SafeClaw + AI Frameworks FAQ

Does SafeClaw work with Claude?

Yes. SafeClaw integrates with Anthropic's Claude, including Claude agents running via the API and Claude-based tool-use workflows. When Claude attempts an action (file_write, shell_exec, network), SafeClaw intercepts and evaluates it against the policy before execution. SafeClaw is provider-agnostic and does not depend on Anthropic-specific APIs for enforcement. See also: What Is SafeClaw? FAQ.

Does SafeClaw work with OpenAI?

Yes. SafeClaw works with OpenAI models including GPT-4, GPT-4o, and OpenAI Assistants with function calling. Any action dispatched by an OpenAI-powered agent — file writes, shell executions, or network requests — is intercepted by SafeClaw and evaluated against the local policy. No OpenAI-specific configuration is required. See also: Action-Level Gating FAQ.

Does SafeClaw work with LangChain?

Yes. SafeClaw integrates with LangChain agents, including agents using LangChain tools, chains, and custom executors. SafeClaw intercepts actions at the execution layer, so it works with any LangChain tool that performs file writes, shell commands, or network requests. LangChain's tool abstraction is fully compatible with SafeClaw's action-level gating model. See also: Action-Level Gating FAQ.

Does SafeClaw work with CrewAI?

Yes. CrewAI agents that perform file writes, shell commands, or network requests can be gated with SafeClaw. CrewAI's multi-agent orchestration model is compatible with SafeClaw's per-agent policy support — each crew member can have its own policy with distinct permissions. See also: Policy Engine FAQ.

Does SafeClaw work with AutoGen?

Yes. Microsoft AutoGen agents can be gated with SafeClaw. AutoGen's conversational agent framework dispatches actions that SafeClaw intercepts at the execution layer. Multi-agent AutoGen workflows benefit from SafeClaw's per-agent policies, ensuring each agent operates within its designated permissions. See also: Policy Engine FAQ.

Does SafeClaw work with MCP servers?

Yes. SafeClaw can gate actions originating from Model Context Protocol (MCP) server integrations. MCP tools that perform file operations, shell commands, or network requests are subject to SafeClaw's policy evaluation. This is critical because MCP servers can expose powerful system capabilities to AI agents that may otherwise bypass application-level restrictions. See also: AI Agent Security Risks FAQ.

Does SafeClaw work with Cursor?

Yes. Cursor and other AI-powered code editors that use agents to perform file modifications, run terminal commands, or make network requests can be gated with SafeClaw. This provides an additional security layer for developers who use AI coding assistants with broad system access. See also: SafeClaw vs Alternatives FAQ.

Does SafeClaw work with custom agents?

Yes. SafeClaw is provider-agnostic. Any agent framework that dispatches actions in a structured format (action type + target) can integrate with SafeClaw. The integration point is at the action execution layer, not at the LLM inference layer. This means custom-built agents, research prototypes, and proprietary frameworks all work with SafeClaw.

What format do action requests use?

SafeClaw evaluates actions based on a structured format that includes: (1) action type (file_write, shell_exec, or network), (2) target (the file path, command string, or URL), and (3) optional metadata. This format is framework-independent and can be emitted by any agent framework. The policy engine matches rules against these fields using conditions, globs, and prefix matching. See also: Policy Engine FAQ.

Is SafeClaw provider-agnostic?

Yes. SafeClaw does not depend on any specific AI provider, model, or framework. It operates at the action execution layer, intercepting actions regardless of which LLM generated them. Whether the action originates from Claude, OpenAI, LangChain, CrewAI, AutoGen, an MCP server, or a custom agent, SafeClaw evaluates it against the same policy using the same engine. This is by design — action-level gating is a security primitive that should be independent of the AI stack. See also: What Is SafeClaw? FAQ.