Core Concepts (AKIOS V1.0)

Security-first runtime for AI agents: sandbox, PII redaction, audit, and cost/loop kills on every run.

Platform security levels

Environment Security level Notes
Native Linux Full (kernel-hard: cgroups v2 + seccomp-bpf) Maximum isolation and enforcement
Docker (macOS/Windows/Linux) Strong (policy-based) Cross-platform; host FS perms/seccomp depend on host

Docker is convenient and strong; use native Linux for the strictest guarantees (filesystem perms + seccomp on host).

Core protections

  • Sandbox & quotas: syscall filtering, CPU/memory/file limits, default-deny network.
  • PII redaction: >50 patterns on inputs/outputs.
  • Audit: Merkle-style, tamper-evident logs.
  • Cost/loop kills: budgets and token caps, loop detection.

Core agents (4)

  • filesystem — read/write/stat within allowed paths.
  • http — rate-limited web/API calls with redaction.
  • llm — token/cost-tracked calls to OpenAI, Anthropic, Grok, Mistral, Gemini.
  • tool_executor — allowlisted commands in a sandboxed subprocess.

Architecture

Single-process runtime, no sidecars. State is ephemeral per run; persistence is file-based (data/, audit/). Deployable as pip package or Docker (wrapper or direct). Minimal surface = easy to audit and operate in air‑gapped or high-assurance environments.