Two developers released CROA, an open-source architecture and prototype Pilot that separates agent intelligence from execution authority. The external execution boundary evaluates whether an agent's proposed action keeps system state admissible before allowing state changes, catching constraint violations that individual action-level checks miss. The authors are asking agent-runtime builders to stress-test the design.
GraphARC is an open-source governed agent runtime where a model proposes a multi-node graph for a task, and a deterministic checker admits or refuses it with reasons before execution. It enforces policies, like denying rollback actions, to ensure agents only do what's allowed, solving the problem of unconstrained agent actions.
GraphARC is an open-source governed agent runtime where a model proposes a multi-node graph for a task, and a deterministic checker admits or refuses it with reasons before execution. It enforces policies, like denying rollback actions, to ensure agents only do what's allowed, solving the problem of unconstrained agent actions.
OxDeAI is an open-source protocol that enforces a fail-closed authorization boundary before agent actions execute. It uses signed artifacts and adapters for LangGraph, CrewAI, and AutoGen to prevent retry amplification, budget leaks, stale-state executions, and permission drift. It solves the problem of agents performing unauthorized or non-idempotent actions for developers building production agent systems.
OxDeAI is an open-source protocol that enforces a fail-closed authorization boundary before agent actions execute. It uses signed artifacts and adapters for LangGraph, CrewAI, and AutoGen to prevent retry amplification, budget leaks, stale-state executions, and permission drift. It solves the problem of agents performing unauthorized or non-idempotent actions for developers building production agent systems.
SOPVM is an open-source runtime that treats Standard Operating Procedures (SOPs) as executable specifications, placing the authorization decision outside the LLM. It solves the problem of LLM agents performing irreversible actions without proper oversight, providing a boundary for what the model is allowed to do.
SOPVM is an open-source runtime that treats Standard Operating Procedures (SOPs) as executable specifications, placing the authorization decision outside the LLM. It solves the problem of LLM agents performing irreversible actions without proper oversight, providing a boundary for what the model is allowed to do.
ARK is an open-source runtime layer that checks an agent's proposed tool actions against applicable constraints and trusted evidence before they execute. Agents propose an action, ARK returns ALLOW, REJECT, or REQUIRE_EVIDENCE, with feedback sent back to the agent. It targets developers building tool-using agents whose actions are consequential, such as refunds, bookings, or record modifications.
ARK is an open-source runtime layer that checks an agent's proposed tool actions against applicable constraints and trusted evidence before they execute. Agents propose an action, ARK returns ALLOW, REJECT, or REQUIRE_EVIDENCE, with feedback sent back to the agent. It targets developers building tool-using agents whose actions are consequential, such as refunds, bookings, or record modifications.
OIP (Organic Intelligence Protocol) is a prototype gate that AI workflows must pass before taking actions: it verifies that required evidence and authorization are present, and stops if a condition is missing. LLM-driven workflows call the gate so agents cannot execute unauthorized actions. It targets the problem of AI agents acting without approval, for developers building agent systems.
OIP (Organic Intelligence Protocol) is a prototype gate that AI workflows must pass before taking actions: it verifies that required evidence and authorization are present, and stops if a condition is missing. LLM-driven workflows call the gate so agents cannot execute unauthorized actions. It targets the problem of AI agents acting without approval, for developers building agent systems.