AgentScout / Tasks / Evaluating agents / Guardrails and policies

AI tools for evaluating agents: guardrails and policies

Guardrails, policy engines and permission layers that limit what agents are allowed to do. Of the 110 tools on our evaluating agents page, 10 fit this narrower job. By pricing: 7 open source, 1 source-available, 1 paid, usage-based or enterprise, 1 pricing on the maker's site. The most-starred open repos here are Guardrails AI (7,529 stars), Superagent (6,766 stars), Agent Governance Toolkit (6,435 stars). Most come from the evals & observability (5), MCP & infra (4), coding (1) categories.

Guardrails AI logo

Guardrails AI

evals & observabilityOpen source + cloud

Open-source framework for validating LLM inputs and outputs with configurable guardrails.

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Superagent logo

Superagent

Newevals & observabilityOpen source

SDK for AI agent safety that blocks prompt injections and unsafe tool calls, redacts PII and secrets, and runs red-team scenarios.

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Agent Governance Toolkit logo

Agent Governance Toolkit

evals & observabilityOpen source

Microsoft toolkit for policy enforcement, identity and sandboxing for AI agents.

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Failproof AI logo

Failproof AI

evals & observabilityOpen source

Observability and policy enforcement for AI agent harnesses.

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coucou logo

coucou

NewcodingOpen source

Mac notch and phone companion that monitors your Claude Code, Codex, Cursor and Gemini CLI sessions and lets you approve permissions on the go.

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Metorial logo

Metorial

NewMCP & infraSource-available + cloud

Open-source identity and access layer that connects AI agents to 1,200+ integrations via MCP, CLI or API with auth, permissions and observability.

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ToolHive logo

ToolHive

NewMCP & infraOpen source

Stacklok platform that runs MCP servers in isolated containers with per-request identity, access policy and observability.

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Altmetric MCP logo

Altmetric MCP

NewMCP & infraSee site

Altmetric's MCP server for tracking research attention across news, policy documents and social media.

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NVIDIA Open Agent Safety Platform logo

NVIDIA Open Agent Safety Platform

MCP & infraOpen source

Reference stack pairing OpenShell with NVIDIA Sentry on BlueField-4 DPUs for hardware-level agent monitoring.

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Zenity logo

Zenity

evals & observabilityEnterprise

Security and governance for AI agents across enterprise platforms.

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GitHub repos (7)

RepoGitHub starsLicenceLast push
Guardrails AI ↗7,529Apache License 2.02026-08-26
Superagent ↗6,766——
Agent Governance Toolkit ↗6,435MIT2026-10-18
Failproof AI ↗5,560MIT2026-10-16
coucou ↗5,468——
Metorial ↗3,367——
ToolHive ↗2,293——

7 repos. Stars and licence come from each repo, checked when the listing was last verified.

FAQ

What are the best AI tools for evaluating agents focused on guardrails and policies?

We list 10. The first three by GitHub stars and featured status are Guardrails AI: Open-source framework for validating LLM inputs and outputs with configurable guardrails.; Superagent: SDK for AI agent safety that blocks prompt injections and unsafe tool calls, redacts PII and secrets, and runs red-team scenarios.; Agent Governance Toolkit: Microsoft toolkit for policy enforcement, identity and sandboxing for AI agents.

Are there free or open-source options?

Yes: 7 open source, 1 source-available, 1 paid, usage-based or enterprise, 1 pricing on the maker's site. Pricing is as each maker states it.

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