AgentGuard CLI Alternatives

AgentGuard is runtime governance software for production AI agents. It is built for APRA-regulated financial services in Australia and APAC, and it focuses on giving organizations CPS 230 evidence from day one, with EU AI Act and ISO 42001 mappings included. The system enforces policies inside the agent runtime rather than by scanning prompts. It intercepts tool calls, model outputs, and dollar-spend before they happen, and its YAML policies can block actions, require human approval, or escalate work to a second agent. The policy examples shown on the site include tool whitelists, dollar caps, PII egress controls, human-in-the-loop gates, and after-hours rules. AgentGuard also produces signed, Bitcoin-anchored audit records for agent decisions, and it assembles those records into a single PDF compliance pack with framework mappings, control owners, and statistical sampling. AgentGuard is shown as governing OpenClaw, LangChain, CrewAI, AutoGen, OpenAI Assistants, LangGraph, MCP, Vercel AI, and Express/FastAPI. The site says it installs with one line in Python or Node, works locally and behind a firewall, and has no SaaS dependency for runtime. It provides a decorator or middleware per framework, and for OpenClaw it is described as a drop-in plugin with per-claw policy, fleet view, and a killswitch and rollback on policy breach. Pricing includes a Free plan at $0 forever for one agent with 7-day retention, local audit log, Community Discord, and an MIT-licensed SDK. The Team plan is $499 AUD per month for up to 25 agents, with 90-day retention, SSO for Google and Microsoft, signed audit roots, and email support. The Compliance plan is $2,500 AUD per month flat for unlimited agents, 1-year retention plus cold archive, CPS 230 evidence pack, EU AI Act and ISO 42001 mappings, Bitcoin-anchored audit roots, and a quarterly readiness review. An Enterprise option adds on-prem deployment, an SLA, and a dedicated SE. It is developed by The Bot Club Pty Ltd.

AgentGuard is a free and open-source local desktop application designed to provide guardrails for AI coding agents. The tool focuses on enhancing security and efficiency by controlling and monitoring prompts and requests made by AI agents. Its primary features are Guardian Agent, which offers data loss prevention on prompts, tool inputs, and file reads, and Token Saver, which compresses verbose outputs and reduces unnecessary token usage before requests are sent to the AI model. Guardian Agent intercepts requests to block secrets, risky dependency installs, and oversized requests, applying token caps and flagging vulnerabilities in dependencies. It also provides update advice for outdated dependency pins. Token Saver reduces the context size by compressing shell outputs, caching repeated file reads, and shrinking noisy responses from search, diff, or JSON operations. These optimizations are tracked, with logs and analytics available to review token savings and event histories. AgentGuard includes review surfaces such as Logs, Analytics, and Garden. Logs provide a compact, exportable event history detailing Guardian and Token Saver actions. Analytics offer charts that track models used, token totals, savings, and trends in latency and tool calls. The Garden feature visualizes project activity, mapping modules, files, symbols, and import relationships. The application supports integration with three AI coding agents: Claude Code, Codex CLI, and Cursor. Guardian Agent's controls extend across all three integrations, while Token Saver offers the most extensive support for Claude Code. Delivery options include downloadable versions for Mac and Ubuntu, with the option to build from source using npm and Tauri for other operating systems. AgentGuard is positioned as a tool for developers seeking local data loss prevention, dependency protection, token optimization, and observability for workflows involving AI coding agents.

ai-agentguard is an open-source CLI tool that monitors AI coding agents for security threats such as remote code execution, MCP poisoning, and API key theft. It is designed for developers working with AI agent frameworks to enhance security.

agentguardCI is an open-source command-line tool that provides contract testing for tool-using AI agents. It integrates with CI pipelines to automatically evaluate and validate agent behaviors, helping developers ensure reliability and correctness of their AI systems.

AgentGuard is an MCP server from RLabs for AI code generation quality assurance. It is described as giving Claude, GPT, or Cursor a five-step process to generate production-ready code, and it uses archetypes, or architecture templates, to help keep project structure consistent and quality-focused. Its documented workflow exposes five capabilities: skeleton for project structure and scaffolding, contracts for type-safe interfaces and schemas, logic for implementation with validation, validate for structural and security checks, and digest for a quality report with trace summary. The page also describes a real example around generating a task management REST API and contrasts outcomes such as inconsistent file structure, partial or missing typing, low test coverage, disorganized imports, and long manual refactoring with the validated, standardized results associated with AgentGuard. It states that the tool provides code verification, protection against hallucinations, granular verification mechanisms, and validation decisions that are explainable and traceable. AgentGuard is delivered as an MCP server and can be installed with pip as rlabs-agentguard. The page shows a Claude desktop configuration snippet using agentguard-mcp and an archetype argument, and it notes that no API keys or extra configuration are required. It also references a marketplace with 61+ archetypes, 8 built-in archetypes, and 19 MCP tools. Pricing cues on the page include a Get Started Free prompt and monthly installs listed as 878+, while licensing is shown as MIT License. The page title and surrounding copy identify the product as AI quality assurance by RLabs.

AI-native quality gate for agent-generated code — scan, audit, auto-fix, trend

agent-memory-guard is an open-source CLI tool that provides runtime defense for AI agent memory, protecting against poisoning, tool abuse, and privilege escalation. It is designed for AI security engineers and follows OWASP guidelines.

contractguardian is an open-source CLI tool that uses AI to scan contracts for red flags, unfair terms, and missing protections. It helps legal professionals and developers automate contract review and improve legal compliance.

skillguard-cli is an open-source command-line tool designed to scan and analyze third-party AI agent-skill files, including SKILL.md manifests, hooks, and bundled scripts, for security vulnerabilities. It helps AI developers and security engineers ensure the safety and integrity of agent skills in their projects.

inter-agent-guard is an open-source security firewall library designed for multi-agent AI systems. It helps developers protect their agent-based applications from prompt injection and other security threats, with features like LangGraph integration and multi-agent support.

agentrun-cli is an open-source command-line interface for managing AI agent infrastructure, including sandboxing and LLM integration. It enables developers and infrastructure engineers to efficiently control and deploy agent-based systems from the terminal.

agentlint is an open-source CLI tool that provides real-time quality guardrails and linting for AI coding agents. It helps developers maintain code quality and safety by integrating with agentic coding workflows and enforcing best practices.

agentsentinel-cli is an open-source command-line tool that provides security scanning, static analysis, supply chain auditing, and multi-agent trust analysis for AI agents and MCP servers. It helps developers and security engineers identify vulnerabilities and ensure compliance with security best practices in agentic systems.

agentsec-cli is an open-source CLI tool that performs static security analysis on AI coding agents and Model Context Protocol (MCP) configurations. It helps developers and security teams identify vulnerabilities and misconfigurations in agent-based AI systems before deployment.

Raises the cost of prompt injection attacks against AI coding agents

agentic-guard is an open-source static analysis tool that scans LLM agent code for prompt injection and confused-deputy vulnerabilities. It helps AI developers and security engineers ensure the safety of agentic software.

agentnet-cli is an open-source command-line tool that detects AI agents and connects them to the Agent-net marketplace using the Model Context Protocol (MCP). It is designed for AI developers seeking to integrate their agents with broader agent-to-agent ecosystems.

agentdef is an open-source CLI tool and specification for defining AI agents in a portable, framework-agnostic way. It enables developers to standardize agent definitions and streamline deployment across different AI frameworks.

dfx-agentguard is an open-source CLI tool for autonomous security scanning of AI agents. It detects prompt injection, tool abuse, data exfiltration, and OWASP ASI Top 10 vulnerabilities, helping AI security engineers safeguard agent-based systems.

commitguard-cli is an open-source command-line tool that uses AI models to analyze Git commits for bugs and issues. It integrates with Git workflows to provide automated code review and quality checks, supporting developers in maintaining code quality.

aiagenthub-cli is an open-source command-line tool for running and managing AI agents. It supports agent registry, Docker integration, and automation, targeting developers building or orchestrating AI agent workflows.

guaardvark-guardian is an open-source CLI tool designed to supervise and enforce safety policies in autonomous AI agent systems. It provides code review, multi-tier supervision, and integrates with agent frameworks to enhance AI safety and reliability.

agent-id-cli is an open-source command-line interface for managing identities of AI agents. It allows developers to create, update, and organize agent identities efficiently. Suitable for AI developers and teams working with multiple agents.

Agentgrid-sdk is associated with a unified operational fleet matrix platform developed by Tech Fusion AI/ML LLC. The platform provides a security checkpoint for global fleet access, supporting roles such as system administrators and fleet developers. It offers a suite of features for managing operational fleets, including automated infrastructure deployment, message telemetry brokering, and enterprise-scale tensor processing arrays. The system includes a SaaS Edge Plan for automated deployment mapping, an EMQX Broker Plan for high-throughput multi-tenant message telemetry, and a Blackwell Tensor Plan for parallel optimization of tensor processing arrays, each available through a subscription model with pricing tiers. The platform supports a variety of deployment and integration options, including cloud-agnostic repositories, Python FastAPI, Rust WASM edge computing clusters, and distributed MQTT mesh networks. It is compatible with multiple cloud and edge environments such as Vercel Global Edge Nodes, Google Cloud Build, Azure Serverless Functions, Cloudflare Edge Workers, Supabase Autonomous Functions, NVIDIA OpenShell Secure Sandbox, NVIDIA NIM On-Premises Cluster, AWS Lambda, and self-hosted Docker VPS. The system also features agent compute prompt instruction runtime allocation and agent plan blueprints, as well as a mesh activity log output for monitoring operations. Targeted at users managing operational fleets—such as system administrators and fleet developers—the platform provides tools for optimizing battery sizing, demand response arbitrage, sustainability audits, and IoT edge ingress brokering. It supports secure access via authorized email and clearance levels, and offers billing and subscription management through Stripe.