definitions.
@memofs/adapter-openaiOpenAI embeddings adapter.
@memofs/adapter-voyageVoyage AI embedder and reranker adapter.
@memofs/adapter-transformersONNX local embedder (Transformers.js) for zero-API-key hybrid recall.
@memofs/adapter-workers-aiCloudflare Workers AI graph extractor adapter.
@memofs/adapter-r2Cloudflare R2 Blob storage adapter.
@memofs/adapter-tursoTurso / libSQL metadata store adapter.

Development Tooling

PackagePurpose
@memofs/testingShared contract tests, mocks, fakes, and fixtures.
@memofs/benchmark-kitBenchmark workloads and runners.

Open Source vs. MemoFS Cloud

The core runtime is open source (MIT) and fully functional locally. You do not need a cloud account to run MemoFS.

MemoFS Cloud is the memory plane for your agents: it keeps every machine, teammate, and agent on the same memory, and gives you a dashboard to see and govern it.

FeatureOpen source (this repo)MemoFS Cloud
Local file-first memoryβœ…βœ…
CLI + stdio MCP serverβœ…βœ…
All adapters (OpenAI, Voyage, etc.)βœ…βœ…
Hosted sync (keep memory in sync)βœ… clientβœ… hosted
Team workspaces & access controlβ€”βœ… available
Memory dashboard (explore, consolidate)β€”βœ… available
Hosted managed MCP endpointβ€”βœ… available (Pro+)
Managed runtime (memory API over HTTPS)β€”Soon

Join the Cloud waitlist β†’


Repository Structure

text
memofs/
β”œβ”€β”€ apps/
β”‚   └── docs/         # VitePress documentation (docs.memofs.dev)
β”œβ”€β”€ packages/         # 15 published @memofs/* packages
β”œβ”€β”€ tooling/          # Private @repo/* workspace build packages
β”œβ”€β”€ benchmarks/       # Workspace benchmarking suite
β”œβ”€β”€ examples/         # Runnable examples
└── package.json

Workspace Commands

Run these command tasks from the repository root:

bash
# Install all dependencies
pnpm install

# Build all packages and applications
pnpm build

# Run TypeScript compilation checks
pnpm typecheck

# Run unit tests across all packages
pnpm test

# Run code style checks (Biome)
pnpm format-and-lint

# Fix linting and formatting issues automatically
pnpm format-and-lint:fix

# Build documentation locally
pnpm docs:build

Contributing

See CONTRIBUTING.md for details on formatting, testing, and pull requests. For roadmap targets, see ROADMAP.md.

For security reports, refer to SECURITY.md β€” do not open public issues for security vulnerabilities.


License

MIT. See LICENSE.

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Reviews

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Frequently Asked Questions about MemoFS MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "memofs-mcp-server": { "command": "npx", "args": ["-y", "MemoFS MCP Server"] } }

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Technical Specs & Signals

Category🧠Knowledge & Memory
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
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 stars5
GitHub Star CountTotal stargazers on GitHub representing community popularity (5 stars).
Last commit6d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 20, 2026
40Quality signal: Fair Β· 40/100How 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 & tools15/30
Adoption & activity5/15
Community engagement0/10

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