A developer shared URML on Hacker News as a Show HN launch: an open-source safety-evaluation harness for AI agents running on lab and factory hardware, hosted on GitHub. It gives practitioners a tool for evaluating agent safety in industrial and laboratory settings. Engagement was minimal at time of capture.
A developer released Labgrid-MCP, an open-source tool that connects AI agents to real embedded hardware labs via the Model Context Protocol. It enables agents to control physical devices for testing and development, bridging the gap between AI and hardware.
A developer released Labgrid-MCP, an open-source tool that connects AI agents to real embedded hardware labs via the Model Context Protocol. It enables agents to control physical devices for testing and development, bridging the gap between AI and hardware.
Porcupine is a terminal-based AI agent designed for safe autonomy, allowing users to delegate tasks to an LLM-powered agent that operates in the command line. It solves the problem of risky autonomous actions by incorporating safety measures, targeting developers who want to automate terminal workflows with confidence.
Porcupine is a terminal-based AI agent designed for safe autonomy, allowing users to delegate tasks to an LLM-powered agent that operates in the command line. It solves the problem of risky autonomous actions by incorporating safety measures, targeting developers who want to automate terminal workflows with confidence.
ModelFuzz is an open-source tool that provides runtime guardrails for AI agents, helping developers enforce safety policies and prevent harmful outputs. It uses LLMs to monitor and intervene in agent actions in real time, solving the problem of unpredictable or unsafe agent behavior for developers building autonomous systems.
ModelFuzz is an open-source tool that provides runtime guardrails for AI agents, helping developers enforce safety policies and prevent harmful outputs. It uses LLMs to monitor and intervene in agent actions in real time, solving the problem of unpredictable or unsafe agent behavior for developers building autonomous systems.
RBEK is a platform that provides governed execution for AI agents, ensuring their actions comply with predefined policies. It uses LLMs to interpret and execute agent tasks while enforcing governance rules. This solves the problem of uncontrolled AI agent behavior in enterprise environments.
RBEK is a platform that provides governed execution for AI agents, ensuring their actions comply with predefined policies. It uses LLMs to interpret and execute agent tasks while enforcing governance rules. This solves the problem of uncontrolled AI agent behavior in enterprise environments.
Stonefold is a gateway that provides deterministic control for AI agents interacting with external systems. It uses LLMs to interpret user requests but enforces predefined workflows and validations to ensure reliable outcomes. It solves the problem of unpredictable agent behavior for enterprises needing safe automation.
Stonefold is a gateway that provides deterministic control for AI agents interacting with external systems. It uses LLMs to interpret user requests but enforces predefined workflows and validations to ensure reliable outcomes. It solves the problem of unpredictable agent behavior for enterprises needing safe automation.