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.

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

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

Aisandbox — AI monolith dev sandbox

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

Results utilities and wrappers made for JS

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

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

Think. Review. Code. Safely.

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

Run learner code safely-ish - restricted builtins, no imports, a timeout, zero dependencies

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

Default-deny local execution and model-runner boundary for broker workflows, with bounded JSON results, resource controls, model verification and JSONL streaming.