HELmR – A runtime control layer for autonomous agents
Deterministic agent governance with capability tokens beats probabilistic guardrails.
Execution authority layer for AI agents, vault-backed rollback and policy enforcement
The idea of inserting a deterministic 'gate' between proposed tool calls and execution is smart and practical: precomputed classification plus an agent-unreachable vault means destructive operations become reversible by default. The README calls out clear mechanics (envelope checks, vault backup, tiered responses and structured denials) which suggests this is more than a thought experiment — it's a focused infra piece for teams that actually let agents touch production.
Backend developers, AI/ML engineers building autonomous agents, security engineers and SREs concerned with agent governance
Deterministic agent governance with capability tokens beats probabilistic guardrails.
Fail-closed execution guard with signed proofs—but risk scoring lacks published methodology or benchmarks.
Minimal sudo wrapper for agents; solves real agent safety, but competes with framework guardrails.
2PC for AI agents—genuine architectural insight applying database safety to agentic decisions.
Reserve-commit lifecycle blocks agent actions before execution, unlike standard rate limiters.
Uses Elixir OTP to orchestrate Python agents with 3.77 KB memory overhead.