Stop Claude Code from doing irreversible damage. Policy-gated execution + receipts so you can ship agents without sweating production.

The deterministic execution layer for the agent economy — fail-closed policy enforcement, cryptographic receipts, replayable proofs.

A kernel-userland protocol enforcing information-theoretic bounds on AI adaptivity leakage, benchmark gaming, and capability spillover.

Execution OS with human approval gates and pressure-driven task control.

Offline-first LLM orchestration CLI for planning and executing human-approved tasks via validated git patches, with reproducible runs and full auditability.

AIΩN – A formal framework for deterministic, history-native computation.

Example skills, manifests, and reference projects for building on Inactu.

Secure execution substrate for immutable agent skills with explicit capabilities, cryptographic provenance, and auditable deterministic runs.

R-LAM is a reproducibility-constrained execution framework for Large Action Models in scientific workflow automation. It enables adaptive, agent-driven workflow execution while enforcing strict guarantees on auditability, determinism, and replayability.

Built to answer: How do you execute millions of smart contract transactions — concurrently — without breaking determinism?

Deterministic execution boundary for AI systems enforcing signed approvals, replay protection, and cryptographic receipts.

MCP server for deterministic task execution via Domain Profile Agents + Task Templates. Provides planning/orchestration layer for CLI AI assistants (Warp, etc.)