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@flarestudio/fcc-workbench

v1.0.20

Published

Tactical Workbench for Flare Confidential Compute (FCC). Scaffold, encrypt, and relay sovereign AI agents.

Vulnerabilities

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Links

Maintainers

izuchukwujizuchukwuj

Keywords

flarefccteesgxconfidential-computeblockchainai-agents

Readme

👻 FlareStudio FCC Workbench

Tactical infrastructure for building, testing, and deploying Sovereign AI Agents on the Flare Network.

npm version License: ISC

🔥 What is this?

The FlareStudio FCC Workbench is a high-velocity CLI toolkit designed to simplify development for Flare Confidential Compute (FCC). It takes the complexity of Trusted Execution Environments (TEEs) and turns it into a one-command developer experience.

🚀 Quick Start

Install the workbench globally:

npm install -g @flarestudio/fcc-workbench

🛠️ Commands

1. Scaffold an Agent

Generate a complete project structure including Docker stacks, TEE extensions, and Solidity contracts.

flare-fcc init

2. Fingerprint a TEE

Generate a secp256k1 key pair representing a TEE machine's hardware identity.

flare-fcc keygen

3. Forge a Secret

Encrypt your private keys or API keys using ECIES for a specific TEE machine.

flare-fcc encrypt

4. Ghost Envoy (Relay)

Directly broadcast your encrypted instructions to the Flare blockchain.

flare-fcc send

5. Verify Integrity

Validate hardware attestation reports to confirm genuine secure enclaves.

flare-fcc verify

📂 Project Structure

When you run init, the workbench generates:

  • extension/ — Your agent logic (Brain).
  • contracts/ — Production-ready InstructionSender Solidity contracts.
  • scripts/ — Deployment and management scripts.
  • docker-compose.yml — The full FCC stack (Proxy + Redis + Kernel).

🛡️ Security

This workbench allows for local testing of TEE logic. While the cryptography is production-grade (ECIES/secp256k1), real hardware isolation requires deployment to registered Flare TEE machines (Intel SGX/AMD SEV).

Built with 🥃 by FlareStudio