Run a coding agent in a sandboxed environment
Agent-run is a tool that lets you run a coding agent (an LLM-powered agent that writes code) inside a sandboxed environment. It solves the problem of safely executing AI-generated code without risking system integrity, targeting developers who want to experiment with or deploy coding agents.
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Runeward: Sandbox AI agents with policy gates
Runeward is a sandboxing tool for AI agents that enforces policy gates to restrict agent actions. It uses LLMs to interpret and enforce user-defined policies, solving the problem of unsafe or unintended agent behavior for developers building autonomous AI systems.
Sanbox: Isolated sandboxes for AI agents with MicroVM isolation
Sanbox is a platform that provides isolated, resumable sandboxes for running AI agents. It uses MicroVM isolation, a persistent filesystem, and a live trail of run events. The platform supports reusable templates, a CLI that works with Codex, Claude Code, Cursor, CI, or terminal, and can be self-hosted for security/compliance.
Coder: CLI tool to delegate coding tasks to background LLM agents
Coder is a CLI/plugin that lets developers dispatch coding tasks to background agents powered by Claude CLI or Codex CLI. It keeps the main session context clean and distributes workload across existing subscriptions. Built entirely with Claude Code, it is free and open source.
Block dangerous Git and shell commands from being executed by agents
A tool that prevents LLM-powered agents from executing dangerous Git and shell commands. It solves the problem of agents accidentally or maliciously running destructive commands like force pushes or rm -rf, protecting developers and CI/CD pipelines.
Declarative, sandboxed language for tool orchestration with LLMs
Skillscript is a small, declarative language for defining fixed procedures that local agents execute consistently, avoiding LLM drift and token waste. It lets users write and version agent behaviors instead of relying on model guesses each time. Solves the problem of unreliable, costly agent task execution for developers building local AI agents.