agent-control

SHACKLE — a governance protocol and policy-decision daemon for autonomous AI agents. Enforces guardrails, budget/loop limits, and policy constraints in real time, with an audited decision engine, SP-1.0 protocol spec, Rust/TypeScript clients, and SOC2-aligned compliance tooling.

Independent control for AI agent actions. Use any agent. Route risky actions through one policy boundary before they send, deploy, push, publish, or spend.

deterministic governance layer for AI-assisted task execution

AANA is a pre-action control layer for AI agents: agents propose actions, AANA checks evidence/auth/risk, and tools execute only when the route is accept.

Structured cognitive control for LLM agent loops. External shadow monitor holds decision authority. 9-version proof chain. Soar/ACT-R/active-inference term mapping included.

Open-source MCP control-plane implementation of Human Agent Interface (HAI) by Samuel Fleig — mission contracts, owner gates, evidence-based completion.