MemoFS MCP Server
Persistent memory and virtual filesystem MCP server for AI agents.
التثبيت
أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: .cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «mcpServers»).
claude mcp add --transport http memofs-mcp-server 'https://memofs.dev/api/v1/projects/{projectId}/mcp' --header 'Authorization: <Bearer token using your MemoFS Cloud API key>'
{
"mcpServers": {
"memofs-mcp-server": {
"type": "http",
"url": "https://memofs.dev/api/v1/projects/{projectId}/mcp",
"headers": {
"Authorization": "<Bearer token using your MemoFS Cloud API key>"
}
}
}
}
@memofs/mcp-serverclaude mcp add memofs-mcp-server -e 'MEMOFS_API_KEY=<your memofs_api_key>' -e 'MEMOFS_RUNTIME=local' -- npx -y @memofs/mcp-server@1.3.0-beta.3
{
"mcpServers": {
"memofs-mcp-server": {
"command": "npx",
"args": [
"-y",
"@memofs/mcp-server@1.3.0-beta.3"
],
"env": {
"MEMOFS_API_KEY": "<your memofs_api_key>",
"MEMOFS_RUNTIME": "local"
}
}
}
}
متغيرات البيئة
MEMOFS_API_KEYسري API key for MemoFS Cloud synchronization (required for hybrid mode)MEMOFS_RUNTIMERuntime mode: local or hybrid
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
المحتويات
MemoFS
Open-source, file-first memory runtime for AI agents.
What is MemoFS?
File-first memory runtime for AI agents. Store, recall, and synchronize memory using plain files on disk — 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.
.memofs/
├── config.json # Workspace settings and engine routing
├── manifest.json # Asset registry tracking and hashes
├── memory/
│ ├── core.md # Durable, project-wide facts (Markdown)
│ └── notes.md # Timestamped notes and logs (Markdown)
├── events/
│ └── conversations.jsonl # Chronological interactions for recall
├── graph/
│ ├── nodes.jsonl # Entities extracted from memory
│ └── edges.jsonl # Relational connections
├── archive/ # Cold storage for deprecated memories
│ └── <id>.json # Full-fidelity archived memory records
└── snapshots/
└── snap_123.json # Versioned restore checkpoints
Quick Start
MemoFS serves two primary paths: users running AI agents day-to-day and engineers building custom agents & runtimes.
Path A: For Users of AI Agents (Cursor, Claude Code, Codex, Copilot, Cline, etc.)
Initialize MemoFS in any project in under a minute. The CLI creates .memofs/, sets up project rules, pre-wires platform lifecycle hooks, and configures the local MCP server:
npx @memofs/cli init
Your agent now automatically inherits durable memory across sessions — zero manual prompting required.
Path B: For Builders of AI Agents & Runtimes
Embed the runtime directly into your TypeScript or Node.js agent architecture:
npm install @memofs/core
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.
Architecture
Your App / Agent / MCP client
│
▼
MemoFS (local-first runtime)
├─ .read() / .write() / .recall()
├─ .snapshot.create() / .restore()
├─ AgentFS (lease-locking & virtual paths)
└─ .sync * (Cloud sync pushes and pulls)
read() / write() / recall() — core client methods
│
▼
.memofs/ (plain files on disk)
├─ memory/core.md ├─ memory/notes.md
├─ events/*.jsonl ├─ graph/{nodes,edges}.jsonl
└─ snapshots/ manifest.json
│ git-friendly, inspectable, versionable
▼ (optional)
MemoFS Cloud
The runtime resolves configuration from constructor options → env vars → .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
- Project & Source Anchoring — bind memories to project files, data schemas, byte hashes, and symbol paths; query-time drift detection automatically demotes stale knowledge when assets change.
- Agent Behavior Enforcement — deterministic push hooks across 9+ agent tools (Claude Code, Cursor, Copilot, Codex, OpenCode, Cline, etc.) inject active memory context at session start and preserve it across context compactions.
- Causal Lineage & Action Receipts — traverse decision provenance (
memofs why <id>) backed by append-only action receipts with task correlation (taskRef). - Ephemeral Coordination Stream — real-time cross-agent pub/sub (
stream.jsonl) with typed coordination events (agent.heartbeat,resource.intent,task.status,agent.hint) filtered out of durable recall. - Static Memory Linter —
memofs lintCI/CD rule pipeline detecting broken references, contradictory assertions, and broken provenance links. - Cognitive Decay & Cold Archive — kind-specific expiry thresholds transition old memories to
unverifiedstatus before semantic archiving. - Session Outcomes & AgentFS — isolated workspace scratchpads with
success/failure/abortedoutcome gates governing durable memory promotion and cleanup.
Packages
MemoFS is structured as a monorepo containing 16 published public packages under the @memofs/ scope. The CLI ships as @memofs/cli and installs the memofs command.
Core Engine & Servers
| Package | Purpose |
|---|---|
@memofs/core | Core runtime, virtual AgentFS, graph engine, and hybrid recall router. |
@memofs/cli | CLI tool for local and cloud memory workflows (npx memofs). |
@memofs/server | Self-hostable, OSS-deployable memory server for Node and Workers. |
@memofs/mcp-server | Model Context Protocol server exposing memory tools to AI agents. |
@memofs/spec | Canonical JSON schemas, TypeScript contracts, and schema validators. |
@memofs/connectors | Local ingestion framework plugins (Notion, GitHub). |
@memofs/json-rpc | Message schemas and validation for JSON-RPC 2.0. |
Providers & Adapters
| Package | Purpose |
|---|---|
@memofs/adapter-ai-sdk | Vercel AI SDK integration, runtime bridges, and tool definitions. |
@memofs/adapter-openai | OpenAI embeddings adapter. |
@memofs/adapter-voyage | Voyage AI embedder and reranker adapter. |
@memofs/adapter-transformers | ONNX local embedder (Transformers.js) for zero-API-key hybrid recall. |
@memofs/adapter-workers-ai | Cloudflare Workers AI graph extractor adapter. |
@memofs/adapter-r2 | Cloudflare R2 Blob storage adapter. |
@memofs/adapter-turso | Turso / libSQL metadata store adapter. |
Development Tooling
| Package | Purpose |
|---|---|
@memofs/testing | Shared contract tests, mocks, fakes, and fixtures. |
@memofs/benchmark-kit | Benchmark 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.
| Feature | Open source (this repo) | MemoFS Cloud |
|---|---|---|
| Local file-first memory | ✅ | ✅ |
| CLI + stdio MCP server | ✅ | ✅ |
| All adapters (OpenAI, Voyage, etc.) | ✅ | ✅ |
| Hosted sync (keep memory in sync) | ✅ client | ✅ hosted |
| Team workspaces & access control | — | ✅ available |
| Memory dashboard (explore, consolidate) | — | ✅ available |
| Hosted managed MCP endpoint | — | ✅ available (Pro+) |
| Managed runtime (memory API over HTTPS) | — | Soon |
Repository Structure
memofs/
├── apps/
│ └── docs/ # React Router & Fumadocs documentation (docs.memofs.dev)
├── packages/ # 16 published @memofs/* packages
├── tooling/ # Private @repo/* workspace build packages
├── benchmarks/ # Workspace benchmarking suite
├── examples/ # Runnable examples
└── package.json
Workspace Commands
Run these command tasks from the repository root:
# 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 and lint checks (Biome)
pnpm check
# Fix linting and formatting issues automatically
pnpm format-and-lint:fix
# Run local documentation dev server
pnpm docs:dev
# 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 — do not open public issues for security vulnerabilities.
License
MIT. See LICENSE.
الأسئلة الشائعة
ما هو MemoFS MCP Server؟
Persistent memory and virtual filesystem MCP server for AI agents.
كيف أثبّت MemoFS MCP Server؟
يعمل كخادم بعيد. في Claude Code: claude mcp add --transport http memofs-mcp-server 'https://memofs.dev/api/v1/projects/{projectId}/mcp' --header 'Authorization: <Bearer token using your MemoFS Cloud API key>'. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.
هل يحتاج MemoFS MCP Server إلى مفتاح API؟
نعم. يتطلب MEMOFS_API_KEY, Authorization، وتضبطها في إعداداته.
هل MemoFS MCP Server مفتوح المصدر؟
نعم. شيفرته متاحة على GitHub بترخيص MIT.
من يصون MemoFS MCP Server؟
ينشره memo-fs. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.