Doberman
Your AI's guard dog. Doberman sits at runtime, gating every input, output and tool call to stop unsafe or unintended actions before they execute.
Cost / License
- Free
- Open Source (Apache-2.0)
Platforms
- Self-Hosted
Features
- Model Context Protocol (MCP) Support
Doberman News & Activities
Recent activities
- Alan-Fu added Doberman
aerospark added Doberman as alternative to HiddenContent.ai
Alan-Fu added Doberman as alternative to Pipelock, NemoClaw, AgentGuard and PromptLock
Doberman information
Developed by
DobermanCore Licensing
Open Source (Apache-2.0) and Free product.Written in
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- English
AlternativeTo Categories
Development, AI Tools & Services, Security & PrivacyGitHub repository
- 193 Stars
- 26 Forks
- 48 Open Issues
- Updated
What is Doberman?
Doberman is an open-source runtime security layer for AI agents that monitors tool calls, enforces execution policies and stops dangerous actions before they reach your system. It sits between an agent and its tools, assigning every action a PASS, AUTH or BLOCK verdict before execution.
Doberman combines deterministic guardrails with adaptive risk detection to protect against destructive commands, prompt injection, secret exposure, unsafe file operations and unauthorized tool use. It supports AI coding agents, MCP clients and autonomous workflows while preserving useful agent autonomy instead of forcing human approval for every action.
Built for developers and security teams, Doberman provides runtime policy enforcement, step-up authorization, audit logs and agent activity monitoring across tools like Claude Code, Codex, Cursor and other MCP-compatible systems. The open-source core is local-first and designed to act as a final security boundary when model-level guardrails fail.