Sandboxed code execution daemon with enforced memory, CPU, and output limits. JSON API for humans and AI agents.

Security middleware for AI Agents. Intercepts shell commands before execution using a multi-layer pipeline: binary allowlist, regex patterns, deterministic intent coherence mapping, and LLM semantic check as last resort.

Safe execution layer for LLM tools: fatigue-aware gates, witness logs and policy checks before agents touch real systems.

Control plane for multi-agent engineering work: intent, plan, execute, review, synthesize, with trajectories and routing policy.

Aisandbox — AI monolith dev sandbox

Local natural-language command router that converts AI intent into whitelisted Git and workflow actions.

Deterministic MCP runtime for safe tool execution, policy gates, contracts, and local AI workflow governance.

Terminal-native AI agent orchestrator with safety gates, repo intelligence, and controlled execution workflows.

A v1 command execution sandbox in Zig with timeout control, output capture, and process handling.

Results utilities and wrappers made for JS

Güvenli ve kontrollü yerel masaüstü ajan sistemi (simülasyon + kullanıcı onayı) v1.4

Think. Review. Code. Safely.

Safe-by-construction local execution substrate for mini-swe-agent-style bash-action coding agents.

A secure MCP server for executing whitelisted development commands with comprehensive security controls.