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
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