Doberman

What it does

Doberman is an open-source, runtime security layer for AI coding agents. It sits between the agent and its tools and gives every action a PASS, AUTH or BLOCK verdict before it runs. A deterministic core catches known dangerous behavior, while an adaptive layer learns what’s normal for you and raises risk when something looks off. It fails closed and learning is raise-only. Works with Claude Code, Codex, OpenClaw and MCP clients like Cursor.

Open-source AI agent security. Doberman gates every tool call from Claude Code, Codex, or any MCP agent with a PASS / AUTH / BLOCK verdict before it runs.

Doberman sits between your AI coding agent and its tools as a transparent Model Context Protocol (MCP) proxy, turning every action into PASS / AUTH / BLOCK before it runs. Prompt injection, tool poisoning, and data exfiltration all end in a tool call. Doberman is the code that call has to pass through. Any error, uncertainty, or unhandled case denies the action. Every path to a tool runs through the decision engine. Guardrails and adaptive learning can auto- tighten , never silently loosen. Every weakening requires explicit, 2FA-gated, audited human approval. Hard blocks are identical in every mode : secret exfiltration, destructive commands, role-boundary violations. The dial moves only…from trydoberman.dev

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  Doberman: The AI watchdog that stops Claude from deleting your databaseAug 2026 · github.com · ▲9

  Landing Page: https://www.trydoberman.dev/ The Problem: AI guardrails only protect against 89% of dangerous commands. This may seem pretty good until you think of it as a lock that lets 1 in 9 intruders in. What is Doberman: Doberman is a two layer security system wrapped around your LLM monitoring every input, output and tool call. The first layer is deterministic based on state of the art security guidelines, the second layer is dynamic, learning from your use and personal preferences. How is Doberman different: It is a dynamic two-layer security system that sits at runtime…

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