Technical

1. How are AI agents deployed and managed within JuliaOS?

• Via CLI commands (`juliaos agent deploy …`), or the web dashboard. Agent templates that support hot reloading.

2. What programming languages and frameworks are used?

• Core engine: Julia ≥ 1.10.

• Secure signer: Rust.

• SDKs / wrappers: TypeScript and Python (with optional LangChain helpers).

3. How does JuliaOS ensure the security and privacy of AI agent interactions?

• A Rust component isolates private keys and signs transactions via FFI.

• Layered RBAC & JWT auth on API endpoints, plus configurable risk limits per swarm.

4. What is the architecture of JuliaOS’s swarm intelligence system?

• 3-layer stack:

  • Agent logic (Julia/Python/TypeScript)

  • Julia Core & Swarm orchestration

  • Rust signer + optional bridges/adapters

• Agents communicate over pub/sub channels and share a global blackboard for state.

5. How does JuliaOS handle data storage and retrieval?

• Critical hashes can be pinned on external chains; large datasets live off-chain in PostgreSQL or object storage, configured in `config/defaults.toml`.

6. What are the system requirements for running JuliaOS?

• Bare Minimum: 4-core CPU, 8 GB RAM, 100 GB SSD, Docker ≥ 24.0; Linux or macOS with Julia 1.10 and Rust