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VaultMind

by ik123a

🔐 VaultMind

Offline-First AI Environment for Sensitive Code

VaultMind is the first open-source policy decision point for AI coding agents that runs completely offline. It combines a lightweight secure MCP gateway, an immutable audit trail, and a software supply chain explorer — so finance, defense, and regulated-industry teams can finally use AI coding tools without sending secrets to the cloud.

MIT License Tests

VaultMind Real-time Security Dashboard


❓ Why VaultMind?

Every major AI coding client — Claude Desktop, Cursor, VS Code with Copilot — streams every interaction to external cloud services. Teams working in finance, defense, and regulated industries are blocked from these tools entirely because their secrets cannot leave their security perimeter.

No existing solution bridges the gap between AI productivity and enterprise security. VaultMind does.

flowchart TD
    subgraph Clients ["AI Clients (Local)"]
        Claude[Claude Desktop]
        Cursor[Cursor]
        VSCode[VS Code]
    end

    subgraph Gateway ["VaultMind Gateway (Local Proxy)"]
        VMGateway["vaultmind-gateway"]
    end

    subgraph Security ["Security Engine"]
        PolicyEngine["Policy Engine<br>(allow/deny/network rules)"]
        PolicyYaml["policy.yaml"]
    end

    subgraph Logs ["Immutable Audit Trail"]
        SQLite[("SQLite Audit Trail<br>(vault.db)")]
        JSONL["JSONL Event Log"]
    end

    subgraph Sandbox ["Isolation"]
        VMSandbox["Process Sandbox<br>(FS ACLs & Net Block)"]
    end

    %% Flow of Tool Calls
    Claude & Cursor & VSCode -->|MCP stdio/SSE| VMGateway
    VMGateway -->|1. Request Verdict| PolicyEngine
    PolicyYaml -.->|Defines Rules| PolicyEngine
    PolicyEngine -->|2. allow/deny/error| VMGateway
    VMGateway -->|3. Log Event| SQLite & JSONL
    VMGateway -->|4. Execute if allowed| VMSandbox

    %% Styling
    classDef client fill:#111827,stroke:#3b82f6,stroke-width:2px,color:#f3f4f6;
    classDef gw fill:#1e1b4b,stroke:#6366f1,stroke-width:2px,color:#f3f4f6;
    classDef engine fill:#064e3b,stroke:#10b981,stroke-width:2px,color:#f3f4f6;
    classDef audit fill:#7c2d12,stroke:#f97316,stroke-width:2px,color:#f3f4f6;
    classDef sand fill:#581c87,stroke:#a855f7,stroke-width:2px,color:#f3f4f6;

    class Claude,Cursor,VSCode client;
    class VMGateway gw;
    class PolicyEngine,PolicyYaml engine;
    class SQLite,JSONL audit;
    class VMSandbox sand;

Related MCP server: SentinelGate

🚀 Quick Start (3 minutes)

# Install from source
git clone https://github.com/your-org/vaultmind.git
cd vaultmind
npm install

# Create a policy file
npx tsx packages/cli/src/index.ts init

# Start recording a session
npx tsx packages/cli/src/index.ts record -- echo "hello, air-gapped world"

# Analyze audit logs
npx tsx packages/cli/src/index.ts analyze

# Generate policy from audit log
npx tsx packages/cli/src/index.ts policy generate

# Start the gateway server
npx tsx packages/cli/src/index.ts gateway start --port 3080

Then open http://127.0.0.1:3080 for the live dashboard.


✨ Key Features

1. Offline-First MCP Proxy

Works without internet. Intercepts every tool call from AI agents (read, write, exec, network) and evaluates them against a local policy.yaml.

# policy.yaml
version: "1.0"
rules:
  - id: "allow-docs"
    allow:
      - "read(docs/*)"
      - "read(*.md)"
  - id: "block-src-writes"
    deny:
      - "write(src/*)"
      - "write(lib/*)"
  - id: "network-off"
    network: "off"
default_action: "deny"

2. Immutable Audit Trail

Every tool call is logged — JSONL for fast streaming, SQLite for structured queries. Each event carries:

  • Agent (claude, cursor, vscode)

  • Tool called

  • Parameters passed

  • Verdict — allow / deny / error

  • Reason — which policy rule applied

3. Policy-as-Code

Your security policy lives in policy.yaml. Store it in Git, review it in PR, and never guess what an AI agent can access.

4. Auto Policy Generation

Run vaultmind policy generate — VaultMind analyzes all past audit logs and produces a policy.yaml skeleton that captures observed safe patterns. Only requires final human approval.

5. Sandbox Execution

Commands run through a sandbox that restricts filesystem access and blocks network calls. Resource limits (timeout, allowed paths) are configurable.

6. Dependency Memoization

vaultmind deps memo scans your package-lock.json, go.sum, or Cargo.lock and builds a dependency DAG. vaultmind deps verify checks it against local vulnerability data.


📦 Packages

Package

Description

@vaultmind/vm-core

Shared types, policy engine, audit logger, SQLite DB

@vaultmind/vm-sandbox

Process sandbox with path ACLs and network blocking

@vaultmind/mcp-gateway

MCP proxy + HTTP/WebSocket API server

@vaultmind/cli

CLI entrypoint (`vaultmind init

@vaultmind/sdk

Programmatic SDK + fluent createPolicyHelper()


🗄️ Database Schema

State is stored in a lightweight SQLite file (.vaultmind/vault.db):

CREATE TABLE sessions (
    id TEXT PRIMARY KEY,
    start_time INTEGER NOT NULL,
    policy_hash TEXT,
    status TEXT CHECK(status IN ('recording','analyzing','done'))
);

CREATE TABLE events (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    session_id TEXT NOT NULL,
    ts INTEGER NOT NULL,
    agent TEXT NOT NULL,
    tool TEXT NOT NULL,
    params TEXT NOT NULL,       -- JSON
    verdict TEXT CHECK(verdict IN ('allow','deny','error')),
    reason TEXT
);

🔌 API

Method

Path

Description

POST

/v1/sessions

Create new audit session → { sessionId, wsUrl }

GET

/v1/sessions/:id/events

Paginated event history

POST

/v1/sessions/:id/stop

End session + final report

POST

/v1/policies/validate

Validate a policy.yaml

GET

/v1/stats

Server status + connection counts

WS

/v1/stream

Real-time event stream


💻 SDK Usage

import { createPolicyHelper } from '@vaultmind/sdk';
import { VaultMindClient } from '@vaultmind/sdk';

// Fluent policy builder
const policy = createPolicyHelper()
  .allow('read(docs/*)')
  .deny('write(src/*)')
  .network('off')
  .build();

// Programmatic client
const client = new VaultMindClient();
await client.startSession();
const result = await client.evaluateCall({
  tool: 'read_file',
  args: {},
  action: 'read',
  path: 'docs/guide.md',
});
console.log(result.verdict); // 'allow' | 'deny'
console.log(client.getStats()); // { total, allowed, denied, errors }
await client.endSession();

🐳 Docker & Kubernetes Deployment

Running with Docker Compose

You can run the VaultMind gateway and dashboard in a containerized environment:

  1. Build and start the container:

    docker compose up -d --build
  2. Access the dashboard: Open http://localhost:3080 in your browser.

The SQLite audit log database is persisted using a named volume (vaultmind-data).

Deploying to Kubernetes

Kubernetes manifests are located in the k8s/ directory.

  1. Apply the persistent volume, deployment, and service:

    kubectl apply -f k8s/deployment.yaml
  2. Access the service: The gateway runs as a ClusterIP service. Port-forward to access it locally:

    kubectl port-forward svc/vaultmind-service 3080:3080

📁 Project Structure

vaultmind/
├── packages/
│   ├── vm-core/           # Shared types, policy engine, DB, logger
│   ├── vm-sandbox/        # Execution sandbox
│   ├── mcp-gateway/       # MCP proxy + REST/WS server
│   ├── cli/               # CLI entrypoint
│   └── sdk/               # TypeScript SDK
├── dashboard/
│   └── src/index.html     # Real-time monitoring dashboard
├── tests/                 # Integration & policy tests
├── docs/                  # MkDocs material
├── examples/              # Docker, Nix, systemd units
└── policy.yaml            # Default security policy

⚠️ Known Limitations

  • No kernel sandbox on Windows: True seccomp/Landlock requires Linux + Rust. The current MVP provides policy-level process isolation. Linux sandbox is planned for Month 2.

  • Network blocking is heuristic: Environment-variable based; kernel-level network namespace isolation requires Rust port.

  • SDK in early preview: API surface may evolve as we add plugin support.


🤝 Contributing

First-time contributors welcome! Check out CONTRIBUTING.md for setup instructions.

Good first issues:

  • Add more CLI flags

  • Extend YAML policy syntax

  • Write additional unit tests

  • Improve error messages


📄 License

MIT © VaultMind contributors

Secure your AI. Keep your secrets on-prem.

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