agentgrid-sdk Alternatives

agentid-sdk is an open-source Python SDK that provides AI guardrails, PII and secret masking, workflow telemetry, and audit logging for enterprise AI applications. It helps developers implement compliance and monitoring in their AI workflows.

agent-squad is an open-source Python framework for creating, orchestrating, and managing squads of autonomous AI agents. It provides a CLI interface and is designed for developers and researchers building complex agent-based systems. The project is licensed under Apache 2.0 and available on GitHub.

jdcloud-agentgrid-cli is an open-source command-line interface for managing AgentGrid infrastructure. It enables cloud engineers to interact with and orchestrate agent grids directly from the terminal, supporting automation and efficient operations.

agent-genesis is an open-source SDK and CLI/API toolkit for evaluating and testing AI agents. It provides developers with tools to benchmark, analyze, and improve agent performance during the development lifecycle.

agentdossier is an open-source Python SDK designed to help developers manage provenance, records, and anchoring for AI agent systems. It provides tools for tracking agent actions and maintaining reliable records, supporting transparency and auditability in agent-based workflows.

agent-device is a command-line interface tool designed to automate and verify interactions with real mobile and desktop applications for AI agents. It addresses the challenge of enabling agents to understand and control native apps across iOS, Android, TV, and desktop platforms, providing a unified workflow for device automation and verification. The tool is particularly suited for scenarios where agents need structured access to user interfaces, such as exploratory quality assurance, bug reproduction, regression testing, and clean-state testing. Key features of agent-device include the ability to open and interact with real applications on simulators, emulators, and physical devices. The tool captures structured UI snapshots by exposing the accessibility tree and assigning stable references to interactive elements, which helps agents maintain context efficiently without relying on raw screenshots or verbose dumps. It supports semantic selectors, allowing agents to identify elements by text, label, or role, and act with precision. Sessions can be explored, recorded into scripts, and replayed deterministically, with an experimental feature for automatically healing stale selectors during replay. agent-device offers a fully typed TypeScript client for direct integration into codebases or custom cloud agents, enabling programmatic session management, device provisioning, and snapshot capture. The tool also supports robust debugging capabilities, including parsed logs, network dumps, screenshots, and screen recordings, all accessible from the terminal. Additional features allow manipulation of device settings and push notification triggers, enhancing the scope of automated and exploratory testing workflows. The tool is delivered as a CLI, installable via npm, and can be used both locally and in cloud environments. It is made by Callstack, a group specializing in React and React Native development. agent-device also provides official skills packages to equip agents with predefined workflows and debugging patterns for mobile app automation.

AgentGuard is a runtime governance platform designed for production AI agents, with a focus on meeting regulatory and compliance requirements in financial services, particularly for APRA-regulated organizations in Australia and the Asia-Pacific region. The tool provides operational controls and audit evidence aligned with frameworks such as APRA CPS 230, the EU AI Act, and ISO 42001, enabling organizations to deploy AI agents that their regulators can approve. A central feature of AgentGuard is its runtime enforcement: it operates within the agent execution environment, intercepting tool calls, model outputs, and spending actions before they occur. Policy enforcement is managed through YAML-based declarative policies, allowing organizations to define tool whitelists, daily spending limits, requirements for human approval, and operational rules such as after-hours restrictions. The platform generates signed, Bitcoin-anchored audit records for every agent decision, and compiles these into compliance packs in PDF format, mapped to regulatory frameworks and suitable for board and auditor review. AgentGuard integrates with multiple AI agent frameworks, including OpenClaw, LangChain, CrewAI, AutoGen, OpenAI Assistants, and MCP. js with a single decorator or middleware. For OpenClaw, AgentGuard provides native governance features such as per-agent policy, fleet-level monitoring, cost tracking, and a killswitch for policy breaches, all without requiring code forks or patches. The platform can be installed locally or behind an organization's firewall, with no dependency on a SaaS runtime. The service is available under several pricing tiers: a free plan for one agent with limited retention and an MIT-licensed SDK; a Team plan at $499 AUD per month for up to 25 agents and extended retention with additional support; and a Compliance plan at $2,500 AUD per month, offering unlimited agents, extended retention, compliance evidence packs, and Bitcoin-anchored audit roots. An enterprise option with on-premises deployment and dedicated support is also available. AgentGuard is developed by The Bot Club Pty Ltd.

agentcheck-sdk is an open-source Python SDK that helps developers record and manage the permissions and actions of AI agents. It is designed for AI developers who need to track agent delegation and authorization.

evalgrid is an open-source framework designed for evaluating, scoring, and tracking the correctness of AI agents at scale. It provides tools for running large-scale agent tests, collecting metrics, and analyzing results, making it ideal for AI researchers and developers who need robust evaluation pipelines.

agent-gyrk is a command-line agent that runs the GYRK model, enabling vision and planning tasks to be automated from the terminal. It is designed for developers who want to integrate agentic workflows into their systems using a CLI tool.